diff --git a/e2e/integration_tests/backends_test.ts b/e2e/integration_tests/backends_test.ts
index 139ede3ea84..06b819c8801 100644
--- a/e2e/integration_tests/backends_test.ts
+++ b/e2e/integration_tests/backends_test.ts
@@ -116,4 +116,80 @@ describe(`${SMOKE} backends`, () => {
       expect(after).toBe(webglBefore);
     });
   });
+
+  it('can execute op with data from mixed backends', async () => {
+    const numTensors = tfc.memory().numTensors;
+    const webglNumDataIds = tfc.findBackend('webgl').numDataIds();
+    const cpuNumDataIds = tfc.findBackend('cpu').numDataIds();
+
+    await tfc.setBackend('cpu');
+    // This scalar lives in cpu.
+    const a = tfc.scalar(5);
+
+    await tfc.setBackend('webgl');
+    // This scalar lives in webgl.
+    const b = tfc.scalar(3);
+
+    // Verify that ops can execute with mixed backend data.
+    tfc.engine().startScope();
+
+    await tfc.setBackend('cpu');
+    const result = tfc.add(a, b);
+    tfc.test_util.expectArraysClose(await result.data(), [8]);
+    expect(tfc.findBackend('cpu').numDataIds()).toBe(cpuNumDataIds + 3);
+
+    await tfc.setBackend('webgl');
+    tfc.test_util.expectArraysClose(await tfc.add(a, b).data(), [8]);
+    expect(tfc.findBackend('webgl').numDataIds()).toBe(webglNumDataIds + 3);
+
+    tfc.engine().endScope();
+
+    expect(tfc.memory().numTensors).toBe(numTensors + 2);
+    expect(tfc.findBackend('webgl').numDataIds()).toBe(webglNumDataIds + 2);
+    expect(tfc.findBackend('cpu').numDataIds()).toBe(cpuNumDataIds);
+
+    tfc.dispose([a, b]);
+
+    expect(tfc.memory().numTensors).toBe(numTensors);
+    expect(tfc.findBackend('webgl').numDataIds()).toBe(webglNumDataIds);
+    expect(tfc.findBackend('cpu').numDataIds()).toBe(cpuNumDataIds);
+  });
+
+  // tslint:disable-next-line: ban
+  xit('can move complex tensor from cpu to webgl.', async () => {
+    await tfc.setBackend('cpu');
+
+    const real1 = tfc.tensor1d([1]);
+    const imag1 = tfc.tensor1d([2]);
+    const complex1 = tfc.complex(real1, imag1);
+
+    await tfc.setBackend('webgl');
+
+    const real2 = tfc.tensor1d([3]);
+    const imag2 = tfc.tensor1d([4]);
+    const complex2 = tfc.complex(real2, imag2);
+
+    const result = complex1.add(complex2);
+
+    tfc.test_util.expectArraysClose(await result.data(), [4, 6]);
+  });
+
+  // tslint:disable-next-line: ban
+  xit('can move complex tensor from webgl to cpu.', async () => {
+    await tfc.setBackend('webgl');
+
+    const real1 = tfc.tensor1d([1]);
+    const imag1 = tfc.tensor1d([2]);
+    const complex1 = tfc.complex(real1, imag1);
+
+    await tfc.setBackend('cpu');
+
+    const real2 = tfc.tensor1d([3]);
+    const imag2 = tfc.tensor1d([4]);
+    const complex2 = tfc.complex(real2, imag2);
+
+    const result = complex1.add(complex2);
+
+    tfc.test_util.expectArraysClose(await result.data(), [4, 6]);
+  });
 });
diff --git a/e2e/yarn.lock b/e2e/yarn.lock
index c4566e401bc..0f69da94fa9 100644
--- a/e2e/yarn.lock
+++ b/e2e/yarn.lock
@@ -11,7 +11,7 @@
 
 "@babel/compat-data@^7.10.4", "@babel/compat-data@^7.11.0":
   version "7.11.0"
-  resolved "https://registry.yarnpkg.com/@babel/compat-data/-/compat-data-7.11.0.tgz#e9f73efe09af1355b723a7f39b11bad637d7c99c"
+  resolved "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.11.0.tgz#e9f73efe09af1355b723a7f39b11bad637d7c99c"
   integrity sha512-TPSvJfv73ng0pfnEOh17bYMPQbI95+nGWc71Ss4vZdRBHTDqmM9Z8ZV4rYz8Ks7sfzc95n30k6ODIq5UGnXcYQ==
   dependencies:
     browserslist "^4.12.0"
@@ -19,18 +19,18 @@
     semver "^5.5.0"
 
 "@babel/core@^7.11.1":
-  version "7.11.4"
-  resolved "https://registry.yarnpkg.com/@babel/core/-/core-7.11.4.tgz#4301dfdfafa01eeb97f1896c5501a3f0655d4229"
-  integrity sha512-5deljj5HlqRXN+5oJTY7Zs37iH3z3b++KjiKtIsJy1NrjOOVSEaJHEetLBhyu0aQOSNNZ/0IuEAan9GzRuDXHg==
+  version "7.11.6"
+  resolved "https://registry.npmjs.org/@babel/core/-/core-7.11.6.tgz#3a9455dc7387ff1bac45770650bc13ba04a15651"
+  integrity sha512-Wpcv03AGnmkgm6uS6k8iwhIwTrcP0m17TL1n1sy7qD0qelDu4XNeW0dN0mHfa+Gei211yDaLoEe/VlbXQzM4Bg==
   dependencies:
     "@babel/code-frame" "^7.10.4"
-    "@babel/generator" "^7.11.4"
+    "@babel/generator" "^7.11.6"
     "@babel/helper-module-transforms" "^7.11.0"
     "@babel/helpers" "^7.10.4"
-    "@babel/parser" "^7.11.4"
+    "@babel/parser" "^7.11.5"
     "@babel/template" "^7.10.4"
-    "@babel/traverse" "^7.11.0"
-    "@babel/types" "^7.11.0"
+    "@babel/traverse" "^7.11.5"
+    "@babel/types" "^7.11.5"
     convert-source-map "^1.7.0"
     debug "^4.1.0"
     gensync "^1.0.0-beta.1"
@@ -40,25 +40,25 @@
     semver "^5.4.1"
     source-map "^0.5.0"
 
-"@babel/generator@^7.11.0", "@babel/generator@^7.11.4":
-  version "7.11.4"
-  resolved "https://registry.yarnpkg.com/@babel/generator/-/generator-7.11.4.tgz#1ec7eec00defba5d6f83e50e3ee72ae2fee482be"
-  integrity sha512-Rn26vueFx0eOoz7iifCN2UHT6rGtnkSGWSoDRIy8jZN3B91PzeSULbswfLoOWuTuAcNwpG/mxy+uCTDnZ9Mp1g==
+"@babel/generator@^7.11.5", "@babel/generator@^7.11.6":
+  version "7.11.6"
+  resolved "https://registry.npmjs.org/@babel/generator/-/generator-7.11.6.tgz#b868900f81b163b4d464ea24545c61cbac4dc620"
+  integrity sha512-DWtQ1PV3r+cLbySoHrwn9RWEgKMBLLma4OBQloPRyDYvc5msJM9kvTLo1YnlJd1P/ZuKbdli3ijr5q3FvAF3uA==
   dependencies:
-    "@babel/types" "^7.11.0"
+    "@babel/types" "^7.11.5"
     jsesc "^2.5.1"
     source-map "^0.5.0"
 
 "@babel/helper-annotate-as-pure@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.10.4.tgz#5bf0d495a3f757ac3bda48b5bf3b3ba309c72ba3"
+  resolved "https://registry.npmjs.org/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.10.4.tgz#5bf0d495a3f757ac3bda48b5bf3b3ba309c72ba3"
   integrity sha512-XQlqKQP4vXFB7BN8fEEerrmYvHp3fK/rBkRFz9jaJbzK0B1DSfej9Kc7ZzE8Z/OnId1jpJdNAZ3BFQjWG68rcA==
   dependencies:
     "@babel/types" "^7.10.4"
 
 "@babel/helper-builder-binary-assignment-operator-visitor@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-builder-binary-assignment-operator-visitor/-/helper-builder-binary-assignment-operator-visitor-7.10.4.tgz#bb0b75f31bf98cbf9ff143c1ae578b87274ae1a3"
+  resolved "https://registry.npmjs.org/@babel/helper-builder-binary-assignment-operator-visitor/-/helper-builder-binary-assignment-operator-visitor-7.10.4.tgz#bb0b75f31bf98cbf9ff143c1ae578b87274ae1a3"
   integrity sha512-L0zGlFrGWZK4PbT8AszSfLTM5sDU1+Az/En9VrdT8/LmEiJt4zXt+Jve9DCAnQcbqDhCI+29y/L93mrDzddCcg==
   dependencies:
     "@babel/helper-explode-assignable-expression" "^7.10.4"
@@ -66,7 +66,7 @@
 
 "@babel/helper-compilation-targets@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-compilation-targets/-/helper-compilation-targets-7.10.4.tgz#804ae8e3f04376607cc791b9d47d540276332bd2"
+  resolved "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.10.4.tgz#804ae8e3f04376607cc791b9d47d540276332bd2"
   integrity sha512-a3rYhlsGV0UHNDvrtOXBg8/OpfV0OKTkxKPzIplS1zpx7CygDcWWxckxZeDd3gzPzC4kUT0A4nVFDK0wGMh4MQ==
   dependencies:
     "@babel/compat-data" "^7.10.4"
@@ -77,7 +77,7 @@
 
 "@babel/helper-create-class-features-plugin@^7.10.4":
   version "7.10.5"
-  resolved "https://registry.yarnpkg.com/@babel/helper-create-class-features-plugin/-/helper-create-class-features-plugin-7.10.5.tgz#9f61446ba80e8240b0a5c85c6fdac8459d6f259d"
+  resolved "https://registry.npmjs.org/@babel/helper-create-class-features-plugin/-/helper-create-class-features-plugin-7.10.5.tgz#9f61446ba80e8240b0a5c85c6fdac8459d6f259d"
   integrity sha512-0nkdeijB7VlZoLT3r/mY3bUkw3T8WG/hNw+FATs/6+pG2039IJWjTYL0VTISqsNHMUTEnwbVnc89WIJX9Qed0A==
   dependencies:
     "@babel/helper-function-name" "^7.10.4"
@@ -89,7 +89,7 @@
 
 "@babel/helper-create-regexp-features-plugin@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-create-regexp-features-plugin/-/helper-create-regexp-features-plugin-7.10.4.tgz#fdd60d88524659a0b6959c0579925e425714f3b8"
+  resolved "https://registry.npmjs.org/@babel/helper-create-regexp-features-plugin/-/helper-create-regexp-features-plugin-7.10.4.tgz#fdd60d88524659a0b6959c0579925e425714f3b8"
   integrity sha512-2/hu58IEPKeoLF45DBwx3XFqsbCXmkdAay4spVr2x0jYgRxrSNp+ePwvSsy9g6YSaNDcKIQVPXk1Ov8S2edk2g==
   dependencies:
     "@babel/helper-annotate-as-pure" "^7.10.4"
@@ -98,7 +98,7 @@
 
 "@babel/helper-define-map@^7.10.4":
   version "7.10.5"
-  resolved "https://registry.yarnpkg.com/@babel/helper-define-map/-/helper-define-map-7.10.5.tgz#b53c10db78a640800152692b13393147acb9bb30"
+  resolved "https://registry.npmjs.org/@babel/helper-define-map/-/helper-define-map-7.10.5.tgz#b53c10db78a640800152692b13393147acb9bb30"
   integrity sha512-fMw4kgFB720aQFXSVaXr79pjjcW5puTCM16+rECJ/plGS+zByelE8l9nCpV1GibxTnFVmUuYG9U8wYfQHdzOEQ==
   dependencies:
     "@babel/helper-function-name" "^7.10.4"
@@ -107,14 +107,14 @@
 
 "@babel/helper-explode-assignable-expression@^7.10.4":
   version "7.11.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-explode-assignable-expression/-/helper-explode-assignable-expression-7.11.4.tgz#2d8e3470252cc17aba917ede7803d4a7a276a41b"
+  resolved "https://registry.npmjs.org/@babel/helper-explode-assignable-expression/-/helper-explode-assignable-expression-7.11.4.tgz#2d8e3470252cc17aba917ede7803d4a7a276a41b"
   integrity sha512-ux9hm3zR4WV1Y3xXxXkdG/0gxF9nvI0YVmKVhvK9AfMoaQkemL3sJpXw+Xbz65azo8qJiEz2XVDUpK3KYhH3ZQ==
   dependencies:
     "@babel/types" "^7.10.4"
 
 "@babel/helper-function-name@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-function-name/-/helper-function-name-7.10.4.tgz#d2d3b20c59ad8c47112fa7d2a94bc09d5ef82f1a"
+  resolved "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.10.4.tgz#d2d3b20c59ad8c47112fa7d2a94bc09d5ef82f1a"
   integrity sha512-YdaSyz1n8gY44EmN7x44zBn9zQ1Ry2Y+3GTA+3vH6Mizke1Vw0aWDM66FOYEPw8//qKkmqOckrGgTYa+6sceqQ==
   dependencies:
     "@babel/helper-get-function-arity" "^7.10.4"
@@ -123,35 +123,35 @@
 
 "@babel/helper-get-function-arity@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-get-function-arity/-/helper-get-function-arity-7.10.4.tgz#98c1cbea0e2332f33f9a4661b8ce1505b2c19ba2"
+  resolved "https://registry.npmjs.org/@babel/helper-get-function-arity/-/helper-get-function-arity-7.10.4.tgz#98c1cbea0e2332f33f9a4661b8ce1505b2c19ba2"
   integrity sha512-EkN3YDB+SRDgiIUnNgcmiD361ti+AVbL3f3Henf6dqqUyr5dMsorno0lJWJuLhDhkI5sYEpgj6y9kB8AOU1I2A==
   dependencies:
     "@babel/types" "^7.10.4"
 
 "@babel/helper-hoist-variables@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-hoist-variables/-/helper-hoist-variables-7.10.4.tgz#d49b001d1d5a68ca5e6604dda01a6297f7c9381e"
+  resolved "https://registry.npmjs.org/@babel/helper-hoist-variables/-/helper-hoist-variables-7.10.4.tgz#d49b001d1d5a68ca5e6604dda01a6297f7c9381e"
   integrity sha512-wljroF5PgCk2juF69kanHVs6vrLwIPNp6DLD+Lrl3hoQ3PpPPikaDRNFA+0t81NOoMt2DL6WW/mdU8k4k6ZzuA==
   dependencies:
     "@babel/types" "^7.10.4"
 
 "@babel/helper-member-expression-to-functions@^7.10.4", "@babel/helper-member-expression-to-functions@^7.10.5":
   version "7.11.0"
-  resolved "https://registry.yarnpkg.com/@babel/helper-member-expression-to-functions/-/helper-member-expression-to-functions-7.11.0.tgz#ae69c83d84ee82f4b42f96e2a09410935a8f26df"
+  resolved "https://registry.npmjs.org/@babel/helper-member-expression-to-functions/-/helper-member-expression-to-functions-7.11.0.tgz#ae69c83d84ee82f4b42f96e2a09410935a8f26df"
   integrity sha512-JbFlKHFntRV5qKw3YC0CvQnDZ4XMwgzzBbld7Ly4Mj4cbFy3KywcR8NtNctRToMWJOVvLINJv525Gd6wwVEx/Q==
   dependencies:
     "@babel/types" "^7.11.0"
 
 "@babel/helper-module-imports@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-module-imports/-/helper-module-imports-7.10.4.tgz#4c5c54be04bd31670a7382797d75b9fa2e5b5620"
+  resolved "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.10.4.tgz#4c5c54be04bd31670a7382797d75b9fa2e5b5620"
   integrity sha512-nEQJHqYavI217oD9+s5MUBzk6x1IlvoS9WTPfgG43CbMEeStE0v+r+TucWdx8KFGowPGvyOkDT9+7DHedIDnVw==
   dependencies:
     "@babel/types" "^7.10.4"
 
 "@babel/helper-module-transforms@^7.10.4", "@babel/helper-module-transforms@^7.10.5", "@babel/helper-module-transforms@^7.11.0":
   version "7.11.0"
-  resolved "https://registry.yarnpkg.com/@babel/helper-module-transforms/-/helper-module-transforms-7.11.0.tgz#b16f250229e47211abdd84b34b64737c2ab2d359"
+  resolved "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.11.0.tgz#b16f250229e47211abdd84b34b64737c2ab2d359"
   integrity sha512-02EVu8COMuTRO1TAzdMtpBPbe6aQ1w/8fePD2YgQmxZU4gpNWaL9gK3Jp7dxlkUlUCJOTaSeA+Hrm1BRQwqIhg==
   dependencies:
     "@babel/helper-module-imports" "^7.10.4"
@@ -164,26 +164,26 @@
 
 "@babel/helper-optimise-call-expression@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-optimise-call-expression/-/helper-optimise-call-expression-7.10.4.tgz#50dc96413d594f995a77905905b05893cd779673"
+  resolved "https://registry.npmjs.org/@babel/helper-optimise-call-expression/-/helper-optimise-call-expression-7.10.4.tgz#50dc96413d594f995a77905905b05893cd779673"
   integrity sha512-n3UGKY4VXwXThEiKrgRAoVPBMqeoPgHVqiHZOanAJCG9nQUL2pLRQirUzl0ioKclHGpGqRgIOkgcIJaIWLpygg==
   dependencies:
     "@babel/types" "^7.10.4"
 
 "@babel/helper-plugin-utils@^7.0.0", "@babel/helper-plugin-utils@^7.10.4", "@babel/helper-plugin-utils@^7.8.0", "@babel/helper-plugin-utils@^7.8.3":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-plugin-utils/-/helper-plugin-utils-7.10.4.tgz#2f75a831269d4f677de49986dff59927533cf375"
+  resolved "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.10.4.tgz#2f75a831269d4f677de49986dff59927533cf375"
   integrity sha512-O4KCvQA6lLiMU9l2eawBPMf1xPP8xPfB3iEQw150hOVTqj/rfXz0ThTb4HEzqQfs2Bmo5Ay8BzxfzVtBrr9dVg==
 
 "@babel/helper-regex@^7.10.4":
   version "7.10.5"
-  resolved "https://registry.yarnpkg.com/@babel/helper-regex/-/helper-regex-7.10.5.tgz#32dfbb79899073c415557053a19bd055aae50ae0"
+  resolved "https://registry.npmjs.org/@babel/helper-regex/-/helper-regex-7.10.5.tgz#32dfbb79899073c415557053a19bd055aae50ae0"
   integrity sha512-68kdUAzDrljqBrio7DYAEgCoJHxppJOERHOgOrDN7WjOzP0ZQ1LsSDRXcemzVZaLvjaJsJEESb6qt+znNuENDg==
   dependencies:
     lodash "^4.17.19"
 
 "@babel/helper-remap-async-to-generator@^7.10.4":
   version "7.11.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-remap-async-to-generator/-/helper-remap-async-to-generator-7.11.4.tgz#4474ea9f7438f18575e30b0cac784045b402a12d"
+  resolved "https://registry.npmjs.org/@babel/helper-remap-async-to-generator/-/helper-remap-async-to-generator-7.11.4.tgz#4474ea9f7438f18575e30b0cac784045b402a12d"
   integrity sha512-tR5vJ/vBa9wFy3m5LLv2faapJLnDFxNWff2SAYkSE4rLUdbp7CdObYFgI7wK4T/Mj4UzpjPwzR8Pzmr5m7MHGA==
   dependencies:
     "@babel/helper-annotate-as-pure" "^7.10.4"
@@ -193,7 +193,7 @@
 
 "@babel/helper-replace-supers@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-replace-supers/-/helper-replace-supers-7.10.4.tgz#d585cd9388ea06e6031e4cd44b6713cbead9e6cf"
+  resolved "https://registry.npmjs.org/@babel/helper-replace-supers/-/helper-replace-supers-7.10.4.tgz#d585cd9388ea06e6031e4cd44b6713cbead9e6cf"
   integrity sha512-sPxZfFXocEymYTdVK1UNmFPBN+Hv5mJkLPsYWwGBxZAxaWfFu+xqp7b6qWD0yjNuNL2VKc6L5M18tOXUP7NU0A==
   dependencies:
     "@babel/helper-member-expression-to-functions" "^7.10.4"
@@ -203,7 +203,7 @@
 
 "@babel/helper-simple-access@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-simple-access/-/helper-simple-access-7.10.4.tgz#0f5ccda2945277a2a7a2d3a821e15395edcf3461"
+  resolved "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.10.4.tgz#0f5ccda2945277a2a7a2d3a821e15395edcf3461"
   integrity sha512-0fMy72ej/VEvF8ULmX6yb5MtHG4uH4Dbd6I/aHDb/JVg0bbivwt9Wg+h3uMvX+QSFtwr5MeItvazbrc4jtRAXw==
   dependencies:
     "@babel/template" "^7.10.4"
@@ -211,14 +211,14 @@
 
 "@babel/helper-skip-transparent-expression-wrappers@^7.11.0":
   version "7.11.0"
-  resolved "https://registry.yarnpkg.com/@babel/helper-skip-transparent-expression-wrappers/-/helper-skip-transparent-expression-wrappers-7.11.0.tgz#eec162f112c2f58d3af0af125e3bb57665146729"
+  resolved "https://registry.npmjs.org/@babel/helper-skip-transparent-expression-wrappers/-/helper-skip-transparent-expression-wrappers-7.11.0.tgz#eec162f112c2f58d3af0af125e3bb57665146729"
   integrity sha512-0XIdiQln4Elglgjbwo9wuJpL/K7AGCY26kmEt0+pRP0TAj4jjyNq1MjoRvikrTVqKcx4Gysxt4cXvVFXP/JO2Q==
   dependencies:
     "@babel/types" "^7.11.0"
 
 "@babel/helper-split-export-declaration@^7.10.4", "@babel/helper-split-export-declaration@^7.11.0":
   version "7.11.0"
-  resolved "https://registry.yarnpkg.com/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.11.0.tgz#f8a491244acf6a676158ac42072911ba83ad099f"
+  resolved "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.11.0.tgz#f8a491244acf6a676158ac42072911ba83ad099f"
   integrity sha512-74Vejvp6mHkGE+m+k5vHY93FX2cAtrw1zXrZXRlG4l410Nm9PxfEiVTn1PjDPV5SnmieiueY4AFg2xqhNFuuZg==
   dependencies:
     "@babel/types" "^7.11.0"
@@ -230,7 +230,7 @@
 
 "@babel/helper-wrap-function@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helper-wrap-function/-/helper-wrap-function-7.10.4.tgz#8a6f701eab0ff39f765b5a1cfef409990e624b87"
+  resolved "https://registry.npmjs.org/@babel/helper-wrap-function/-/helper-wrap-function-7.10.4.tgz#8a6f701eab0ff39f765b5a1cfef409990e624b87"
   integrity sha512-6py45WvEF0MhiLrdxtRjKjufwLL1/ob2qDJgg5JgNdojBAZSAKnAjkyOCNug6n+OBl4VW76XjvgSFTdaMcW0Ug==
   dependencies:
     "@babel/helper-function-name" "^7.10.4"
@@ -240,7 +240,7 @@
 
 "@babel/helpers@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/helpers/-/helpers-7.10.4.tgz#2abeb0d721aff7c0a97376b9e1f6f65d7a475044"
+  resolved "https://registry.npmjs.org/@babel/helpers/-/helpers-7.10.4.tgz#2abeb0d721aff7c0a97376b9e1f6f65d7a475044"
   integrity sha512-L2gX/XeUONeEbI78dXSrJzGdz4GQ+ZTA/aazfUsFaWjSe95kiCuOZ5HsXvkiw3iwF+mFHSRUfJU8t6YavocdXA==
   dependencies:
     "@babel/template" "^7.10.4"
@@ -256,14 +256,14 @@
     chalk "^2.0.0"
     js-tokens "^4.0.0"
 
-"@babel/parser@^7.10.4", "@babel/parser@^7.11.0", "@babel/parser@^7.11.4":
-  version "7.11.4"
-  resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.11.4.tgz#6fa1a118b8b0d80d0267b719213dc947e88cc0ca"
-  integrity sha512-MggwidiH+E9j5Sh8pbrX5sJvMcsqS5o+7iB42M9/k0CD63MjYbdP4nhSh7uB5wnv2/RVzTZFTxzF/kIa5mrCqA==
+"@babel/parser@^7.10.4", "@babel/parser@^7.11.5":
+  version "7.11.5"
+  resolved "https://registry.npmjs.org/@babel/parser/-/parser-7.11.5.tgz#c7ff6303df71080ec7a4f5b8c003c58f1cf51037"
+  integrity sha512-X9rD8qqm695vgmeaQ4fvz/o3+Wk4ZzQvSHkDBgpYKxpD4qTAUm88ZKtHkVqIOsYFFbIQ6wQYhC6q7pjqVK0E0Q==
 
 "@babel/plugin-proposal-async-generator-functions@^7.10.4":
   version "7.10.5"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-async-generator-functions/-/plugin-proposal-async-generator-functions-7.10.5.tgz#3491cabf2f7c179ab820606cec27fed15e0e8558"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-async-generator-functions/-/plugin-proposal-async-generator-functions-7.10.5.tgz#3491cabf2f7c179ab820606cec27fed15e0e8558"
   integrity sha512-cNMCVezQbrRGvXJwm9fu/1sJj9bHdGAgKodZdLqOQIpfoH3raqmRPBM17+lh7CzhiKRRBrGtZL9WcjxSoGYUSg==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -272,7 +272,7 @@
 
 "@babel/plugin-proposal-class-properties@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-class-properties/-/plugin-proposal-class-properties-7.10.4.tgz#a33bf632da390a59c7a8c570045d1115cd778807"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-class-properties/-/plugin-proposal-class-properties-7.10.4.tgz#a33bf632da390a59c7a8c570045d1115cd778807"
   integrity sha512-vhwkEROxzcHGNu2mzUC0OFFNXdZ4M23ib8aRRcJSsW8BZK9pQMD7QB7csl97NBbgGZO7ZyHUyKDnxzOaP4IrCg==
   dependencies:
     "@babel/helper-create-class-features-plugin" "^7.10.4"
@@ -280,7 +280,7 @@
 
 "@babel/plugin-proposal-dynamic-import@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-dynamic-import/-/plugin-proposal-dynamic-import-7.10.4.tgz#ba57a26cb98b37741e9d5bca1b8b0ddf8291f17e"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-dynamic-import/-/plugin-proposal-dynamic-import-7.10.4.tgz#ba57a26cb98b37741e9d5bca1b8b0ddf8291f17e"
   integrity sha512-up6oID1LeidOOASNXgv/CFbgBqTuKJ0cJjz6An5tWD+NVBNlp3VNSBxv2ZdU7SYl3NxJC7agAQDApZusV6uFwQ==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -288,7 +288,7 @@
 
 "@babel/plugin-proposal-export-namespace-from@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-export-namespace-from/-/plugin-proposal-export-namespace-from-7.10.4.tgz#570d883b91031637b3e2958eea3c438e62c05f54"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-export-namespace-from/-/plugin-proposal-export-namespace-from-7.10.4.tgz#570d883b91031637b3e2958eea3c438e62c05f54"
   integrity sha512-aNdf0LY6/3WXkhh0Fdb6Zk9j1NMD8ovj3F6r0+3j837Pn1S1PdNtcwJ5EG9WkVPNHPxyJDaxMaAOVq4eki0qbg==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -296,7 +296,7 @@
 
 "@babel/plugin-proposal-json-strings@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-json-strings/-/plugin-proposal-json-strings-7.10.4.tgz#593e59c63528160233bd321b1aebe0820c2341db"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-json-strings/-/plugin-proposal-json-strings-7.10.4.tgz#593e59c63528160233bd321b1aebe0820c2341db"
   integrity sha512-fCL7QF0Jo83uy1K0P2YXrfX11tj3lkpN7l4dMv9Y9VkowkhkQDwFHFd8IiwyK5MZjE8UpbgokkgtcReH88Abaw==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -304,7 +304,7 @@
 
 "@babel/plugin-proposal-logical-assignment-operators@^7.11.0":
   version "7.11.0"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-logical-assignment-operators/-/plugin-proposal-logical-assignment-operators-7.11.0.tgz#9f80e482c03083c87125dee10026b58527ea20c8"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-logical-assignment-operators/-/plugin-proposal-logical-assignment-operators-7.11.0.tgz#9f80e482c03083c87125dee10026b58527ea20c8"
   integrity sha512-/f8p4z+Auz0Uaf+i8Ekf1iM7wUNLcViFUGiPxKeXvxTSl63B875YPiVdUDdem7hREcI0E0kSpEhS8tF5RphK7Q==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -312,7 +312,7 @@
 
 "@babel/plugin-proposal-nullish-coalescing-operator@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-nullish-coalescing-operator/-/plugin-proposal-nullish-coalescing-operator-7.10.4.tgz#02a7e961fc32e6d5b2db0649e01bf80ddee7e04a"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-nullish-coalescing-operator/-/plugin-proposal-nullish-coalescing-operator-7.10.4.tgz#02a7e961fc32e6d5b2db0649e01bf80ddee7e04a"
   integrity sha512-wq5n1M3ZUlHl9sqT2ok1T2/MTt6AXE0e1Lz4WzWBr95LsAZ5qDXe4KnFuauYyEyLiohvXFMdbsOTMyLZs91Zlw==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -320,7 +320,7 @@
 
 "@babel/plugin-proposal-numeric-separator@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-numeric-separator/-/plugin-proposal-numeric-separator-7.10.4.tgz#ce1590ff0a65ad12970a609d78855e9a4c1aef06"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-numeric-separator/-/plugin-proposal-numeric-separator-7.10.4.tgz#ce1590ff0a65ad12970a609d78855e9a4c1aef06"
   integrity sha512-73/G7QoRoeNkLZFxsoCCvlg4ezE4eM+57PnOqgaPOozd5myfj7p0muD1mRVJvbUWbOzD+q3No2bWbaKy+DJ8DA==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -328,7 +328,7 @@
 
 "@babel/plugin-proposal-object-rest-spread@^7.11.0":
   version "7.11.0"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-object-rest-spread/-/plugin-proposal-object-rest-spread-7.11.0.tgz#bd81f95a1f746760ea43b6c2d3d62b11790ad0af"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-object-rest-spread/-/plugin-proposal-object-rest-spread-7.11.0.tgz#bd81f95a1f746760ea43b6c2d3d62b11790ad0af"
   integrity sha512-wzch41N4yztwoRw0ak+37wxwJM2oiIiy6huGCoqkvSTA9acYWcPfn9Y4aJqmFFJ70KTJUu29f3DQ43uJ9HXzEA==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -337,7 +337,7 @@
 
 "@babel/plugin-proposal-optional-catch-binding@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-optional-catch-binding/-/plugin-proposal-optional-catch-binding-7.10.4.tgz#31c938309d24a78a49d68fdabffaa863758554dd"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-optional-catch-binding/-/plugin-proposal-optional-catch-binding-7.10.4.tgz#31c938309d24a78a49d68fdabffaa863758554dd"
   integrity sha512-LflT6nPh+GK2MnFiKDyLiqSqVHkQnVf7hdoAvyTnnKj9xB3docGRsdPuxp6qqqW19ifK3xgc9U5/FwrSaCNX5g==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -345,7 +345,7 @@
 
 "@babel/plugin-proposal-optional-chaining@^7.11.0":
   version "7.11.0"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-optional-chaining/-/plugin-proposal-optional-chaining-7.11.0.tgz#de5866d0646f6afdaab8a566382fe3a221755076"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-optional-chaining/-/plugin-proposal-optional-chaining-7.11.0.tgz#de5866d0646f6afdaab8a566382fe3a221755076"
   integrity sha512-v9fZIu3Y8562RRwhm1BbMRxtqZNFmFA2EG+pT2diuU8PT3H6T/KXoZ54KgYisfOFZHV6PfvAiBIZ9Rcz+/JCxA==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -354,7 +354,7 @@
 
 "@babel/plugin-proposal-private-methods@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-private-methods/-/plugin-proposal-private-methods-7.10.4.tgz#b160d972b8fdba5c7d111a145fc8c421fc2a6909"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-private-methods/-/plugin-proposal-private-methods-7.10.4.tgz#b160d972b8fdba5c7d111a145fc8c421fc2a6909"
   integrity sha512-wh5GJleuI8k3emgTg5KkJK6kHNsGEr0uBTDBuQUBJwckk9xs1ez79ioheEVVxMLyPscB0LfkbVHslQqIzWV6Bw==
   dependencies:
     "@babel/helper-create-class-features-plugin" "^7.10.4"
@@ -362,7 +362,7 @@
 
 "@babel/plugin-proposal-unicode-property-regex@^7.10.4", "@babel/plugin-proposal-unicode-property-regex@^7.4.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-unicode-property-regex/-/plugin-proposal-unicode-property-regex-7.10.4.tgz#4483cda53041ce3413b7fe2f00022665ddfaa75d"
+  resolved "https://registry.npmjs.org/@babel/plugin-proposal-unicode-property-regex/-/plugin-proposal-unicode-property-regex-7.10.4.tgz#4483cda53041ce3413b7fe2f00022665ddfaa75d"
   integrity sha512-H+3fOgPnEXFL9zGYtKQe4IDOPKYlZdF1kqFDQRRb8PK4B8af1vAGK04tF5iQAAsui+mHNBQSAtd2/ndEDe9wuA==
   dependencies:
     "@babel/helper-create-regexp-features-plugin" "^7.10.4"
@@ -370,98 +370,98 @@
 
 "@babel/plugin-syntax-async-generators@^7.8.0":
   version "7.8.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-async-generators/-/plugin-syntax-async-generators-7.8.4.tgz#a983fb1aeb2ec3f6ed042a210f640e90e786fe0d"
+  resolved "https://registry.npmjs.org/@babel/plugin-syntax-async-generators/-/plugin-syntax-async-generators-7.8.4.tgz#a983fb1aeb2ec3f6ed042a210f640e90e786fe0d"
   integrity sha512-tycmZxkGfZaxhMRbXlPXuVFpdWlXpir2W4AMhSJgRKzk/eDlIXOhb2LHWoLpDF7TEHylV5zNhykX6KAgHJmTNw==
   dependencies:
     "@babel/helper-plugin-utils" "^7.8.0"
 
 "@babel/plugin-syntax-class-properties@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-class-properties/-/plugin-syntax-class-properties-7.10.4.tgz#6644e6a0baa55a61f9e3231f6c9eeb6ee46c124c"
+  resolved "https://registry.npmjs.org/@babel/plugin-syntax-class-properties/-/plugin-syntax-class-properties-7.10.4.tgz#6644e6a0baa55a61f9e3231f6c9eeb6ee46c124c"
   integrity sha512-GCSBF7iUle6rNugfURwNmCGG3Z/2+opxAMLs1nND4bhEG5PuxTIggDBoeYYSujAlLtsupzOHYJQgPS3pivwXIA==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-syntax-dynamic-import@^7.8.0":
   version "7.8.3"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-dynamic-import/-/plugin-syntax-dynamic-import-7.8.3.tgz#62bf98b2da3cd21d626154fc96ee5b3cb68eacb3"
+  resolved "https://registry.npmjs.org/@babel/plugin-syntax-dynamic-import/-/plugin-syntax-dynamic-import-7.8.3.tgz#62bf98b2da3cd21d626154fc96ee5b3cb68eacb3"
   integrity sha512-5gdGbFon+PszYzqs83S3E5mpi7/y/8M9eC90MRTZfduQOYW76ig6SOSPNe41IG5LoP3FGBn2N0RjVDSQiS94kQ==
   dependencies:
     "@babel/helper-plugin-utils" "^7.8.0"
 
 "@babel/plugin-syntax-export-namespace-from@^7.8.3":
   version "7.8.3"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-export-namespace-from/-/plugin-syntax-export-namespace-from-7.8.3.tgz#028964a9ba80dbc094c915c487ad7c4e7a66465a"
+  resolved "https://registry.npmjs.org/@babel/plugin-syntax-export-namespace-from/-/plugin-syntax-export-namespace-from-7.8.3.tgz#028964a9ba80dbc094c915c487ad7c4e7a66465a"
   integrity sha512-MXf5laXo6c1IbEbegDmzGPwGNTsHZmEy6QGznu5Sh2UCWvueywb2ee+CCE4zQiZstxU9BMoQO9i6zUFSY0Kj0Q==
   dependencies:
     "@babel/helper-plugin-utils" "^7.8.3"
 
 "@babel/plugin-syntax-json-strings@^7.8.0":
   version "7.8.3"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-json-strings/-/plugin-syntax-json-strings-7.8.3.tgz#01ca21b668cd8218c9e640cb6dd88c5412b2c96a"
+  resolved "https://registry.npmjs.org/@babel/plugin-syntax-json-strings/-/plugin-syntax-json-strings-7.8.3.tgz#01ca21b668cd8218c9e640cb6dd88c5412b2c96a"
   integrity sha512-lY6kdGpWHvjoe2vk4WrAapEuBR69EMxZl+RoGRhrFGNYVK8mOPAW8VfbT/ZgrFbXlDNiiaxQnAtgVCZ6jv30EA==
   dependencies:
     "@babel/helper-plugin-utils" "^7.8.0"
 
 "@babel/plugin-syntax-logical-assignment-operators@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-logical-assignment-operators/-/plugin-syntax-logical-assignment-operators-7.10.4.tgz#ca91ef46303530448b906652bac2e9fe9941f699"
+  resolved "https://registry.npmjs.org/@babel/plugin-syntax-logical-assignment-operators/-/plugin-syntax-logical-assignment-operators-7.10.4.tgz#ca91ef46303530448b906652bac2e9fe9941f699"
   integrity sha512-d8waShlpFDinQ5MtvGU9xDAOzKH47+FFoney2baFIoMr952hKOLp1HR7VszoZvOsV/4+RRszNY7D17ba0te0ig==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-syntax-nullish-coalescing-operator@^7.8.0":
   version "7.8.3"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-nullish-coalescing-operator/-/plugin-syntax-nullish-coalescing-operator-7.8.3.tgz#167ed70368886081f74b5c36c65a88c03b66d1a9"
+  resolved "https://registry.npmjs.org/@babel/plugin-syntax-nullish-coalescing-operator/-/plugin-syntax-nullish-coalescing-operator-7.8.3.tgz#167ed70368886081f74b5c36c65a88c03b66d1a9"
   integrity sha512-aSff4zPII1u2QD7y+F8oDsz19ew4IGEJg9SVW+bqwpwtfFleiQDMdzA/R+UlWDzfnHFCxxleFT0PMIrR36XLNQ==
   dependencies:
     "@babel/helper-plugin-utils" "^7.8.0"
 
 "@babel/plugin-syntax-numeric-separator@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-numeric-separator/-/plugin-syntax-numeric-separator-7.10.4.tgz#b9b070b3e33570cd9fd07ba7fa91c0dd37b9af97"
+  resolved "https://registry.npmjs.org/@babel/plugin-syntax-numeric-separator/-/plugin-syntax-numeric-separator-7.10.4.tgz#b9b070b3e33570cd9fd07ba7fa91c0dd37b9af97"
   integrity sha512-9H6YdfkcK/uOnY/K7/aA2xpzaAgkQn37yzWUMRK7OaPOqOpGS1+n0H5hxT9AUw9EsSjPW8SVyMJwYRtWs3X3ug==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-syntax-object-rest-spread@^7.8.0":
   version "7.8.3"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-object-rest-spread/-/plugin-syntax-object-rest-spread-7.8.3.tgz#60e225edcbd98a640332a2e72dd3e66f1af55871"
+  resolved "https://registry.npmjs.org/@babel/plugin-syntax-object-rest-spread/-/plugin-syntax-object-rest-spread-7.8.3.tgz#60e225edcbd98a640332a2e72dd3e66f1af55871"
   integrity sha512-XoqMijGZb9y3y2XskN+P1wUGiVwWZ5JmoDRwx5+3GmEplNyVM2s2Dg8ILFQm8rWM48orGy5YpI5Bl8U1y7ydlA==
   dependencies:
     "@babel/helper-plugin-utils" "^7.8.0"
 
 "@babel/plugin-syntax-optional-catch-binding@^7.8.0":
   version "7.8.3"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-optional-catch-binding/-/plugin-syntax-optional-catch-binding-7.8.3.tgz#6111a265bcfb020eb9efd0fdfd7d26402b9ed6c1"
+  resolved "https://registry.npmjs.org/@babel/plugin-syntax-optional-catch-binding/-/plugin-syntax-optional-catch-binding-7.8.3.tgz#6111a265bcfb020eb9efd0fdfd7d26402b9ed6c1"
   integrity sha512-6VPD0Pc1lpTqw0aKoeRTMiB+kWhAoT24PA+ksWSBrFtl5SIRVpZlwN3NNPQjehA2E/91FV3RjLWoVTglWcSV3Q==
   dependencies:
     "@babel/helper-plugin-utils" "^7.8.0"
 
 "@babel/plugin-syntax-optional-chaining@^7.8.0":
   version "7.8.3"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-optional-chaining/-/plugin-syntax-optional-chaining-7.8.3.tgz#4f69c2ab95167e0180cd5336613f8c5788f7d48a"
+  resolved "https://registry.npmjs.org/@babel/plugin-syntax-optional-chaining/-/plugin-syntax-optional-chaining-7.8.3.tgz#4f69c2ab95167e0180cd5336613f8c5788f7d48a"
   integrity sha512-KoK9ErH1MBlCPxV0VANkXW2/dw4vlbGDrFgz8bmUsBGYkFRcbRwMh6cIJubdPrkxRwuGdtCk0v/wPTKbQgBjkg==
   dependencies:
     "@babel/helper-plugin-utils" "^7.8.0"
 
 "@babel/plugin-syntax-top-level-await@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-top-level-await/-/plugin-syntax-top-level-await-7.10.4.tgz#4bbeb8917b54fcf768364e0a81f560e33a3ef57d"
+  resolved "https://registry.npmjs.org/@babel/plugin-syntax-top-level-await/-/plugin-syntax-top-level-await-7.10.4.tgz#4bbeb8917b54fcf768364e0a81f560e33a3ef57d"
   integrity sha512-ni1brg4lXEmWyafKr0ccFWkJG0CeMt4WV1oyeBW6EFObF4oOHclbkj5cARxAPQyAQ2UTuplJyK4nfkXIMMFvsQ==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-arrow-functions@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-arrow-functions/-/plugin-transform-arrow-functions-7.10.4.tgz#e22960d77e697c74f41c501d44d73dbf8a6a64cd"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-arrow-functions/-/plugin-transform-arrow-functions-7.10.4.tgz#e22960d77e697c74f41c501d44d73dbf8a6a64cd"
   integrity sha512-9J/oD1jV0ZCBcgnoFWFq1vJd4msoKb/TCpGNFyyLt0zABdcvgK3aYikZ8HjzB14c26bc7E3Q1yugpwGy2aTPNA==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-async-to-generator@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-async-to-generator/-/plugin-transform-async-to-generator-7.10.4.tgz#41a5017e49eb6f3cda9392a51eef29405b245a37"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-async-to-generator/-/plugin-transform-async-to-generator-7.10.4.tgz#41a5017e49eb6f3cda9392a51eef29405b245a37"
   integrity sha512-F6nREOan7J5UXTLsDsZG3DXmZSVofr2tGNwfdrVwkDWHfQckbQXnXSPfD7iO+c/2HGqycwyLST3DnZ16n+cBJQ==
   dependencies:
     "@babel/helper-module-imports" "^7.10.4"
@@ -470,21 +470,21 @@
 
 "@babel/plugin-transform-block-scoped-functions@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-block-scoped-functions/-/plugin-transform-block-scoped-functions-7.10.4.tgz#1afa595744f75e43a91af73b0d998ecfe4ebc2e8"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-block-scoped-functions/-/plugin-transform-block-scoped-functions-7.10.4.tgz#1afa595744f75e43a91af73b0d998ecfe4ebc2e8"
   integrity sha512-WzXDarQXYYfjaV1szJvN3AD7rZgZzC1JtjJZ8dMHUyiK8mxPRahynp14zzNjU3VkPqPsO38CzxiWO1c9ARZ8JA==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-block-scoping@^7.10.4":
   version "7.11.1"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-block-scoping/-/plugin-transform-block-scoping-7.11.1.tgz#5b7efe98852bef8d652c0b28144cd93a9e4b5215"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-block-scoping/-/plugin-transform-block-scoping-7.11.1.tgz#5b7efe98852bef8d652c0b28144cd93a9e4b5215"
   integrity sha512-00dYeDE0EVEHuuM+26+0w/SCL0BH2Qy7LwHuI4Hi4MH5gkC8/AqMN5uWFJIsoXZrAphiMm1iXzBw6L2T+eA0ew==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-classes@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-classes/-/plugin-transform-classes-7.10.4.tgz#405136af2b3e218bc4a1926228bc917ab1a0adc7"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-classes/-/plugin-transform-classes-7.10.4.tgz#405136af2b3e218bc4a1926228bc917ab1a0adc7"
   integrity sha512-2oZ9qLjt161dn1ZE0Ms66xBncQH4In8Sqw1YWgBUZuGVJJS5c0OFZXL6dP2MRHrkU/eKhWg8CzFJhRQl50rQxA==
   dependencies:
     "@babel/helper-annotate-as-pure" "^7.10.4"
@@ -498,21 +498,21 @@
 
 "@babel/plugin-transform-computed-properties@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-computed-properties/-/plugin-transform-computed-properties-7.10.4.tgz#9ded83a816e82ded28d52d4b4ecbdd810cdfc0eb"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-computed-properties/-/plugin-transform-computed-properties-7.10.4.tgz#9ded83a816e82ded28d52d4b4ecbdd810cdfc0eb"
   integrity sha512-JFwVDXcP/hM/TbyzGq3l/XWGut7p46Z3QvqFMXTfk6/09m7xZHJUN9xHfsv7vqqD4YnfI5ueYdSJtXqqBLyjBw==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-destructuring@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-destructuring/-/plugin-transform-destructuring-7.10.4.tgz#70ddd2b3d1bea83d01509e9bb25ddb3a74fc85e5"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-destructuring/-/plugin-transform-destructuring-7.10.4.tgz#70ddd2b3d1bea83d01509e9bb25ddb3a74fc85e5"
   integrity sha512-+WmfvyfsyF603iPa6825mq6Qrb7uLjTOsa3XOFzlYcYDHSS4QmpOWOL0NNBY5qMbvrcf3tq0Cw+v4lxswOBpgA==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-dotall-regex@^7.10.4", "@babel/plugin-transform-dotall-regex@^7.4.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-dotall-regex/-/plugin-transform-dotall-regex-7.10.4.tgz#469c2062105c1eb6a040eaf4fac4b488078395ee"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-dotall-regex/-/plugin-transform-dotall-regex-7.10.4.tgz#469c2062105c1eb6a040eaf4fac4b488078395ee"
   integrity sha512-ZEAVvUTCMlMFAbASYSVQoxIbHm2OkG2MseW6bV2JjIygOjdVv8tuxrCTzj1+Rynh7ODb8GivUy7dzEXzEhuPaA==
   dependencies:
     "@babel/helper-create-regexp-features-plugin" "^7.10.4"
@@ -520,14 +520,14 @@
 
 "@babel/plugin-transform-duplicate-keys@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-duplicate-keys/-/plugin-transform-duplicate-keys-7.10.4.tgz#697e50c9fee14380fe843d1f306b295617431e47"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-duplicate-keys/-/plugin-transform-duplicate-keys-7.10.4.tgz#697e50c9fee14380fe843d1f306b295617431e47"
   integrity sha512-GL0/fJnmgMclHiBTTWXNlYjYsA7rDrtsazHG6mglaGSTh0KsrW04qml+Bbz9FL0LcJIRwBWL5ZqlNHKTkU3xAA==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-exponentiation-operator@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-exponentiation-operator/-/plugin-transform-exponentiation-operator-7.10.4.tgz#5ae338c57f8cf4001bdb35607ae66b92d665af2e"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-exponentiation-operator/-/plugin-transform-exponentiation-operator-7.10.4.tgz#5ae338c57f8cf4001bdb35607ae66b92d665af2e"
   integrity sha512-S5HgLVgkBcRdyQAHbKj+7KyuWx8C6t5oETmUuwz1pt3WTWJhsUV0WIIXuVvfXMxl/QQyHKlSCNNtaIamG8fysw==
   dependencies:
     "@babel/helper-builder-binary-assignment-operator-visitor" "^7.10.4"
@@ -535,14 +535,14 @@
 
 "@babel/plugin-transform-for-of@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-for-of/-/plugin-transform-for-of-7.10.4.tgz#c08892e8819d3a5db29031b115af511dbbfebae9"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-for-of/-/plugin-transform-for-of-7.10.4.tgz#c08892e8819d3a5db29031b115af511dbbfebae9"
   integrity sha512-ItdQfAzu9AlEqmusA/65TqJ79eRcgGmpPPFvBnGILXZH975G0LNjP1yjHvGgfuCxqrPPueXOPe+FsvxmxKiHHQ==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-function-name@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-function-name/-/plugin-transform-function-name-7.10.4.tgz#6a467880e0fc9638514ba369111811ddbe2644b7"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-function-name/-/plugin-transform-function-name-7.10.4.tgz#6a467880e0fc9638514ba369111811ddbe2644b7"
   integrity sha512-OcDCq2y5+E0dVD5MagT5X+yTRbcvFjDI2ZVAottGH6tzqjx/LKpgkUepu3hp/u4tZBzxxpNGwLsAvGBvQ2mJzg==
   dependencies:
     "@babel/helper-function-name" "^7.10.4"
@@ -550,21 +550,21 @@
 
 "@babel/plugin-transform-literals@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-literals/-/plugin-transform-literals-7.10.4.tgz#9f42ba0841100a135f22712d0e391c462f571f3c"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-literals/-/plugin-transform-literals-7.10.4.tgz#9f42ba0841100a135f22712d0e391c462f571f3c"
   integrity sha512-Xd/dFSTEVuUWnyZiMu76/InZxLTYilOSr1UlHV+p115Z/Le2Fi1KXkJUYz0b42DfndostYlPub3m8ZTQlMaiqQ==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-member-expression-literals@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-member-expression-literals/-/plugin-transform-member-expression-literals-7.10.4.tgz#b1ec44fcf195afcb8db2c62cd8e551c881baf8b7"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-member-expression-literals/-/plugin-transform-member-expression-literals-7.10.4.tgz#b1ec44fcf195afcb8db2c62cd8e551c881baf8b7"
   integrity sha512-0bFOvPyAoTBhtcJLr9VcwZqKmSjFml1iVxvPL0ReomGU53CX53HsM4h2SzckNdkQcHox1bpAqzxBI1Y09LlBSw==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-modules-amd@^7.10.4":
   version "7.10.5"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-modules-amd/-/plugin-transform-modules-amd-7.10.5.tgz#1b9cddaf05d9e88b3aad339cb3e445c4f020a9b1"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-modules-amd/-/plugin-transform-modules-amd-7.10.5.tgz#1b9cddaf05d9e88b3aad339cb3e445c4f020a9b1"
   integrity sha512-elm5uruNio7CTLFItVC/rIzKLfQ17+fX7EVz5W0TMgIHFo1zY0Ozzx+lgwhL4plzl8OzVn6Qasx5DeEFyoNiRw==
   dependencies:
     "@babel/helper-module-transforms" "^7.10.5"
@@ -573,7 +573,7 @@
 
 "@babel/plugin-transform-modules-commonjs@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-modules-commonjs/-/plugin-transform-modules-commonjs-7.10.4.tgz#66667c3eeda1ebf7896d41f1f16b17105a2fbca0"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-modules-commonjs/-/plugin-transform-modules-commonjs-7.10.4.tgz#66667c3eeda1ebf7896d41f1f16b17105a2fbca0"
   integrity sha512-Xj7Uq5o80HDLlW64rVfDBhao6OX89HKUmb+9vWYaLXBZOma4gA6tw4Ni1O5qVDoZWUV0fxMYA0aYzOawz0l+1w==
   dependencies:
     "@babel/helper-module-transforms" "^7.10.4"
@@ -583,7 +583,7 @@
 
 "@babel/plugin-transform-modules-systemjs@^7.10.4":
   version "7.10.5"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-modules-systemjs/-/plugin-transform-modules-systemjs-7.10.5.tgz#6270099c854066681bae9e05f87e1b9cadbe8c85"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-modules-systemjs/-/plugin-transform-modules-systemjs-7.10.5.tgz#6270099c854066681bae9e05f87e1b9cadbe8c85"
   integrity sha512-f4RLO/OL14/FP1AEbcsWMzpbUz6tssRaeQg11RH1BP/XnPpRoVwgeYViMFacnkaw4k4wjRSjn3ip1Uw9TaXuMw==
   dependencies:
     "@babel/helper-hoist-variables" "^7.10.4"
@@ -593,7 +593,7 @@
 
 "@babel/plugin-transform-modules-umd@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-modules-umd/-/plugin-transform-modules-umd-7.10.4.tgz#9a8481fe81b824654b3a0b65da3df89f3d21839e"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-modules-umd/-/plugin-transform-modules-umd-7.10.4.tgz#9a8481fe81b824654b3a0b65da3df89f3d21839e"
   integrity sha512-mohW5q3uAEt8T45YT7Qc5ws6mWgJAaL/8BfWD9Dodo1A3RKWli8wTS+WiQ/knF+tXlPirW/1/MqzzGfCExKECA==
   dependencies:
     "@babel/helper-module-transforms" "^7.10.4"
@@ -601,21 +601,21 @@
 
 "@babel/plugin-transform-named-capturing-groups-regex@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-named-capturing-groups-regex/-/plugin-transform-named-capturing-groups-regex-7.10.4.tgz#78b4d978810b6f3bcf03f9e318f2fc0ed41aecb6"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-named-capturing-groups-regex/-/plugin-transform-named-capturing-groups-regex-7.10.4.tgz#78b4d978810b6f3bcf03f9e318f2fc0ed41aecb6"
   integrity sha512-V6LuOnD31kTkxQPhKiVYzYC/Jgdq53irJC/xBSmqcNcqFGV+PER4l6rU5SH2Vl7bH9mLDHcc0+l9HUOe4RNGKA==
   dependencies:
     "@babel/helper-create-regexp-features-plugin" "^7.10.4"
 
 "@babel/plugin-transform-new-target@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-new-target/-/plugin-transform-new-target-7.10.4.tgz#9097d753cb7b024cb7381a3b2e52e9513a9c6888"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-new-target/-/plugin-transform-new-target-7.10.4.tgz#9097d753cb7b024cb7381a3b2e52e9513a9c6888"
   integrity sha512-YXwWUDAH/J6dlfwqlWsztI2Puz1NtUAubXhOPLQ5gjR/qmQ5U96DY4FQO8At33JN4XPBhrjB8I4eMmLROjjLjw==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-object-super@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-object-super/-/plugin-transform-object-super-7.10.4.tgz#d7146c4d139433e7a6526f888c667e314a093894"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-object-super/-/plugin-transform-object-super-7.10.4.tgz#d7146c4d139433e7a6526f888c667e314a093894"
   integrity sha512-5iTw0JkdRdJvr7sY0vHqTpnruUpTea32JHmq/atIWqsnNussbRzjEDyWep8UNztt1B5IusBYg8Irb0bLbiEBCQ==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -623,7 +623,7 @@
 
 "@babel/plugin-transform-parameters@^7.10.4":
   version "7.10.5"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-parameters/-/plugin-transform-parameters-7.10.5.tgz#59d339d58d0b1950435f4043e74e2510005e2c4a"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-parameters/-/plugin-transform-parameters-7.10.5.tgz#59d339d58d0b1950435f4043e74e2510005e2c4a"
   integrity sha512-xPHwUj5RdFV8l1wuYiu5S9fqWGM2DrYc24TMvUiRrPVm+SM3XeqU9BcokQX/kEUe+p2RBwy+yoiR1w/Blq6ubw==
   dependencies:
     "@babel/helper-get-function-arity" "^7.10.4"
@@ -631,35 +631,35 @@
 
 "@babel/plugin-transform-property-literals@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-property-literals/-/plugin-transform-property-literals-7.10.4.tgz#f6fe54b6590352298785b83edd815d214c42e3c0"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-property-literals/-/plugin-transform-property-literals-7.10.4.tgz#f6fe54b6590352298785b83edd815d214c42e3c0"
   integrity sha512-ofsAcKiUxQ8TY4sScgsGeR2vJIsfrzqvFb9GvJ5UdXDzl+MyYCaBj/FGzXuv7qE0aJcjWMILny1epqelnFlz8g==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-regenerator@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-regenerator/-/plugin-transform-regenerator-7.10.4.tgz#2015e59d839074e76838de2159db421966fd8b63"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-regenerator/-/plugin-transform-regenerator-7.10.4.tgz#2015e59d839074e76838de2159db421966fd8b63"
   integrity sha512-3thAHwtor39A7C04XucbMg17RcZ3Qppfxr22wYzZNcVIkPHfpM9J0SO8zuCV6SZa265kxBJSrfKTvDCYqBFXGw==
   dependencies:
     regenerator-transform "^0.14.2"
 
 "@babel/plugin-transform-reserved-words@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-reserved-words/-/plugin-transform-reserved-words-7.10.4.tgz#8f2682bcdcef9ed327e1b0861585d7013f8a54dd"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-reserved-words/-/plugin-transform-reserved-words-7.10.4.tgz#8f2682bcdcef9ed327e1b0861585d7013f8a54dd"
   integrity sha512-hGsw1O6Rew1fkFbDImZIEqA8GoidwTAilwCyWqLBM9f+e/u/sQMQu7uX6dyokfOayRuuVfKOW4O7HvaBWM+JlQ==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-shorthand-properties@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-shorthand-properties/-/plugin-transform-shorthand-properties-7.10.4.tgz#9fd25ec5cdd555bb7f473e5e6ee1c971eede4dd6"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-shorthand-properties/-/plugin-transform-shorthand-properties-7.10.4.tgz#9fd25ec5cdd555bb7f473e5e6ee1c971eede4dd6"
   integrity sha512-AC2K/t7o07KeTIxMoHneyX90v3zkm5cjHJEokrPEAGEy3UCp8sLKfnfOIGdZ194fyN4wfX/zZUWT9trJZ0qc+Q==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-spread@^7.11.0":
   version "7.11.0"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-spread/-/plugin-transform-spread-7.11.0.tgz#fa84d300f5e4f57752fe41a6d1b3c554f13f17cc"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-spread/-/plugin-transform-spread-7.11.0.tgz#fa84d300f5e4f57752fe41a6d1b3c554f13f17cc"
   integrity sha512-UwQYGOqIdQJe4aWNyS7noqAnN2VbaczPLiEtln+zPowRNlD+79w3oi2TWfYe0eZgd+gjZCbsydN7lzWysDt+gw==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -667,7 +667,7 @@
 
 "@babel/plugin-transform-sticky-regex@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-sticky-regex/-/plugin-transform-sticky-regex-7.10.4.tgz#8f3889ee8657581130a29d9cc91d7c73b7c4a28d"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-sticky-regex/-/plugin-transform-sticky-regex-7.10.4.tgz#8f3889ee8657581130a29d9cc91d7c73b7c4a28d"
   integrity sha512-Ddy3QZfIbEV0VYcVtFDCjeE4xwVTJWTmUtorAJkn6u/92Z/nWJNV+mILyqHKrUxXYKA2EoCilgoPePymKL4DvQ==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
@@ -675,7 +675,7 @@
 
 "@babel/plugin-transform-template-literals@^7.10.4":
   version "7.10.5"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-template-literals/-/plugin-transform-template-literals-7.10.5.tgz#78bc5d626a6642db3312d9d0f001f5e7639fde8c"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-template-literals/-/plugin-transform-template-literals-7.10.5.tgz#78bc5d626a6642db3312d9d0f001f5e7639fde8c"
   integrity sha512-V/lnPGIb+KT12OQikDvgSuesRX14ck5FfJXt6+tXhdkJ+Vsd0lDCVtF6jcB4rNClYFzaB2jusZ+lNISDk2mMMw==
   dependencies:
     "@babel/helper-annotate-as-pure" "^7.10.4"
@@ -683,38 +683,38 @@
 
 "@babel/plugin-transform-typeof-symbol@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-typeof-symbol/-/plugin-transform-typeof-symbol-7.10.4.tgz#9509f1a7eec31c4edbffe137c16cc33ff0bc5bfc"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-typeof-symbol/-/plugin-transform-typeof-symbol-7.10.4.tgz#9509f1a7eec31c4edbffe137c16cc33ff0bc5bfc"
   integrity sha512-QqNgYwuuW0y0H+kUE/GWSR45t/ccRhe14Fs/4ZRouNNQsyd4o3PG4OtHiIrepbM2WKUBDAXKCAK/Lk4VhzTaGA==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-unicode-escapes@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-unicode-escapes/-/plugin-transform-unicode-escapes-7.10.4.tgz#feae523391c7651ddac115dae0a9d06857892007"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-unicode-escapes/-/plugin-transform-unicode-escapes-7.10.4.tgz#feae523391c7651ddac115dae0a9d06857892007"
   integrity sha512-y5XJ9waMti2J+e7ij20e+aH+fho7Wb7W8rNuu72aKRwCHFqQdhkdU2lo3uZ9tQuboEJcUFayXdARhcxLQ3+6Fg==
   dependencies:
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/plugin-transform-unicode-regex@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/plugin-transform-unicode-regex/-/plugin-transform-unicode-regex-7.10.4.tgz#e56d71f9282fac6db09c82742055576d5e6d80a8"
+  resolved "https://registry.npmjs.org/@babel/plugin-transform-unicode-regex/-/plugin-transform-unicode-regex-7.10.4.tgz#e56d71f9282fac6db09c82742055576d5e6d80a8"
   integrity sha512-wNfsc4s8N2qnIwpO/WP2ZiSyjfpTamT2C9V9FDH/Ljub9zw6P3SjkXcFmc0RQUt96k2fmIvtla2MMjgTwIAC+A==
   dependencies:
     "@babel/helper-create-regexp-features-plugin" "^7.10.4"
     "@babel/helper-plugin-utils" "^7.10.4"
 
 "@babel/polyfill@^7.10.4":
-  version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/polyfill/-/polyfill-7.10.4.tgz#915e5bfe61490ac0199008e35ca9d7d151a8e45a"
-  integrity sha512-8BYcnVqQ5kMD2HXoHInBH7H1b/uP3KdnwCYXOqFnXqguOyuu443WXusbIUbWEfY3Z0Txk0M1uG/8YuAMhNl6zg==
+  version "7.11.5"
+  resolved "https://registry.npmjs.org/@babel/polyfill/-/polyfill-7.11.5.tgz#df550b2ec53abbc2ed599367ec59e64c7a707bb5"
+  integrity sha512-FunXnE0Sgpd61pKSj2OSOs1D44rKTD3pGOfGilZ6LGrrIH0QEtJlTjqOqdF8Bs98JmjfGhni2BBkTfv9KcKJ9g==
   dependencies:
     core-js "^2.6.5"
     regenerator-runtime "^0.13.4"
 
 "@babel/preset-env@^7.11.0":
-  version "7.11.0"
-  resolved "https://registry.yarnpkg.com/@babel/preset-env/-/preset-env-7.11.0.tgz#860ee38f2ce17ad60480c2021ba9689393efb796"
-  integrity sha512-2u1/k7rG/gTh02dylX2kL3S0IJNF+J6bfDSp4DI2Ma8QN6Y9x9pmAax59fsCk6QUQG0yqH47yJWA+u1I1LccAg==
+  version "7.11.5"
+  resolved "https://registry.npmjs.org/@babel/preset-env/-/preset-env-7.11.5.tgz#18cb4b9379e3e92ffea92c07471a99a2914e4272"
+  integrity sha512-kXqmW1jVcnB2cdueV+fyBM8estd5mlNfaQi6lwLgRwCby4edpavgbFhiBNjmWA3JpB/yZGSISa7Srf+TwxDQoA==
   dependencies:
     "@babel/compat-data" "^7.11.0"
     "@babel/helper-compilation-targets" "^7.10.4"
@@ -778,7 +778,7 @@
     "@babel/plugin-transform-unicode-escapes" "^7.10.4"
     "@babel/plugin-transform-unicode-regex" "^7.10.4"
     "@babel/preset-modules" "^0.1.3"
-    "@babel/types" "^7.11.0"
+    "@babel/types" "^7.11.5"
     browserslist "^4.12.0"
     core-js-compat "^3.6.2"
     invariant "^2.2.2"
@@ -786,9 +786,9 @@
     semver "^5.5.0"
 
 "@babel/preset-modules@^0.1.3":
-  version "0.1.3"
-  resolved "https://registry.yarnpkg.com/@babel/preset-modules/-/preset-modules-0.1.3.tgz#13242b53b5ef8c883c3cf7dddd55b36ce80fbc72"
-  integrity sha512-Ra3JXOHBq2xd56xSF7lMKXdjBn3T772Y1Wet3yWnkDly9zHvJki029tAFzvAAK5cf4YV3yoxuP61crYRol6SVg==
+  version "0.1.4"
+  resolved "https://registry.npmjs.org/@babel/preset-modules/-/preset-modules-0.1.4.tgz#362f2b68c662842970fdb5e254ffc8fc1c2e415e"
+  integrity sha512-J36NhwnfdzpmH41M1DrnkkgAqhZaqr/NBdPfQ677mLzlaXo+oDiv1deyCDtgAhz8p328otdob0Du7+xgHGZbKg==
   dependencies:
     "@babel/helper-plugin-utils" "^7.0.0"
     "@babel/plugin-proposal-unicode-property-regex" "^7.4.4"
@@ -798,39 +798,39 @@
 
 "@babel/runtime@^7.8.4":
   version "7.11.2"
-  resolved "https://registry.yarnpkg.com/@babel/runtime/-/runtime-7.11.2.tgz#f549c13c754cc40b87644b9fa9f09a6a95fe0736"
+  resolved "https://registry.npmjs.org/@babel/runtime/-/runtime-7.11.2.tgz#f549c13c754cc40b87644b9fa9f09a6a95fe0736"
   integrity sha512-TeWkU52so0mPtDcaCTxNBI/IHiz0pZgr8VEFqXFtZWpYD08ZB6FaSwVAS8MKRQAP3bYKiVjwysOJgMFY28o6Tw==
   dependencies:
     regenerator-runtime "^0.13.4"
 
 "@babel/template@^7.10.4":
   version "7.10.4"
-  resolved "https://registry.yarnpkg.com/@babel/template/-/template-7.10.4.tgz#3251996c4200ebc71d1a8fc405fba940f36ba278"
+  resolved "https://registry.npmjs.org/@babel/template/-/template-7.10.4.tgz#3251996c4200ebc71d1a8fc405fba940f36ba278"
   integrity sha512-ZCjD27cGJFUB6nmCB1Enki3r+L5kJveX9pq1SvAUKoICy6CZ9yD8xO086YXdYhvNjBdnekm4ZnaP5yC8Cs/1tA==
   dependencies:
     "@babel/code-frame" "^7.10.4"
     "@babel/parser" "^7.10.4"
     "@babel/types" "^7.10.4"
 
-"@babel/traverse@^7.10.4", "@babel/traverse@^7.11.0":
-  version "7.11.0"
-  resolved "https://registry.yarnpkg.com/@babel/traverse/-/traverse-7.11.0.tgz#9b996ce1b98f53f7c3e4175115605d56ed07dd24"
-  integrity sha512-ZB2V+LskoWKNpMq6E5UUCrjtDUh5IOTAyIl0dTjIEoXum/iKWkoIEKIRDnUucO6f+2FzNkE0oD4RLKoPIufDtg==
+"@babel/traverse@^7.10.4", "@babel/traverse@^7.11.5":
+  version "7.11.5"
+  resolved "https://registry.npmjs.org/@babel/traverse/-/traverse-7.11.5.tgz#be777b93b518eb6d76ee2e1ea1d143daa11e61c3"
+  integrity sha512-EjiPXt+r7LiCZXEfRpSJd+jUMnBd4/9OUv7Nx3+0u9+eimMwJmG0Q98lw4/289JCoxSE8OolDMNZaaF/JZ69WQ==
   dependencies:
     "@babel/code-frame" "^7.10.4"
-    "@babel/generator" "^7.11.0"
+    "@babel/generator" "^7.11.5"
     "@babel/helper-function-name" "^7.10.4"
     "@babel/helper-split-export-declaration" "^7.11.0"
-    "@babel/parser" "^7.11.0"
-    "@babel/types" "^7.11.0"
+    "@babel/parser" "^7.11.5"
+    "@babel/types" "^7.11.5"
     debug "^4.1.0"
     globals "^11.1.0"
     lodash "^4.17.19"
 
-"@babel/types@^7.10.4", "@babel/types@^7.10.5", "@babel/types@^7.11.0", "@babel/types@^7.4.4":
-  version "7.11.0"
-  resolved "https://registry.yarnpkg.com/@babel/types/-/types-7.11.0.tgz#2ae6bf1ba9ae8c3c43824e5861269871b206e90d"
-  integrity sha512-O53yME4ZZI0jO1EVGtF1ePGl0LHirG4P1ibcD80XyzZcKhcMFeCXmh4Xb1ifGBIV233Qg12x4rBfQgA+tmOukA==
+"@babel/types@^7.10.4", "@babel/types@^7.10.5", "@babel/types@^7.11.0", "@babel/types@^7.11.5", "@babel/types@^7.4.4":
+  version "7.11.5"
+  resolved "https://registry.npmjs.org/@babel/types/-/types-7.11.5.tgz#d9de577d01252d77c6800cee039ee64faf75662d"
+  integrity sha512-bvM7Qz6eKnJVFIn+1LPtjlBFPVN5jNDc1XmN15vWe7Q3DPBufWWsLiIvUu7xW87uTG6QoggpIDnUgLQvPheU+Q==
   dependencies:
     "@babel/helper-validator-identifier" "^7.10.4"
     lodash "^4.17.19"
@@ -870,7 +870,7 @@
 
 "@types/color-name@^1.1.1":
   version "1.1.1"
-  resolved "https://registry.yarnpkg.com/@types/color-name/-/color-name-1.1.1.tgz#1c1261bbeaa10a8055bbc5d8ab84b7b2afc846a0"
+  resolved "https://registry.npmjs.org/@types/color-name/-/color-name-1.1.1.tgz#1c1261bbeaa10a8055bbc5d8ab84b7b2afc846a0"
   integrity sha512-rr+OQyAjxze7GgWrSaJwydHStIhHq2lvY3BOC2Mj7KnzI7XK0Uw1TOOdI9lDoajEbSWLiYgoo4f1R51erQfhPQ==
 
 "@types/detect-browser@^4.0.0":
@@ -901,9 +901,9 @@
     form-data "^3.0.0"
 
 "@types/node@*":
-  version "14.0.26"
-  resolved "https://registry.npmjs.org/@types/node/-/node-14.0.26.tgz#22a3b8a46510da8944b67bfc27df02c34a35331c"
-  integrity sha512-W+fpe5s91FBGE0pEa0lnqGLL4USgpLgs4nokw16SrBBco/gQxuua7KnArSEOd5iaMqbbSHV10vUDkJYJJqpXKA==
+  version "14.6.4"
+  resolved "https://registry.npmjs.org/@types/node/-/node-14.6.4.tgz#a145cc0bb14ef9c4777361b7bbafa5cf8e3acb5a"
+  integrity sha512-Wk7nG1JSaMfMpoMJDKUsWYugliB2Vy55pdjLpmLixeyMi7HizW2I/9QoxsPCkXl3dO+ZOVqPumKaDUv5zJu2uQ==
 
 "@types/offscreencanvas@~2019.3.0":
   version "2019.3.0"
@@ -950,7 +950,7 @@ acorn-walk@^6.1.1:
 
 acorn-walk@^7.2.0:
   version "7.2.0"
-  resolved "https://registry.yarnpkg.com/acorn-walk/-/acorn-walk-7.2.0.tgz#0de889a601203909b0fbe07b8938dc21d2e967bc"
+  resolved "https://registry.npmjs.org/acorn-walk/-/acorn-walk-7.2.0.tgz#0de889a601203909b0fbe07b8938dc21d2e967bc"
   integrity sha512-OPdCF6GsMIP+Az+aWfAAOEt2/+iVDKE7oy6lJ098aoe59oAmK76qV6Gw60SbZ8jHuG2wH058GF4pLFbYamYrVA==
 
 acorn@^6.0.5:
@@ -975,10 +975,10 @@ agent-base@^4.3.0:
   dependencies:
     es6-promisify "^5.0.0"
 
-ajv@^6.5.5:
-  version "6.12.3"
-  resolved "https://registry.npmjs.org/ajv/-/ajv-6.12.3.tgz#18c5af38a111ddeb4f2697bd78d68abc1cabd706"
-  integrity sha512-4K0cK3L1hsqk9xIb2z9vs/XU+PGJZ9PNpJRDS9YLzmNdX6jmVPfamLvTJr0aDAusnHyCHO6MjzlkAsgtqp9teA==
+ajv@^6.12.3:
+  version "6.12.4"
+  resolved "https://registry.npmjs.org/ajv/-/ajv-6.12.4.tgz#0614facc4522127fa713445c6bfd3ebd376e2234"
+  integrity sha512-eienB2c9qVQs2KWexhkrdMLVDoIQCz5KSeLxwg9Lzk4DOfBtIK9PQwwufcsn1jjGuf9WZmqPMbGxOzfcuphJCQ==
   dependencies:
     fast-deep-equal "^3.1.1"
     fast-json-stable-stringify "^2.0.0"
@@ -1016,7 +1016,7 @@ ansi-styles@^3.2.1:
 
 ansi-styles@^4.1.0:
   version "4.2.1"
-  resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-4.2.1.tgz#90ae75c424d008d2624c5bf29ead3177ebfcf359"
+  resolved "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.2.1.tgz#90ae75c424d008d2624c5bf29ead3177ebfcf359"
   integrity sha512-9VGjrMsG1vePxcSweQsN20KY/c4zN0h9fLjqAbwbPfahM3t+NL+M9HC8xeXG2I8pX5NoamTGNuomEUFI7fcUjA==
   dependencies:
     "@types/color-name" "^1.1.1"
@@ -1060,7 +1060,7 @@ arg@^4.1.0:
 
 argparse@^1.0.10, argparse@^1.0.7:
   version "1.0.10"
-  resolved "https://registry.yarnpkg.com/argparse/-/argparse-1.0.10.tgz#bcd6791ea5ae09725e17e5ad988134cd40b3d911"
+  resolved "https://registry.npmjs.org/argparse/-/argparse-1.0.10.tgz#bcd6791ea5ae09725e17e5ad988134cd40b3d911"
   integrity sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg==
   dependencies:
     sprintf-js "~1.0.2"
@@ -1090,14 +1090,15 @@ arraybuffer.slice@~0.0.7:
   resolved "https://registry.npmjs.org/arraybuffer.slice/-/arraybuffer.slice-0.0.7.tgz#3bbc4275dd584cc1b10809b89d4e8b63a69e7675"
   integrity sha512-wGUIVQXuehL5TCqQun8OW81jGzAWycqzFF8lFp+GOM5BXLYj3bKNsYC4daB7n6XjCqxQA/qgTJ+8ANR3acjrog==
 
-asn1.js@^4.0.0:
-  version "4.10.1"
-  resolved "https://registry.npmjs.org/asn1.js/-/asn1.js-4.10.1.tgz#b9c2bf5805f1e64aadeed6df3a2bfafb5a73f5a0"
-  integrity sha512-p32cOF5q0Zqs9uBiONKYLm6BClCoBCM5O9JfeUSlnQLBTxYdTK+pW+nXflm8UkKd2UYlEbYz5qEi0JuZR9ckSw==
+asn1.js@^5.2.0:
+  version "5.4.1"
+  resolved "https://registry.npmjs.org/asn1.js/-/asn1.js-5.4.1.tgz#11a980b84ebb91781ce35b0fdc2ee294e3783f07"
+  integrity sha512-+I//4cYPccV8LdmBLiX8CYvf9Sp3vQsrqu2QNXRcrbiWvcx/UdlFiqUJJzxRQxgsZmvhXhn4cSKeSmoFjVdupA==
   dependencies:
     bn.js "^4.0.0"
     inherits "^2.0.1"
     minimalistic-assert "^1.0.0"
+    safer-buffer "^2.1.0"
 
 asn1@~0.2.3:
   version "0.2.4"
@@ -1166,13 +1167,13 @@ aws-sign2@~0.7.0:
   integrity sha1-tG6JCTSpWR8tL2+G1+ap8bP+dqg=
 
 aws4@^1.8.0:
-  version "1.10.0"
-  resolved "https://registry.npmjs.org/aws4/-/aws4-1.10.0.tgz#a17b3a8ea811060e74d47d306122400ad4497ae2"
-  integrity sha512-3YDiu347mtVtjpyV3u5kVqQLP242c06zwDOgpeRnybmXlYYsLbtTrUBUm8i8srONt+FWobl5aibnU1030PeeuA==
+  version "1.10.1"
+  resolved "https://registry.npmjs.org/aws4/-/aws4-1.10.1.tgz#e1e82e4f3e999e2cfd61b161280d16a111f86428"
+  integrity sha512-zg7Hz2k5lI8kb7U32998pRRFin7zJlkfezGJjUc2heaD4Pw2wObakCDVzkKztTm/Ln7eiVvYsjqak0Ed4LkMDA==
 
 babel-plugin-dynamic-import-node@^2.3.3:
   version "2.3.3"
-  resolved "https://registry.yarnpkg.com/babel-plugin-dynamic-import-node/-/babel-plugin-dynamic-import-node-2.3.3.tgz#84fda19c976ec5c6defef57f9427b3def66e17a3"
+  resolved "https://registry.npmjs.org/babel-plugin-dynamic-import-node/-/babel-plugin-dynamic-import-node-2.3.3.tgz#84fda19c976ec5c6defef57f9427b3def66e17a3"
   integrity sha512-jZVI+s9Zg3IqA/kdi0i6UDCybUI3aSBLnglhYbSSjKlV7yF1F/5LWv8MakQmvYpnbJDS6fcBL2KzHSxNCMtWSQ==
   dependencies:
     object.assign "^4.1.0"
@@ -1255,9 +1256,9 @@ bn.js@^4.0.0, bn.js@^4.1.0, bn.js@^4.4.0:
   integrity sha512-E6QoYqCKZfgatHTdHzs1RRKP7ip4vvm+EyRUeE2RF0NblwVvb0p6jSVeNTOFxPn26QXN2o6SMfNxKp6kU8zQaw==
 
 bn.js@^5.1.1:
-  version "5.1.2"
-  resolved "https://registry.npmjs.org/bn.js/-/bn.js-5.1.2.tgz#c9686902d3c9a27729f43ab10f9d79c2004da7b0"
-  integrity sha512-40rZaf3bUNKTVYu9sIeeEGOg7g14Yvnj9kH7b50EiwX0Q7A6umbvfI5tvHaOERH0XigqKkfLkFQxzb4e6CIXnA==
+  version "5.1.3"
+  resolved "https://registry.npmjs.org/bn.js/-/bn.js-5.1.3.tgz#beca005408f642ebebea80b042b4d18d2ac0ee6b"
+  integrity sha512-GkTiFpjFtUzU9CbMeJ5iazkCzGL3jrhzerzZIuqLABjbwRaFt33I9tUdSNryIptM+RxDet6OKm2WnLXzW51KsQ==
 
 body-parser@^1.16.1:
   version "1.19.0"
@@ -1342,15 +1343,15 @@ browserify-rsa@^4.0.0, browserify-rsa@^4.0.1:
     randombytes "^2.0.1"
 
 browserify-sign@^4.0.0:
-  version "4.2.0"
-  resolved "https://registry.npmjs.org/browserify-sign/-/browserify-sign-4.2.0.tgz#545d0b1b07e6b2c99211082bf1b12cce7a0b0e11"
-  integrity sha512-hEZC1KEeYuoHRqhGhTy6gWrpJA3ZDjFWv0DE61643ZnOXAKJb3u7yWcrU0mMc9SwAqK1n7myPGndkp0dFG7NFA==
+  version "4.2.1"
+  resolved "https://registry.npmjs.org/browserify-sign/-/browserify-sign-4.2.1.tgz#eaf4add46dd54be3bb3b36c0cf15abbeba7956c3"
+  integrity sha512-/vrA5fguVAKKAVTNJjgSm1tRQDHUU6DbwO9IROu/0WAzC8PKhucDSh18J0RMvVeHAn5puMd+QHC2erPRNf8lmg==
   dependencies:
     bn.js "^5.1.1"
     browserify-rsa "^4.0.1"
     create-hash "^1.2.0"
     create-hmac "^1.1.7"
-    elliptic "^6.5.2"
+    elliptic "^6.5.3"
     inherits "^2.0.4"
     parse-asn1 "^5.1.5"
     readable-stream "^3.6.0"
@@ -1364,12 +1365,12 @@ browserify-zlib@^0.2.0:
     pako "~1.0.5"
 
 browserslist@^4.12.0, browserslist@^4.8.5:
-  version "4.14.0"
-  resolved "https://registry.yarnpkg.com/browserslist/-/browserslist-4.14.0.tgz#2908951abfe4ec98737b72f34c3bcedc8d43b000"
-  integrity sha512-pUsXKAF2lVwhmtpeA3LJrZ76jXuusrNyhduuQs7CDFf9foT4Y38aQOserd2lMe5DSSrjf3fx34oHwryuvxAUgQ==
+  version "4.14.1"
+  resolved "https://registry.npmjs.org/browserslist/-/browserslist-4.14.1.tgz#cb2b490ba881d45dc3039078c7ed04411eaf3fa3"
+  integrity sha512-zyBTIHydW37pnb63c7fHFXUG6EcqWOqoMdDx6cdyaDFriZ20EoVxcE95S54N+heRqY8m8IUgB5zYta/gCwSaaA==
   dependencies:
-    caniuse-lite "^1.0.30001111"
-    electron-to-chromium "^1.3.523"
+    caniuse-lite "^1.0.30001124"
+    electron-to-chromium "^1.3.562"
     escalade "^3.0.2"
     node-releases "^1.1.60"
 
@@ -1467,10 +1468,10 @@ camelcase@^2.0.0:
   resolved "https://registry.npmjs.org/camelcase/-/camelcase-2.1.1.tgz#7c1d16d679a1bbe59ca02cacecfb011e201f5a1f"
   integrity sha1-fB0W1nmhu+WcoCys7PsBHiAfWh8=
 
-caniuse-lite@^1.0.30001111:
-  version "1.0.30001118"
-  resolved "https://registry.yarnpkg.com/caniuse-lite/-/caniuse-lite-1.0.30001118.tgz#116a9a670e5264aec895207f5e918129174c6f62"
-  integrity sha512-RNKPLojZo74a0cP7jFMidQI7nvLER40HgNfgKQEJ2PFm225L0ectUungNQoK3Xk3StQcFbpBPNEvoWD59436Hg==
+caniuse-lite@^1.0.30001124:
+  version "1.0.30001124"
+  resolved "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001124.tgz#5d9998190258e11630d674fc50ea8e579ae0ced2"
+  integrity sha512-zQW8V3CdND7GHRH6rxm6s59Ww4g/qGWTheoboW9nfeMg7sUoopIfKCcNZUjwYRCOrvereh3kwDpZj4VLQ7zGtA==
 
 caseless@~0.12.0:
   version "0.12.0"
@@ -1495,16 +1496,16 @@ chalk@^2.0.0, chalk@^2.3.0:
 
 chalk@^4.1.0:
   version "4.1.0"
-  resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.0.tgz#4e14870a618d9e2edd97dd8345fd9d9dc315646a"
+  resolved "https://registry.npmjs.org/chalk/-/chalk-4.1.0.tgz#4e14870a618d9e2edd97dd8345fd9d9dc315646a"
   integrity sha512-qwx12AxXe2Q5xQ43Ac//I6v5aXTipYrSESdOgzrN+9XjgEpyjpKuvSGaN4qE93f7TQTlerQQ8S+EQ0EyDoVL1A==
   dependencies:
     ansi-styles "^4.1.0"
     supports-color "^7.1.0"
 
 chokidar@^3.0.0:
-  version "3.4.1"
-  resolved "https://registry.npmjs.org/chokidar/-/chokidar-3.4.1.tgz#e905bdecf10eaa0a0b1db0c664481cc4cbc22ba1"
-  integrity sha512-TQTJyr2stihpC4Sya9hs2Xh+O2wf+igjL36Y75xx2WdHuiICcn/XJza46Jwt0eT5hVpQOzo3FpY3cj3RVYLX0g==
+  version "3.4.2"
+  resolved "https://registry.npmjs.org/chokidar/-/chokidar-3.4.2.tgz#38dc8e658dec3809741eb3ef7bb0a47fe424232d"
+  integrity sha512-IZHaDeBeI+sZJRX7lGcXsdzgvZqKv6sECqsbErJA4mHWfpRrD8B97kSFN4cQz6nGBGiuFia1MKR4d6c1o8Cv7A==
   dependencies:
     anymatch "~3.1.1"
     braces "~3.0.2"
@@ -1557,7 +1558,7 @@ color-convert@^1.9.0:
 
 color-convert@^2.0.1:
   version "2.0.1"
-  resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-2.0.1.tgz#72d3a68d598c9bdb3af2ad1e84f21d896abd4de3"
+  resolved "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz#72d3a68d598c9bdb3af2ad1e84f21d896abd4de3"
   integrity sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==
   dependencies:
     color-name "~1.1.4"
@@ -1569,7 +1570,7 @@ color-name@1.1.3:
 
 color-name@~1.1.4:
   version "1.1.4"
-  resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
+  resolved "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
   integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
 
 colors@^1.1.0:
@@ -1673,7 +1674,7 @@ cookie@0.3.1:
 
 core-js-compat@^3.6.2:
   version "3.6.5"
-  resolved "https://registry.yarnpkg.com/core-js-compat/-/core-js-compat-3.6.5.tgz#2a51d9a4e25dfd6e690251aa81f99e3c05481f1c"
+  resolved "https://registry.npmjs.org/core-js-compat/-/core-js-compat-3.6.5.tgz#2a51d9a4e25dfd6e690251aa81f99e3c05481f1c"
   integrity sha512-7ItTKOhOZbznhXAQ2g/slGg1PJV5zDO/WdkTwi7UEOJmkvsE32PWvx6mKtDjiMpjnR2CNf6BAD6sSxIlv7ptng==
   dependencies:
     browserslist "^4.8.5"
@@ -1686,7 +1687,7 @@ core-js@3, core-js@^3.1.3:
 
 core-js@^2.6.5:
   version "2.6.11"
-  resolved "https://registry.yarnpkg.com/core-js/-/core-js-2.6.11.tgz#38831469f9922bded8ee21c9dc46985e0399308c"
+  resolved "https://registry.npmjs.org/core-js/-/core-js-2.6.11.tgz#38831469f9922bded8ee21c9dc46985e0399308c"
   integrity sha512-5wjnpaT/3dV+XB4borEsnAYQchn00XSgTAWKDkEqv+K8KevjbzmofK6hfJ9TZIlpj2N0xQpazy7PiRQiWHqzWg==
 
 core-util-is@1.0.2, core-util-is@~1.0.0:
@@ -1695,12 +1696,12 @@ core-util-is@1.0.2, core-util-is@~1.0.0:
   integrity sha1-tf1UIgqivFq1eqtxQMlAdUUDwac=
 
 create-ecdh@^4.0.0:
-  version "4.0.3"
-  resolved "https://registry.npmjs.org/create-ecdh/-/create-ecdh-4.0.3.tgz#c9111b6f33045c4697f144787f9254cdc77c45ff"
-  integrity sha512-GbEHQPMOswGpKXM9kCWVrremUcBmjteUaQ01T9rkKCPDXfUHX0IoP9LpHYo2NPFampa4e+/pFDc3jQdxrxQLaw==
+  version "4.0.4"
+  resolved "https://registry.npmjs.org/create-ecdh/-/create-ecdh-4.0.4.tgz#d6e7f4bffa66736085a0762fd3a632684dabcc4e"
+  integrity sha512-mf+TCx8wWc9VpuxfP2ht0iSISLZnt0JgWlrOKZiNqyUZWnjIaCIVNQArMHnCZKfEYRg6IM7A+NeJoN8gf/Ws0A==
   dependencies:
     bn.js "^4.1.0"
-    elliptic "^6.0.0"
+    elliptic "^6.5.3"
 
 create-hash@^1.1.0, create-hash@^1.1.2, create-hash@^1.2.0:
   version "1.2.0"
@@ -1768,7 +1769,7 @@ date-format@^2.0.0, date-format@^2.1.0:
 
 date-format@^3.0.0:
   version "3.0.0"
-  resolved "https://registry.yarnpkg.com/date-format/-/date-format-3.0.0.tgz#eb8780365c7d2b1511078fb491e6479780f3ad95"
+  resolved "https://registry.npmjs.org/date-format/-/date-format-3.0.0.tgz#eb8780365c7d2b1511078fb491e6479780f3ad95"
   integrity sha512-eyTcpKOcamdhWJXj56DpQMo1ylSQpcGtGKXcU0Tb97+K56/CF5amAqqqNj0+KvA0iw2ynxtHWFsPDSClCxe48w==
 
 dateformat@^1.0.6:
@@ -1933,12 +1934,12 @@ ee-first@1.1.1:
   resolved "https://registry.npmjs.org/ee-first/-/ee-first-1.1.1.tgz#590c61156b0ae2f4f0255732a158b266bc56b21d"
   integrity sha1-WQxhFWsK4vTwJVcyoViyZrxWsh0=
 
-electron-to-chromium@^1.3.523:
-  version "1.3.550"
-  resolved "https://registry.yarnpkg.com/electron-to-chromium/-/electron-to-chromium-1.3.550.tgz#bf9bbb78182aac0fe2d23d3bd1483dde4483f512"
-  integrity sha512-MWDHoJsSieBaJ6mObvi3V0eKZufR1iMJl56VIGdXCgFHyCUbVDGm2IMXUNjDxgbGbKa3tA5+zJmHuBQqRxGiLA==
+electron-to-chromium@^1.3.562:
+  version "1.3.564"
+  resolved "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.3.564.tgz#e9c319ae437b3eb8bbf3e3bae4bead5a21945961"
+  integrity sha512-fNaYN3EtKQWLQsrKXui8mzcryJXuA0LbCLoizeX6oayG2emBaS5MauKjCPAvc29NEY4FpLHIUWiP+Y0Bfrs5dg==
 
-elliptic@^6.0.0, elliptic@^6.5.2:
+elliptic@^6.5.3:
   version "6.5.3"
   resolved "https://registry.npmjs.org/elliptic/-/elliptic-6.5.3.tgz#cb59eb2efdaf73a0bd78ccd7015a62ad6e0f93d6"
   integrity sha512-IMqzv5wNQf+E6aHeIqATs0tOLeOTwj1QKbRcS3jBbYkl5oLAserA8yJTT7/VyHUYG91PRmPyeQDObKLPpeS4dw==
@@ -2053,7 +2054,7 @@ es6-promisify@^5.0.0:
 
 escalade@^3.0.2:
   version "3.0.2"
-  resolved "https://registry.yarnpkg.com/escalade/-/escalade-3.0.2.tgz#6a580d70edb87880f22b4c91d0d56078df6962c4"
+  resolved "https://registry.npmjs.org/escalade/-/escalade-3.0.2.tgz#6a580d70edb87880f22b4c91d0d56078df6962c4"
   integrity sha512-gPYAU37hYCUhW5euPeR+Y74F7BL+IBsV93j5cvGriSaD1aG6MGsqsV1yamRdrWrb2j3aiZvb0X+UBOWpx3JWtQ==
 
 escape-html@~1.0.3:
@@ -2104,9 +2105,9 @@ esutils@^2.0.2:
   integrity sha512-kVscqXk4OCp68SZ0dkgEKVi6/8ij300KBWTJq32P/dYeWTSwK41WyTxalN1eRmA5Z9UU/LX9D7FWSmV9SAYx6g==
 
 eventemitter3@^4.0.0:
-  version "4.0.4"
-  resolved "https://registry.npmjs.org/eventemitter3/-/eventemitter3-4.0.4.tgz#b5463ace635a083d018bdc7c917b4c5f10a85384"
-  integrity sha512-rlaVLnVxtxvoyLsQQFBx53YmXHDxRIzzTLbdfxqi4yocpSjAxXwkU0cScM5JgSKMqEhrZpnvQ2D9gjylR0AimQ==
+  version "4.0.7"
+  resolved "https://registry.npmjs.org/eventemitter3/-/eventemitter3-4.0.7.tgz#2de9b68f6528d5644ef5c59526a1b4a07306169f"
+  integrity sha512-8guHBZCwKnFhYdHr2ysuRWErTwhoN2X8XELRlrRwpmfeY2jjuUN4taQMsULKUVo1K4DvZl+0pgfyoysHxvmvEw==
 
 events@^3.0.0:
   version "3.2.0"
@@ -2193,9 +2194,9 @@ flatted@^2.0.0, flatted@^2.0.1:
   integrity sha512-r5wGx7YeOwNWNlCA0wQ86zKyDLMQr+/RB8xy74M4hTphfmjlijTSSXGuH8rnvKZnfT9i+75zmd8jcKdMR4O6jA==
 
 follow-redirects@^1.0.0:
-  version "1.12.1"
-  resolved "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.12.1.tgz#de54a6205311b93d60398ebc01cf7015682312b6"
-  integrity sha512-tmRv0AVuR7ZyouUHLeNSiO6pqulF7dYa3s19c6t+wz9LD69/uSzdMxJ2S91nTI9U3rt/IldxpzMOFejp6f0hjg==
+  version "1.13.0"
+  resolved "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.13.0.tgz#b42e8d93a2a7eea5ed88633676d6597bc8e384db"
+  integrity sha512-aq6gF1BEKje4a9i9+5jimNFIpq4Q1WiwBToeRK5NvZBd/TRsmW8BsJfOEGkr76TbOyPVD3OVDN910EcUNtRYEA==
 
 foreach@^2.0.5:
   version "2.0.5"
@@ -2248,7 +2249,7 @@ fs-extra@^7.0.1:
 
 fs-extra@^8.1.0:
   version "8.1.0"
-  resolved "https://registry.yarnpkg.com/fs-extra/-/fs-extra-8.1.0.tgz#49d43c45a88cd9677668cb7be1b46efdb8d2e1c0"
+  resolved "https://registry.npmjs.org/fs-extra/-/fs-extra-8.1.0.tgz#49d43c45a88cd9677668cb7be1b46efdb8d2e1c0"
   integrity sha512-yhlQgA6mnOJUKOsRUFsgJdQCvkKhcz8tlZG5HBQfReYZy46OwLcY+Zia0mtdHsOo9y/hP+CxMN0TU9QxoOtG4g==
   dependencies:
     graceful-fs "^4.2.0"
@@ -2303,7 +2304,7 @@ gauge@~2.7.3:
 
 gensync@^1.0.0-beta.1:
   version "1.0.0-beta.1"
-  resolved "https://registry.yarnpkg.com/gensync/-/gensync-1.0.0-beta.1.tgz#58f4361ff987e5ff6e1e7a210827aa371eaac269"
+  resolved "https://registry.npmjs.org/gensync/-/gensync-1.0.0-beta.1.tgz#58f4361ff987e5ff6e1e7a210827aa371eaac269"
   integrity sha512-r8EC6NO1sngH/zdD9fiRDLdcgnbayXah+mLgManTaIZJqEC1MZstmnox8KpnI2/fxQwrp5OpCOYWLp4rBl4Jcg==
 
 get-stdin@^4.0.1:
@@ -2350,13 +2351,13 @@ glob@^7.0.0, glob@^7.0.6, glob@^7.1.1, glob@^7.1.3:
 
 globals@^11.1.0:
   version "11.12.0"
-  resolved "https://registry.yarnpkg.com/globals/-/globals-11.12.0.tgz#ab8795338868a0babd8525758018c2a7eb95c42e"
+  resolved "https://registry.npmjs.org/globals/-/globals-11.12.0.tgz#ab8795338868a0babd8525758018c2a7eb95c42e"
   integrity sha512-WOBp/EEGUiIsJSp7wcv/y6MO+lV9UoncWqxuFfm8eBwzWNgyfBd6Gz+IeKQ9jCmyhoH99g15M3T+QaVHFjizVA==
 
 google-protobuf@^3.9.2:
-  version "3.12.2"
-  resolved "https://registry.npmjs.org/google-protobuf/-/google-protobuf-3.12.2.tgz#50ce9f9b6281235724eb243d6a83e969a2176e53"
-  integrity sha512-4CZhpuRr1d6HjlyrxoXoocoGFnRYgKULgMtikMddA9ztRyYR59Aondv2FioyxWVamRo0rF2XpYawkTCBEQOSkA==
+  version "3.13.0"
+  resolved "https://registry.npmjs.org/google-protobuf/-/google-protobuf-3.13.0.tgz#909c5983d75dd6101ed57c79e0528d000cdc3251"
+  integrity sha512-ZIf3qfLFayVrPvAjeKKxO5FRF1/NwRxt6Dko+fWEMuHwHbZx8/fcaAao9b0wCM6kr8qeg2te8XTpyuvKuD9aKw==
 
 graceful-fs@^4.1.2, graceful-fs@^4.1.6, graceful-fs@^4.2.0:
   version "4.2.4"
@@ -2381,11 +2382,11 @@ har-schema@^2.0.0:
   integrity sha1-qUwiJOvKwEeCoNkDVSHyRzW37JI=
 
 har-validator@~5.1.3:
-  version "5.1.3"
-  resolved "https://registry.npmjs.org/har-validator/-/har-validator-5.1.3.tgz#1ef89ebd3e4996557675eed9893110dc350fa080"
-  integrity sha512-sNvOCzEQNr/qrvJgc3UG/kD4QtlHycrzwS+6mfTrrSq97BvaYcPZZI1ZSqGSPR73Cxn4LKTD4PttRwfU7jWq5g==
+  version "5.1.5"
+  resolved "https://registry.npmjs.org/har-validator/-/har-validator-5.1.5.tgz#1f0803b9f8cb20c0fa13822df1ecddb36bde1efd"
+  integrity sha512-nmT2T0lljbxdQZfspsno9hgrG3Uir6Ks5afism62poxqBM6sDnMEuPmzTq8XN0OEwqKLLdh1jQI3qyE66Nzb3w==
   dependencies:
-    ajv "^6.5.5"
+    ajv "^6.12.3"
     har-schema "^2.0.0"
 
 has-binary2@~1.0.2:
@@ -2412,7 +2413,7 @@ has-flag@^3.0.0:
 
 has-flag@^4.0.0:
   version "4.0.0"
-  resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-4.0.0.tgz#944771fd9c81c81265c4d6941860da06bb59479b"
+  resolved "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz#944771fd9c81c81265c4d6941860da06bb59479b"
   integrity sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==
 
 has-symbols@^1.0.0, has-symbols@^1.0.1:
@@ -2568,7 +2569,7 @@ inline-source-map@~0.6.0:
 
 invariant@^2.2.2, invariant@^2.2.4:
   version "2.2.4"
-  resolved "https://registry.yarnpkg.com/invariant/-/invariant-2.2.4.tgz#610f3c92c9359ce1db616e538008d23ff35158e6"
+  resolved "https://registry.npmjs.org/invariant/-/invariant-2.2.4.tgz#610f3c92c9359ce1db616e538008d23ff35158e6"
   integrity sha512-phJfQVBuaJM5raOpJjSfkiD6BpbCE4Ns//LaXl6wGYtUBY83nWS6Rf9tXm2e8VaK60JEjYldbPif/A2B1C2gNA==
   dependencies:
     loose-envify "^1.0.0"
@@ -2661,9 +2662,9 @@ is-plain-object@^2.0.4:
     isobject "^3.0.1"
 
 is-regex@^1.1.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/is-regex/-/is-regex-1.1.0.tgz#ece38e389e490df0dc21caea2bd596f987f767ff"
-  integrity sha512-iI97M8KTWID2la5uYXlkbSDQIg4F6o1sYboZKKTDpnDQMLtUL86zxhgDet3Q2SriaYsyGqZ6Mn2SjbRKeLHdqw==
+  version "1.1.1"
+  resolved "https://registry.npmjs.org/is-regex/-/is-regex-1.1.1.tgz#c6f98aacc546f6cec5468a07b7b153ab564a57b9"
+  integrity sha512-1+QkEcxiLlB7VEyFtyBg94e08OAsvq7FUBgApTq/w2ymCLyKJgDPsybBENVtA7XCQEgEXxKPonG+mvYRxh/LIg==
   dependencies:
     has-symbols "^1.0.1"
 
@@ -2784,12 +2785,12 @@ jsbn@~0.1.0:
 
 jsesc@^2.5.1:
   version "2.5.2"
-  resolved "https://registry.yarnpkg.com/jsesc/-/jsesc-2.5.2.tgz#80564d2e483dacf6e8ef209650a67df3f0c283a4"
+  resolved "https://registry.npmjs.org/jsesc/-/jsesc-2.5.2.tgz#80564d2e483dacf6e8ef209650a67df3f0c283a4"
   integrity sha512-OYu7XEzjkCQ3C5Ps3QIZsQfNpqoJyZZA99wd9aWd05NCtC5pWOkShK2mkL6HXQR6/Cy2lbNdPlZBpuQHXE63gA==
 
 jsesc@~0.5.0:
   version "0.5.0"
-  resolved "https://registry.yarnpkg.com/jsesc/-/jsesc-0.5.0.tgz#e7dee66e35d6fc16f710fe91d5cf69f70f08911d"
+  resolved "https://registry.npmjs.org/jsesc/-/jsesc-0.5.0.tgz#e7dee66e35d6fc16f710fe91d5cf69f70f08911d"
   integrity sha1-597mbjXW/Bb3EP6R1c9p9w8IkR0=
 
 json-schema-traverse@^0.4.1:
@@ -2809,7 +2810,7 @@ json-stringify-safe@^5.0.1, json-stringify-safe@~5.0.1:
 
 json5@^2.1.2:
   version "2.1.3"
-  resolved "https://registry.yarnpkg.com/json5/-/json5-2.1.3.tgz#c9b0f7fa9233bfe5807fe66fcf3a5617ed597d43"
+  resolved "https://registry.npmjs.org/json5/-/json5-2.1.3.tgz#c9b0f7fa9233bfe5807fe66fcf3a5617ed597d43"
   integrity sha512-KXPvOm8K9IJKFM0bmdn8QXh7udDh1g/giieX0NLCaMnb4hEiVFqnop2ImTXCc5e0/oHz3LTqmHGtExn5hfMkOA==
   dependencies:
     minimist "^1.2.5"
@@ -2866,7 +2867,7 @@ karma-jasmine@~1.1.0:
 
 karma-typescript-es6-transform@^5.1.0:
   version "5.1.0"
-  resolved "https://registry.yarnpkg.com/karma-typescript-es6-transform/-/karma-typescript-es6-transform-5.1.0.tgz#8e22349f45c6308598c2447c5ca911ce9d9577d1"
+  resolved "https://registry.npmjs.org/karma-typescript-es6-transform/-/karma-typescript-es6-transform-5.1.0.tgz#8e22349f45c6308598c2447c5ca911ce9d9577d1"
   integrity sha512-ReniuuReJ6J+ul4ewndMjB3CKOET1a+b8ta7XI4yvGLFjyo2wLJZ+eM/cWrQqnO7aKenLchYJ1B71XM5pF1a8g==
   dependencies:
     "@babel/core" "^7.11.1"
@@ -2957,12 +2958,12 @@ karma@~4.2.0:
 
 leven@^3.1.0:
   version "3.1.0"
-  resolved "https://registry.yarnpkg.com/leven/-/leven-3.1.0.tgz#77891de834064cccba82ae7842bb6b14a13ed7f2"
+  resolved "https://registry.npmjs.org/leven/-/leven-3.1.0.tgz#77891de834064cccba82ae7842bb6b14a13ed7f2"
   integrity sha512-qsda+H8jTaUaN/x5vzW2rzc+8Rw4TAQ/4KjB46IwK5VH+IlVeeeje/EoZRpiXvIqjFgK84QffqPztGI3VBLG1A==
 
 levenary@^1.1.1:
   version "1.1.1"
-  resolved "https://registry.yarnpkg.com/levenary/-/levenary-1.1.1.tgz#842a9ee98d2075aa7faeedbe32679e9205f46f77"
+  resolved "https://registry.npmjs.org/levenary/-/levenary-1.1.1.tgz#842a9ee98d2075aa7faeedbe32679e9205f46f77"
   integrity sha512-mkAdOIt79FD6irqjYSs4rdbnlT5vRonMEvBVPVb3XmevfS8kgRXwfes0dhPdEtzTWD/1eNE/Bm/G1iRt6DcnQQ==
   dependencies:
     leven "^3.1.0"
@@ -2996,14 +2997,9 @@ lodash.memoize@~3.0.3:
   resolved "https://registry.npmjs.org/lodash.memoize/-/lodash.memoize-3.0.4.tgz#2dcbd2c287cbc0a55cc42328bd0c736150d53e3f"
   integrity sha1-LcvSwofLwKVcxCMovQxzYVDVPj8=
 
-lodash@^4.17.0, lodash@^4.17.11, lodash@^4.17.14:
-  version "4.17.19"
-  resolved "https://registry.npmjs.org/lodash/-/lodash-4.17.19.tgz#e48ddedbe30b3321783c5b4301fbd353bc1e4a4b"
-  integrity sha512-JNvd8XER9GQX0v2qJgsaN/mzFCNA5BRe/j8JN9d+tWyGLSodKQHKFicdwNYzWwI3wjRnaKPsGj1XkBjx/F96DQ==
-
-lodash@^4.17.19:
+lodash@^4.17.0, lodash@^4.17.11, lodash@^4.17.14, lodash@^4.17.19:
   version "4.17.20"
-  resolved "https://registry.yarnpkg.com/lodash/-/lodash-4.17.20.tgz#b44a9b6297bcb698f1c51a3545a2b3b368d59c52"
+  resolved "https://registry.npmjs.org/lodash/-/lodash-4.17.20.tgz#b44a9b6297bcb698f1c51a3545a2b3b368d59c52"
   integrity sha512-PlhdFcillOINfeV7Ni6oF1TAEayyZBoZ8bcshTHqOYJYlrqzRK5hagpagky5o4HfCzzd1TRkXPMFq6cKk9rGmA==
 
 log4js@^4.0.0, log4js@^4.0.1:
@@ -3019,7 +3015,7 @@ log4js@^4.0.0, log4js@^4.0.1:
 
 log4js@^6.3.0:
   version "6.3.0"
-  resolved "https://registry.yarnpkg.com/log4js/-/log4js-6.3.0.tgz#10dfafbb434351a3e30277a00b9879446f715bcb"
+  resolved "https://registry.npmjs.org/log4js/-/log4js-6.3.0.tgz#10dfafbb434351a3e30277a00b9879446f715bcb"
   integrity sha512-Mc8jNuSFImQUIateBFwdOQcmC6Q5maU0VVvdC2R6XMb66/VnT+7WS4D/0EeNMZu1YODmJe5NIn2XftCzEocUgw==
   dependencies:
     date-format "^3.0.0"
@@ -3030,7 +3026,7 @@ log4js@^6.3.0:
 
 loose-envify@^1.0.0:
   version "1.4.0"
-  resolved "https://registry.yarnpkg.com/loose-envify/-/loose-envify-1.4.0.tgz#71ee51fa7be4caec1a63839f7e682d8132d30caf"
+  resolved "https://registry.npmjs.org/loose-envify/-/loose-envify-1.4.0.tgz#71ee51fa7be4caec1a63839f7e682d8132d30caf"
   integrity sha512-lyuxPGr/Wfhrlem2CL/UcnUc1zcqKAImBDzukY7Y5F/yQiNdko6+fRLevlw1HgMySw7f611UIY408EtxRSoK3Q==
   dependencies:
     js-tokens "^3.0.0 || ^4.0.0"
@@ -3053,7 +3049,7 @@ lru-cache@4.1.x:
 
 magic-string@^0.25.7:
   version "0.25.7"
-  resolved "https://registry.yarnpkg.com/magic-string/-/magic-string-0.25.7.tgz#3f497d6fd34c669c6798dcb821f2ef31f5445051"
+  resolved "https://registry.npmjs.org/magic-string/-/magic-string-0.25.7.tgz#3f497d6fd34c669c6798dcb821f2ef31f5445051"
   integrity sha512-4CrMT5DOHTDk4HYDlzmwu4FVCcIYI8gauveasrdCu2IKIFOJ3f0v/8MDGJCDL9oD2ppz/Av1b0Nj345H9M+XIA==
   dependencies:
     sourcemap-codec "^1.4.4"
@@ -3197,9 +3193,9 @@ ms@^2.1.1:
   integrity sha512-sGkPx+VjMtmA6MX27oA4FBFELFCZZ4S4XqeGOXCv68tT+jb3vk/RyaKWP0PTKyWtmLSM0b+adUTEvbs1PEaH2w==
 
 needle@^2.2.1:
-  version "2.5.0"
-  resolved "https://registry.npmjs.org/needle/-/needle-2.5.0.tgz#e6fc4b3cc6c25caed7554bd613a5cf0bac8c31c0"
-  integrity sha512-o/qITSDR0JCyCKEQ1/1bnUXMmznxabbwi/Y4WwJElf+evwJNFNwIDMCCt5IigFVxgeGBJESLohGtIS9gEzo1fA==
+  version "2.5.2"
+  resolved "https://registry.npmjs.org/needle/-/needle-2.5.2.tgz#cf1a8fce382b5a280108bba90a14993c00e4010a"
+  integrity sha512-LbRIwS9BfkPvNwNHlsA41Q29kL2L/6VaOJ0qisM5lLWsTV3nP15abO5ITL6L81zqFhzjRKDAYjpcBcwM0AVvLQ==
   dependencies:
     debug "^3.2.6"
     iconv-lite "^0.4.4"
@@ -3238,7 +3234,7 @@ node-pre-gyp@0.14.0:
 
 node-releases@^1.1.60:
   version "1.1.60"
-  resolved "https://registry.yarnpkg.com/node-releases/-/node-releases-1.1.60.tgz#6948bdfce8286f0b5d0e5a88e8384e954dfe7084"
+  resolved "https://registry.npmjs.org/node-releases/-/node-releases-1.1.60.tgz#6948bdfce8286f0b5d0e5a88e8384e954dfe7084"
   integrity sha512-gsO4vjEdQaTusZAEebUWp2a5d7dF5DYoIpDG7WySnk7BuZDW+GPpHXoXXuYawRBr/9t5q54tirPz79kFIWg4dA==
 
 nopt@3.x:
@@ -3425,13 +3421,12 @@ pako@~1.0.5:
   integrity sha512-4hLB8Py4zZce5s4yd9XzopqwVv/yGNhV1Bl8NTmCq1763HeK2+EwVTv+leGeL13Dnh2wfbqowVPXCIO0z4taYw==
 
 parse-asn1@^5.0.0, parse-asn1@^5.1.5:
-  version "5.1.5"
-  resolved "https://registry.npmjs.org/parse-asn1/-/parse-asn1-5.1.5.tgz#003271343da58dc94cace494faef3d2147ecea0e"
-  integrity sha512-jkMYn1dcJqF6d5CpU689bq7w/b5ALS9ROVSpQDPrZsqqesUJii9qutvoT5ltGedNXMO2e16YUWIghG9KxaViTQ==
+  version "5.1.6"
+  resolved "https://registry.npmjs.org/parse-asn1/-/parse-asn1-5.1.6.tgz#385080a3ec13cb62a62d39409cb3e88844cdaed4"
+  integrity sha512-RnZRo1EPU6JBnra2vGHj0yhp6ebyjBZpmUCLHWiFhxlzvBCCpAuZ7elsBp1PVAbQN0/04VD/19rfzlBSwLstMw==
   dependencies:
-    asn1.js "^4.0.0"
+    asn1.js "^5.2.0"
     browserify-aes "^1.0.0"
-    create-hash "^1.1.0"
     evp_bytestokey "^1.0.0"
     pbkdf2 "^3.0.3"
     safe-buffer "^5.1.1"
@@ -3719,14 +3714,14 @@ redent@^1.0.0:
 
 regenerate-unicode-properties@^8.2.0:
   version "8.2.0"
-  resolved "https://registry.yarnpkg.com/regenerate-unicode-properties/-/regenerate-unicode-properties-8.2.0.tgz#e5de7111d655e7ba60c057dbe9ff37c87e65cdec"
+  resolved "https://registry.npmjs.org/regenerate-unicode-properties/-/regenerate-unicode-properties-8.2.0.tgz#e5de7111d655e7ba60c057dbe9ff37c87e65cdec"
   integrity sha512-F9DjY1vKLo/tPePDycuH3dn9H1OTPIkVD9Kz4LODu+F2C75mgjAJ7x/gwy6ZcSNRAAkhNlJSOHRe8k3p+K9WhA==
   dependencies:
     regenerate "^1.4.0"
 
 regenerate@^1.4.0:
   version "1.4.1"
-  resolved "https://registry.yarnpkg.com/regenerate/-/regenerate-1.4.1.tgz#cad92ad8e6b591773485fbe05a485caf4f457e6f"
+  resolved "https://registry.npmjs.org/regenerate/-/regenerate-1.4.1.tgz#cad92ad8e6b591773485fbe05a485caf4f457e6f"
   integrity sha512-j2+C8+NtXQgEKWk49MMP5P/u2GhnahTtVkRIHr5R5lVRlbKvmQ+oS+A5aLKWp2ma5VkT8sh6v+v4hbH0YHR66A==
 
 regenerator-runtime@^0.13.4, regenerator-runtime@^0.13.5:
@@ -3736,14 +3731,14 @@ regenerator-runtime@^0.13.4, regenerator-runtime@^0.13.5:
 
 regenerator-transform@^0.14.2:
   version "0.14.5"
-  resolved "https://registry.yarnpkg.com/regenerator-transform/-/regenerator-transform-0.14.5.tgz#c98da154683671c9c4dcb16ece736517e1b7feb4"
+  resolved "https://registry.npmjs.org/regenerator-transform/-/regenerator-transform-0.14.5.tgz#c98da154683671c9c4dcb16ece736517e1b7feb4"
   integrity sha512-eOf6vka5IO151Jfsw2NO9WpGX58W6wWmefK3I1zEGr0lOD0u8rwPaNqQL1aRxUaxLeKO3ArNh3VYg1KbaD+FFw==
   dependencies:
     "@babel/runtime" "^7.8.4"
 
 regexpu-core@^4.7.0:
   version "4.7.0"
-  resolved "https://registry.yarnpkg.com/regexpu-core/-/regexpu-core-4.7.0.tgz#fcbf458c50431b0bb7b45d6967b8192d91f3d938"
+  resolved "https://registry.npmjs.org/regexpu-core/-/regexpu-core-4.7.0.tgz#fcbf458c50431b0bb7b45d6967b8192d91f3d938"
   integrity sha512-TQ4KXRnIn6tz6tjnrXEkD/sshygKH/j5KzK86X8MkeHyZ8qst/LZ89j3X4/8HEIfHANTFIP/AbXakeRhWIl5YQ==
   dependencies:
     regenerate "^1.4.0"
@@ -3755,12 +3750,12 @@ regexpu-core@^4.7.0:
 
 regjsgen@^0.5.1:
   version "0.5.2"
-  resolved "https://registry.yarnpkg.com/regjsgen/-/regjsgen-0.5.2.tgz#92ff295fb1deecbf6ecdab2543d207e91aa33733"
+  resolved "https://registry.npmjs.org/regjsgen/-/regjsgen-0.5.2.tgz#92ff295fb1deecbf6ecdab2543d207e91aa33733"
   integrity sha512-OFFT3MfrH90xIW8OOSyUrk6QHD5E9JOTeGodiJeBS3J6IwlgzJMNE/1bZklWz5oTg+9dCMyEetclvCVXOPoN3A==
 
 regjsparser@^0.6.4:
   version "0.6.4"
-  resolved "https://registry.yarnpkg.com/regjsparser/-/regjsparser-0.6.4.tgz#a769f8684308401a66e9b529d2436ff4d0666272"
+  resolved "https://registry.npmjs.org/regjsparser/-/regjsparser-0.6.4.tgz#a769f8684308401a66e9b529d2436ff4d0666272"
   integrity sha512-64O87/dPDgfk8/RQqC4gkZoGyyWFIEUTTh80CU6CWuK5vkCGyekIx+oKcEIYtP/RAxSQltCZHCNu/mdd7fqlJw==
   dependencies:
     jsesc "~0.5.0"
@@ -3883,7 +3878,7 @@ seedrandom@2.4.3:
 
 semver@7.0.0:
   version "7.0.0"
-  resolved "https://registry.yarnpkg.com/semver/-/semver-7.0.0.tgz#5f3ca35761e47e05b206c6daff2cf814f0316b8e"
+  resolved "https://registry.npmjs.org/semver/-/semver-7.0.0.tgz#5f3ca35761e47e05b206c6daff2cf814f0316b8e"
   integrity sha512-+GB6zVA9LWh6zovYQLALHwv5rb2PHGlJi3lfiqIHxR0uuwCgefcOJc59v9fv1w8GbStwxuuqqAjI9NMAOOgq1A==
 
 set-blocking@~2.0.0:
@@ -3992,7 +3987,7 @@ source-map@~0.2.0:
 
 sourcemap-codec@^1.4.4:
   version "1.4.8"
-  resolved "https://registry.yarnpkg.com/sourcemap-codec/-/sourcemap-codec-1.4.8.tgz#ea804bd94857402e6992d05a38ef1ae35a9ab4c4"
+  resolved "https://registry.npmjs.org/sourcemap-codec/-/sourcemap-codec-1.4.8.tgz#ea804bd94857402e6992d05a38ef1ae35a9ab4c4"
   integrity sha512-9NykojV5Uih4lgo5So5dtw+f0JgJX30KCNI8gwhz2J9A15wD0Ml6tjHKwf6fTSa6fAdVBdZeNOs9eJ71qCk8vA==
 
 spdx-correct@^3.0.0:
@@ -4077,7 +4072,7 @@ streamroller@^1.0.6:
 
 streamroller@^2.2.4:
   version "2.2.4"
-  resolved "https://registry.yarnpkg.com/streamroller/-/streamroller-2.2.4.tgz#c198ced42db94086a6193608187ce80a5f2b0e53"
+  resolved "https://registry.npmjs.org/streamroller/-/streamroller-2.2.4.tgz#c198ced42db94086a6193608187ce80a5f2b0e53"
   integrity sha512-OG79qm3AujAM9ImoqgWEY1xG4HX+Lw+yY6qZj9R1K2mhF5bEmQ849wvrb+4vt4jLMLzwXttJlQbOdPOQVRv7DQ==
   dependencies:
     date-format "^2.1.0"
@@ -4179,9 +4174,9 @@ supports-color@^5.3.0:
     has-flag "^3.0.0"
 
 supports-color@^7.1.0:
-  version "7.1.0"
-  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-7.1.0.tgz#68e32591df73e25ad1c4b49108a2ec507962bfd1"
-  integrity sha512-oRSIpR8pxT1Wr2FquTNnGet79b3BWljqOuoW/h4oBhxJ/HUbX5nX6JSruTkvXDCFMwDPvsaTTbvMLKZWSy0R5g==
+  version "7.2.0"
+  resolved "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz#1b7dcdcb32b8138801b3e478ba6a51caa89648da"
+  integrity sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==
   dependencies:
     has-flag "^4.0.0"
 
@@ -4247,7 +4242,7 @@ to-array@0.1.4:
 
 to-fast-properties@^2.0.0:
   version "2.0.0"
-  resolved "https://registry.yarnpkg.com/to-fast-properties/-/to-fast-properties-2.0.0.tgz#dc5e698cbd079265bc73e0377681a4e4e83f616e"
+  resolved "https://registry.npmjs.org/to-fast-properties/-/to-fast-properties-2.0.0.tgz#dc5e698cbd079265bc73e0377681a4e4e83f616e"
   integrity sha1-3F5pjL0HkmW8c+A3doGk5Og/YW4=
 
 to-regex-range@^5.0.1:
@@ -4397,9 +4392,9 @@ typescript@3.5.3:
   integrity sha512-ACzBtm/PhXBDId6a6sDJfroT2pOWt/oOnk4/dElG5G33ZL776N3Y6/6bKZJBFpd+b05F3Ct9qDjMeJmRWtE2/g==
 
 uglify-js@^3.1.4:
-  version "3.10.0"
-  resolved "https://registry.npmjs.org/uglify-js/-/uglify-js-3.10.0.tgz#397a7e6e31ce820bfd1cb55b804ee140c587a9e7"
-  integrity sha512-Esj5HG5WAyrLIdYU74Z3JdG2PxdIusvj6IWHMtlyESxc7kcDz7zYlYjpnSokn1UbpV0d/QX9fan7gkCNd/9BQA==
+  version "3.10.4"
+  resolved "https://registry.npmjs.org/uglify-js/-/uglify-js-3.10.4.tgz#dd680f5687bc0d7a93b14a3482d16db6eba2bfbb"
+  integrity sha512-kBFT3U4Dcj4/pJ52vfjCSfyLyvG9VYYuGYPmrPvAxRw/i7xHiT4VvCev+uiEMcEEiu6UNB6KgWmGtSUYIWScbw==
 
 ultron@~1.1.0:
   version "1.1.1"
@@ -4408,12 +4403,12 @@ ultron@~1.1.0:
 
 unicode-canonical-property-names-ecmascript@^1.0.4:
   version "1.0.4"
-  resolved "https://registry.yarnpkg.com/unicode-canonical-property-names-ecmascript/-/unicode-canonical-property-names-ecmascript-1.0.4.tgz#2619800c4c825800efdd8343af7dd9933cbe2818"
+  resolved "https://registry.npmjs.org/unicode-canonical-property-names-ecmascript/-/unicode-canonical-property-names-ecmascript-1.0.4.tgz#2619800c4c825800efdd8343af7dd9933cbe2818"
   integrity sha512-jDrNnXWHd4oHiTZnx/ZG7gtUTVp+gCcTTKr8L0HjlwphROEW3+Him+IpvC+xcJEFegapiMZyZe02CyuOnRmbnQ==
 
 unicode-match-property-ecmascript@^1.0.4:
   version "1.0.4"
-  resolved "https://registry.yarnpkg.com/unicode-match-property-ecmascript/-/unicode-match-property-ecmascript-1.0.4.tgz#8ed2a32569961bce9227d09cd3ffbb8fed5f020c"
+  resolved "https://registry.npmjs.org/unicode-match-property-ecmascript/-/unicode-match-property-ecmascript-1.0.4.tgz#8ed2a32569961bce9227d09cd3ffbb8fed5f020c"
   integrity sha512-L4Qoh15vTfntsn4P1zqnHulG0LdXgjSO035fEpdtp6YxXhMT51Q6vgM5lYdG/5X3MjS+k/Y9Xw4SFCY9IkR0rg==
   dependencies:
     unicode-canonical-property-names-ecmascript "^1.0.4"
@@ -4421,12 +4416,12 @@ unicode-match-property-ecmascript@^1.0.4:
 
 unicode-match-property-value-ecmascript@^1.2.0:
   version "1.2.0"
-  resolved "https://registry.yarnpkg.com/unicode-match-property-value-ecmascript/-/unicode-match-property-value-ecmascript-1.2.0.tgz#0d91f600eeeb3096aa962b1d6fc88876e64ea531"
+  resolved "https://registry.npmjs.org/unicode-match-property-value-ecmascript/-/unicode-match-property-value-ecmascript-1.2.0.tgz#0d91f600eeeb3096aa962b1d6fc88876e64ea531"
   integrity sha512-wjuQHGQVofmSJv1uVISKLE5zO2rNGzM/KCYZch/QQvez7C1hUhBIuZ701fYXExuufJFMPhv2SyL8CyoIfMLbIQ==
 
 unicode-property-aliases-ecmascript@^1.0.4:
   version "1.1.0"
-  resolved "https://registry.yarnpkg.com/unicode-property-aliases-ecmascript/-/unicode-property-aliases-ecmascript-1.1.0.tgz#dd57a99f6207bedff4628abefb94c50db941c8f4"
+  resolved "https://registry.npmjs.org/unicode-property-aliases-ecmascript/-/unicode-property-aliases-ecmascript-1.1.0.tgz#dd57a99f6207bedff4628abefb94c50db941c8f4"
   integrity sha512-PqSoPh/pWetQ2phoj5RLiaqIk4kCNwoV3CI+LfGmWLKI3rE3kl1h59XpX2BjgDrmbxD9ARtQobPGU1SguCYuQg==
 
 universalify@^0.1.0:
@@ -4455,9 +4450,9 @@ unzipper@^0.9.3:
     setimmediate "~1.0.4"
 
 uri-js@^4.2.2:
-  version "4.2.2"
-  resolved "https://registry.npmjs.org/uri-js/-/uri-js-4.2.2.tgz#94c540e1ff772956e2299507c010aea6c8838eb0"
-  integrity sha512-KY9Frmirql91X2Qgjry0Wd4Y+YTdrdZheS8TFwvkbLWf/G5KNJDCh6pKL5OZctEW4+0Baa5idK2ZQuELRwPznQ==
+  version "4.4.0"
+  resolved "https://registry.npmjs.org/uri-js/-/uri-js-4.4.0.tgz#aa714261de793e8a82347a7bcc9ce74e86f28602"
+  integrity sha512-B0yRTzYdUCCn9n+F4+Gh4yIDtMQcaJsmYBDsTSG8g/OejKBodLQ2IHfN3bM7jUsRXndopT7OIXWdYqc1fjmV6g==
   dependencies:
     punycode "^2.1.0"
 
diff --git a/tfjs-backend-cpu/src/backend_cpu.ts b/tfjs-backend-cpu/src/backend_cpu.ts
index b80f7b9abe9..e0736c021bb 100644
--- a/tfjs-backend-cpu/src/backend_cpu.ts
+++ b/tfjs-backend-cpu/src/backend_cpu.ts
@@ -52,10 +52,8 @@ export interface TensorData<D extends DataType> {
   dtype: D;
   // For complex numbers, the real and imaginary parts are stored as their own
   // individual tensors, with a parent joining the two with the
-  // complexTensors field.
-  // TODO(smilkov): Replace Tensor with TensorInfo when you modularize ops
-  // that work with complex tensors.
-  complexTensors?: {real: Tensor, imag: Tensor};
+  // complexTensorInfos field.
+  complexTensorInfos?: {real: TensorInfo, imag: TensorInfo};
   // refCount keeps track of how many tensors reference it. Used for memory
   // management.
   refCount: number;
@@ -97,6 +95,20 @@ export class MathBackendCPU extends KernelBackend {
     return dataId;
   }
 
+  /**
+   * Create a data bucket in cpu backend.
+   * @param shape Shape of the `TensorInfo`.
+   * @param dtype DType of the `TensorInfo`.
+   * @param values The value of the `TensorInfo` stored as a flattened array.
+   */
+  makeTensorInfo(
+      shape: number[], dtype: DataType,
+      values?: backend_util.BackendValues): TensorInfo {
+    const outId = this.write(values, shape, dtype);
+
+    return {dataId: outId, shape, dtype};
+  }
+
   /** Increase refCount of a `TensorData`. */
   incRef(dataId: DataId): void {
     const tensorData = this.data.get(dataId);
@@ -125,14 +137,16 @@ export class MathBackendCPU extends KernelBackend {
     return this.readSync(dataId);
   }
   readSync(dataId: DataId): backend_util.BackendValues {
-    const {dtype, complexTensors} = this.data.get(dataId);
+    const {dtype, complexTensorInfos} = this.data.get(dataId);
+
     if (dtype === 'complex64') {
       const realValues =
-          this.readSync(complexTensors.real.dataId) as Float32Array;
+          this.readSync(complexTensorInfos.real.dataId) as Float32Array;
       const imagValues =
-          this.readSync(complexTensors.imag.dataId) as Float32Array;
+          this.readSync(complexTensorInfos.imag.dataId) as Float32Array;
       return backend_util.mergeRealAndImagArrays(realValues, imagValues);
     }
+
     return this.data.get(dataId).values;
   }
 
@@ -158,11 +172,13 @@ export class MathBackendCPU extends KernelBackend {
 
   disposeData(dataId: DataId): void {
     if (this.data.has(dataId)) {
-      const {complexTensors} = this.data.get(dataId);
-      if (complexTensors != null) {
-        complexTensors.real.dispose();
-        complexTensors.imag.dispose();
+      const {complexTensorInfos} = this.data.get(dataId);
+
+      if (complexTensorInfos != null) {
+        this.disposeData(complexTensorInfos.real.dataId);
+        this.disposeData(complexTensorInfos.imag.dataId);
       }
+
       this.data.delete(dataId);
     }
   }
@@ -198,52 +214,6 @@ export class MathBackendCPU extends KernelBackend {
     };
   }
 
-  complex<T extends Tensor>(real: T, imag: T): T {
-    const result = this.makeOutput(null, real.shape, 'complex64');
-
-    const resultData = this.data.get(result.dataId);
-    // The backend owns the reference to the underlying real and imaginary
-    // clones. These will explicitly get disposed when the complex tensor is
-    // disposed.
-    resultData.complexTensors = {
-      real: engine().keep(real.clone()),
-      imag: engine().keep(imag.clone())
-    };
-
-    return result as T;
-  }
-  real<T extends Tensor>(input: T): T {
-    const resultData = this.data.get(input.dataId);
-    return resultData.complexTensors.real.clone() as T;
-  }
-  imag<T extends Tensor>(input: T): T {
-    const resultData = this.data.get(input.dataId);
-    return resultData.complexTensors.imag.clone() as T;
-  }
-
-  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {
-    assertNotComplex(x, 'slice');
-
-    const isContinous = slice_util.isSliceContinous(x.shape, begin, size);
-    if (isContinous) {
-      const flatOffset = slice_util.computeFlatOffset(begin, x.strides);
-      const length = util.sizeFromShape(size);
-      const vals = this.readSync(x.dataId) as TypedArray;
-      return tf.tensor(
-                 vals.subarray(flatOffset, flatOffset + length), size,
-                 x.dtype) as T;
-    }
-
-    const buffer = tf.buffer(size, x.dtype);
-    const xBuf = this.bufferSync(x);
-    for (let i = 0; i < buffer.size; ++i) {
-      const loc = buffer.indexToLoc(i);
-      const xLoc = loc.map((idx, j) => idx + begin[j]);
-      buffer.values[i] = xBuf.get(...xLoc);
-    }
-    return buffer.toTensor() as T;
-  }
-
   stridedSlice<T extends Tensor>(
       x: T, begin: number[], end: number[], strides: number[]): T {
     assertNotComplex(x, 'stridedSlice');
@@ -295,7 +265,7 @@ export class MathBackendCPU extends KernelBackend {
     const res = new Array(num);
     for (let i = 0; i < res.length; i++) {
       begin[axis] = i;
-      res[i] = this.slice(x, begin, size).reshape(outShape);
+      res[i] = tf.slice(x, begin, size).reshape(outShape);
     }
     return res;
   }
@@ -316,66 +286,11 @@ export class MathBackendCPU extends KernelBackend {
     return buffer.toTensor() as T;
   }
 
-  concat(tensors: Tensor[], axis: number): Tensor {
-    if (tensors[0].dtype === 'complex64') {
-      const reals = tensors.map((t) => tf.real(t));
-      const imags = tensors.map((t) => tf.imag(t));
-      return tf.complex(this.concat(reals, axis), this.concat(imags, axis));
-    }
-    const tensors2D = tensors.map(t => {
-      const innerSize = util.sizeFromShape(t.shape.slice(axis));
-      return t.as2D(-1, innerSize);
-    });
-    const outShape =
-      backend_util.computeOutShape(tensors2D.map(t => t.shape), 1 /* axis
-        */);
-    const values =
-        tf.buffer(outShape as [number, number], tensors[0].dtype as 'float32')
-            .values;
-    if (tensors2D[0].shape[0] === 1) {
-      // Use built-in TypedArray.set() method for speed.
-      let offset = 0;
-      tensors2D.forEach(t => {
-        values.set(this.readSync(t.dataId) as TypedArray, offset);
-        offset += t.size;
-      });
-    } else {
-      let colOffset = 0;
-      tensors2D.forEach(t => {
-        const tVals = this.readSync(t.dataId) as TypedArray;
-        let tIdx = 0;
-        for (let row = 0; row < t.shape[0]; ++row) {
-          const resIdx = row * outShape[1] + colOffset;
-          for (let col = 0; col < t.shape[1]; ++col) {
-            values[resIdx + col] = tVals[tIdx++];
-          }
-        }
-        colOffset += t.shape[1];
-      });
-    }
-    const finalOutShape =
-        backend_util.computeOutShape(tensors.map(t => t.shape), axis);
-    return tf.tensor(values, finalOutShape, tensors[0].dtype);
-  }
-
   neg<T extends Tensor>(x: T): T {
     assertNotComplex(x, 'neg');
 
-    return this.multiply(tf.scalar(-1), x) as T;
-  }
-
-  add(a: Tensor, b: Tensor): Tensor {
-    if (a.dtype === 'complex64' || b.dtype === 'complex64') {
-      return this.broadcastedBinaryComplexOp(
-          a.cast('complex64'), b.cast('complex64'),
-          (aReal, aImag, bReal, bImag) => {
-            return {real: aReal + bReal, imag: aImag + bImag};
-          });
-    }
-
-    return this.broadcastedBinaryOp(
-        a, b, upcastType(a.dtype, b.dtype),
-        (aValue, bValue) => aValue + bValue);
+    // TODO(lina128): Use mul directly once neg is modularized.
+    return tf.mul(tf.scalar(-1), x);
   }
 
   addN<T extends Tensor>(tensors: T[]): T {
@@ -400,7 +315,9 @@ export class MathBackendCPU extends KernelBackend {
     const maxLogit = max(logits, axes);
     const expandedShape =
         backend_util.expandShapeToKeepDim(maxLogit.shape, axes);
-    const a = this.subtract(logits, maxLogit.reshape(expandedShape));
+
+    // TODO(lina128): Use sub directly once softmax is modularized.
+    const a = tf.sub(logits, maxLogit.reshape(expandedShape));
     const b = this.exp(a);
     const sumExp = this.sum(b, axes).reshape(expandedShape);
 
@@ -409,20 +326,6 @@ export class MathBackendCPU extends KernelBackend {
     return tf.div(b, sumExp);
   }
 
-  subtract(a: Tensor, b: Tensor): Tensor {
-    if (a.dtype === 'complex64' || b.dtype === 'complex64') {
-      return this.broadcastedBinaryComplexOp(
-          a.cast('complex64'), b.cast('complex64'),
-          (aReal, aImag, bReal, bImag) => {
-            return {real: aReal - bReal, imag: aImag - bImag};
-          });
-    }
-
-    return this.broadcastedBinaryOp(
-        a, b, upcastType(a.dtype, b.dtype),
-        (aValue, bValue) => aValue - bValue);
-  }
-
   pow<T extends Tensor>(a: T, b: Tensor): T {
     assertNotComplex([a, b], 'pow');
 
@@ -487,7 +390,8 @@ export class MathBackendCPU extends KernelBackend {
           backend_util.FusedBatchMatMulConfig): Tensor3D {
     let result = this.batchMatMul(a, b, transposeA, transposeB);
     if (bias) {
-      result = this.add(result, bias) as Tensor3D;
+      // TODO(lina128): Use add directly once fusedBatchMatMul is modularized.
+      result = tf.add(result, bias);
     }
     if (activation) {
       result =
@@ -498,23 +402,6 @@ export class MathBackendCPU extends KernelBackend {
     return result;
   }
 
-  multiply(a: Tensor, b: Tensor): Tensor {
-    if (a.dtype === 'complex64' || b.dtype === 'complex64') {
-      return this.broadcastedBinaryComplexOp(
-          a.cast('complex64'), b.cast('complex64'),
-          (aReal, aImag, bReal, bImag) => {
-            return {
-              real: aReal * bReal - aImag * bImag,
-              imag: aReal * bImag + aImag * bReal
-            };
-          });
-    }
-
-    return this.broadcastedBinaryOp(
-        a, b, upcastType(a.dtype, b.dtype),
-        (aValue, bValue) => aValue * bValue);
-  }
-
   floorDiv(a: Tensor, b: Tensor): Tensor {
     assertNotComplex([a, b], 'floorDiv');
 
@@ -1208,17 +1095,6 @@ export class MathBackendCPU extends KernelBackend {
     return this.makeOutput(resultValues, x.shape, 'float32');
   }
 
-  int<T extends Tensor>(x: T): T {
-    assertNotComplex(x, 'int');
-
-    const resultValues = new Int32Array(x.size);
-    const values = this.readSync(x.dataId) as TypedArray;
-    for (let i = 0; i < values.length; ++i) {
-      resultValues[i] = values[i];
-    }
-    return this.makeOutput(resultValues, x.shape, 'int32');
-  }
-
   sigmoid<T extends Tensor>(x: T): T {
     assertNotComplex(x, 'sigmoid');
 
@@ -1442,7 +1318,8 @@ export class MathBackendCPU extends KernelBackend {
     let result = this.conv2d(input, filter, convInfo);
 
     if (bias) {
-      result = this.add(result, bias) as Tensor4D;
+      // TODO(lina128): Use add directly once fusedConv2d is modularized.
+      result = tf.add(result, bias);
     }
     if (activation) {
       result =
@@ -1891,7 +1768,9 @@ export class MathBackendCPU extends KernelBackend {
     let result = this.depthwiseConv2D(input, filter, convInfo);
 
     if (bias) {
-      result = this.add(result, bias) as Tensor4D;
+      // TODO(lina128): Use add directly once fusedDepthwiseConv2D is
+      // modularized.
+      result = tf.add(result, bias);
     }
     if (activation) {
       result =
@@ -2599,10 +2478,6 @@ export class MathBackendCPU extends KernelBackend {
     return dx.toTensor();
   }
 
-  cast<T extends Tensor>(x: T, dtype: DataType): T {
-    return backend_util.castTensor(x, dtype, this);
-  }
-
   avgPool(x: Tensor4D, convInfo: backend_util.Conv2DInfo): Tensor4D {
     assertNotComplex(x, 'avgPool');
     assertNotComplex(x, 'maxPool');
@@ -3089,123 +2964,6 @@ export class MathBackendCPU extends KernelBackend {
         boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);
   }
 
-  fft(x: Tensor2D): Tensor2D {
-    return this.fftBatch(x, false);
-  }
-
-  ifft(x: Tensor2D): Tensor2D {
-    return this.fftBatch(x, true);
-  }
-
-  /**
-   * Calculate FFT of inner most elements of batch tensor.
-   */
-  private fftBatch(x: Tensor2D, inverse: boolean): Tensor2D {
-    const batch = x.shape[0];
-    const innerDim = x.shape[1];
-    // Collects real and imaginary values separately.
-    const realResult = tf.buffer(x.shape, 'float32');
-    const imagResult = tf.buffer(x.shape, 'float32');
-
-    const real = tf.real(x).as2D(batch, innerDim);
-    const imag = tf.imag(x).as2D(batch, innerDim);
-
-    for (let b = 0; b < batch; b++) {
-      // TODO: Support slice ops for complex type.
-      const r = real.slice([b, 0], [1, innerDim]);
-      const i = imag.slice([b, 0], [1, innerDim]);
-      const input = tf.complex(r, i);
-      // Run FFT by batch element.
-      const res =
-          this.readSync(this.fftImpl(input, inverse).dataId) as Float32Array;
-      for (let d = 0; d < innerDim; d++) {
-        const c = backend_util.getComplexWithIndex(res, d);
-        realResult.values[b * innerDim + d] = c.real;
-        imagResult.values[b * innerDim + d] = c.imag;
-      }
-    }
-
-    const t = tf.complex(realResult.toTensor(), imagResult.toTensor());
-    return t.as2D(batch, innerDim);
-  }
-
-  private fftImpl(x: Tensor2D, inverse: boolean): Tensor2D {
-    const x1D = x.as1D();
-
-    const n = x1D.size;
-
-    if (this.isExponentOf2(n)) {
-      let result = this.fftRadix2(x1D, n, inverse).as2D(x.shape[0], x.shape[1]);
-      if (inverse) {
-        result = tf.complex(
-                     tf.real(result).div(tf.scalar(n)),
-                     tf.imag(result).div(tf.scalar(n))) as Tensor2D;
-      }
-      return result;
-    } else {
-      const data = this.readSync(x.dataId) as TypedArray;
-      const rawOutput =
-          this.fourierTransformByMatmul(data, n, inverse) as Float32Array;
-      const output = backend_util.splitRealAndImagArrays(rawOutput);
-      return tf.complex(output.real, output.imag).as2D(x.shape[0], x.shape[1]);
-    }
-  }
-
-  private isExponentOf2(size: number): boolean {
-    return (size & size - 1) === 0;
-  }
-
-  // FFT using Cooley-Tukey algorithm on radix 2 dimensional input.
-  private fftRadix2(input: Tensor1D, size: number, inverse: boolean): Tensor1D {
-    if (size === 1) {
-      return input;
-    }
-    const data = this.readSync(input.dataId) as TypedArray as Float32Array;
-    const half = size / 2;
-    const evenComplex = backend_util.complexWithEvenIndex(data);
-    let evenTensor = tf.complex(evenComplex.real, evenComplex.imag).as1D();
-    const oddComplex = backend_util.complexWithOddIndex(data);
-    let oddTensor = tf.complex(oddComplex.real, oddComplex.imag).as1D();
-
-    // Recursive call for half part of original input.
-    evenTensor = this.fftRadix2(evenTensor, half, inverse);
-    oddTensor = this.fftRadix2(oddTensor, half, inverse);
-
-    const e = backend_util.exponents(size, inverse);
-    const exponent = tf.complex(e.real, e.imag).mul(oddTensor);
-
-    const addPart = evenTensor.add(exponent);
-    const subPart = evenTensor.sub(exponent);
-
-    const realTensor = tf.real(addPart).concat(tf.real(subPart));
-    const imagTensor = tf.imag(addPart).concat(tf.imag(subPart));
-
-    return tf.complex(realTensor, imagTensor).as1D();
-  }
-
-  // Calculate fourier transform by multplying sinusoid matrix.
-  private fourierTransformByMatmul(
-      data: TypedArray, size: number, inverse: boolean): TypedArray {
-    const ret = new Float32Array(size * 2);
-    // TODO: Use matmul instead once it supports complex64 type.
-    for (let r = 0; r < size; r++) {
-      let real = 0.0;
-      let imag = 0.0;
-      for (let c = 0; c < size; c++) {
-        const e = backend_util.exponent(r * c, size, inverse);
-        const term = backend_util.getComplexWithIndex(data as Float32Array, c);
-        real += term.real * e.real - term.imag * e.imag;
-        imag += term.real * e.imag + term.imag * e.real;
-      }
-      if (inverse) {
-        real /= size;
-        imag /= size;
-      }
-      backend_util.assignToTypedArray(ret, real, imag, r);
-    }
-    return ret;
-  }
-
   depthToSpace(x: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):
       Tensor4D {
     util.assert(
@@ -3287,62 +3045,6 @@ export class MathBackendCPU extends KernelBackend {
     return result.toTensor();
   }
 
-  private broadcastedBinaryComplexOp(
-      a: Tensor, b: Tensor,
-      op:
-          (aReal: number, aImag: number, bReal: number,
-           bImag: number) => {real: number, imag: number}): Tensor {
-    const newShape = backend_util.assertAndGetBroadcastShape(a.shape, b.shape);
-    const realResult = tf.buffer(newShape, 'float32');
-    const imagResult = tf.buffer(newShape, 'float32');
-
-    const aVals = this.readSync(a.dataId) as TypedArray;
-    const bVals = this.readSync(b.dataId) as TypedArray;
-    const aBroadcastDims = backend_util.getBroadcastDims(a.shape, newShape);
-    const bBroadcastDims = backend_util.getBroadcastDims(b.shape, newShape);
-
-    const realVals = realResult.values;
-    const imagVals = imagResult.values;
-
-    if (aBroadcastDims.length + bBroadcastDims.length === 0) {
-      for (let i = 0; i < realVals.length; i++) {
-        const aIdx = i % aVals.length;
-        const bIdx = i % bVals.length;
-
-        const result =
-            op(aVals[aIdx * 2], aVals[aIdx * 2 + 1], bVals[bIdx * 2],
-               bVals[bIdx * 2 + 1]);
-
-        realVals[i] = result.real;
-        imagVals[i] = result.imag;
-      }
-    } else {
-      const aRealBuf =
-          this.bufferSync(this.data.get(a.dataId).complexTensors.real);
-      const bRealBuf =
-          this.bufferSync(this.data.get(b.dataId).complexTensors.real);
-      for (let i = 0; i < realVals.length; i++) {
-        const loc = realResult.indexToLoc(i);
-
-        const aLoc = loc.slice(-a.rank);
-        aBroadcastDims.forEach(d => aLoc[d] = 0);
-        const aIndex = aRealBuf.locToIndex(aLoc);
-
-        const bLoc = loc.slice(-b.rank);
-        bBroadcastDims.forEach(d => bLoc[d] = 0);
-        const bIndex = bRealBuf.locToIndex(bLoc);
-
-        const opResult =
-            op(aVals[aIndex * 2], aVals[aIndex * 2 + 1], bVals[bIndex * 2],
-               bVals[bIndex * 2 + 1]);
-
-        realVals[i] = opResult.real;
-        imagVals[i] = opResult.imag;
-      }
-    }
-    return this.complex(realResult.toTensor(), imagResult.toTensor());
-  }
-
   split<T extends Tensor>(x: T, sizeSplits: number[], axis: number): T[] {
     return split(x, sizeSplits, axis);
   }
diff --git a/tfjs-backend-cpu/src/kernels/Add.ts b/tfjs-backend-cpu/src/kernels/Add.ts
new file mode 100644
index 00000000000..34f46ace993
--- /dev/null
+++ b/tfjs-backend-cpu/src/kernels/Add.ts
@@ -0,0 +1,30 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {Add, KernelConfig} from '@tensorflow/tfjs-core';
+import {binaryKernelFunc} from '../utils/kernel_utils';
+
+export const add =
+    binaryKernelFunc(Add, ((a, b) => a + b), ((aReal, aImag, bReal, bImag) => {
+                       return {real: aReal + bReal, imag: aImag + bImag};
+                     }));
+
+export const addConfig: KernelConfig = {
+  kernelName: Add,
+  backendName: 'cpu',
+  kernelFunc: add
+};
diff --git a/tfjs-backend-cpu/src/kernels/Cast.ts b/tfjs-backend-cpu/src/kernels/Cast.ts
new file mode 100644
index 00000000000..b83b53d308c
--- /dev/null
+++ b/tfjs-backend-cpu/src/kernels/Cast.ts
@@ -0,0 +1,96 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+import * as tf from '@tensorflow/tfjs-core';
+import {Cast, CastAttrs, CastInputs, KernelConfig, KernelFunc, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';
+
+import {MathBackendCPU} from '../backend_cpu';
+import {createSimpleBinaryKernelImpl} from '../utils/binary_impl';
+
+import {complex} from './Complex';
+import {identity} from './Identity';
+import {real} from './Real';
+
+export function cast(
+    args: {inputs: CastInputs, backend: MathBackendCPU, attrs: CastAttrs}):
+    TensorInfo {
+  const {inputs, backend, attrs} = args;
+  const {x} = inputs;
+  const {dtype} = attrs;
+
+  // Casting to complex64.
+  if (dtype === 'complex64') {
+    if (x.dtype === 'complex64') {
+      return identity({inputs: {x}, backend});
+    }
+
+    // TODO(lina128): Import kernel function once zeros is modularized.
+    const zerosTensor = tf.zeros(x.shape);
+    const floatX = cast({inputs: {x}, backend, attrs: {dtype: 'float32'}});
+
+    const result =
+        complex({inputs: {real: floatX, imag: zerosTensor}, backend});
+
+    zerosTensor.dispose();
+    backend.disposeIntermediateTensorInfo(floatX);
+
+    return result;
+  }
+
+  // Casting from complex64
+  if (x.dtype === 'complex64') {
+    const realPart = real({inputs: {input: x}, backend});
+    const result = cast({inputs: {x: realPart}, backend, attrs: {dtype}});
+
+    backend.disposeIntermediateTensorInfo(realPart);
+
+    return result;
+  }
+
+  if (!util.hasEncodingLoss(x.dtype, dtype)) {
+    // We don't change the underlying data, since we cast to higher
+    // precision.
+    const result = identity({inputs: {x}, backend});
+    return {dataId: result.dataId, shape: result.shape, dtype};
+  }
+
+  if (dtype === 'int32') {
+    const values = backend.data.get(x.dataId).values as TypedArray;
+    const resultValues = Int32Array.from(values);
+    return backend.makeTensorInfo(x.shape, 'int32', resultValues);
+  }
+
+  if (dtype === 'bool') {
+    // This is essentially the result of notEqual(x, 0). We avoid using
+    // kernel notEqual to avoid circular dependency, i.e. binary_utils ->
+    // cast -> notEqual -> binary_utils.
+    const xVals = backend.data.get(x.dataId).values as TypedArray;
+    const zero = util.toTypedArray([0], x.dtype);
+
+    const [resultData, resultShape] = createSimpleBinaryKernelImpl(
+        (a, b) => (a !== b) ? 1 : 0)(x.shape, [], xVals, zero, 'bool');
+
+    return backend.makeTensorInfo(resultShape, 'bool', resultData);
+  }
+
+  throw new Error(`Error in Cast: failed to cast ${x.dtype} to ${dtype}`);
+}
+
+export const castConfig: KernelConfig = {
+  kernelName: Cast,
+  backendName: 'cpu',
+  kernelFunc: cast as {} as KernelFunc
+};
diff --git a/tfjs-backend-cpu/src/kernels/Complex.ts b/tfjs-backend-cpu/src/kernels/Complex.ts
new file mode 100644
index 00000000000..5272dfe3c5e
--- /dev/null
+++ b/tfjs-backend-cpu/src/kernels/Complex.ts
@@ -0,0 +1,49 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {Complex, ComplexInputs, KernelConfig, KernelFunc, TensorInfo, TypedArray} from '@tensorflow/tfjs-core';
+
+import {MathBackendCPU} from '../backend_cpu';
+
+export function complex(args: {inputs: ComplexInputs, backend: MathBackendCPU}):
+    TensorInfo {
+  const {inputs, backend} = args;
+  const {real, imag} = inputs;
+
+  const realVals = backend.data.get(real.dataId).values as TypedArray;
+  const imagVals = backend.data.get(imag.dataId).values as TypedArray;
+
+  const complexInfo = backend.makeTensorInfo(real.shape, 'complex64');
+
+  const complex = backend.data.get(complexInfo.dataId);
+
+  // The complex tensor owns the underlying real and imag tensorInfos, only the
+  // complex tensor tracks refCount, when complexData is disposed the
+  // underlying tensorData will be disposed.
+  complex.complexTensorInfos = {
+    real: backend.makeTensorInfo(real.shape, 'float32', realVals),
+    imag: backend.makeTensorInfo(imag.shape, 'float32', imagVals)
+  };
+
+  return complexInfo;
+}
+
+export const complexConfig: KernelConfig = {
+  kernelName: Complex,
+  backendName: 'cpu',
+  kernelFunc: complex as {} as KernelFunc
+};
diff --git a/tfjs-backend-cpu/src/kernels/Complex_test.ts b/tfjs-backend-cpu/src/kernels/Complex_test.ts
new file mode 100644
index 00000000000..5650c5816c4
--- /dev/null
+++ b/tfjs-backend-cpu/src/kernels/Complex_test.ts
@@ -0,0 +1,214 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import * as tf from '@tensorflow/tfjs-core';
+import {test_util} from '@tensorflow/tfjs-core';
+
+const {expectArraysClose} = test_util;
+// tslint:disable-next-line: no-imports-from-dist
+import {describeWithFlags, ALL_ENVS} from '@tensorflow/tfjs-core/dist/jasmine_util';
+
+describeWithFlags('Complex.', ALL_ENVS, () => {
+  it('memory usage.', async () => {
+    let numTensors = tf.memory().numTensors;
+    let numDataIds = tf.engine().backend.numDataIds();
+    const startTensors = numTensors;
+    const startDataIds = numDataIds;
+
+    const real1 = tf.tensor1d([1]);
+    const imag1 = tf.tensor1d([2]);
+
+    // 2 new Tensors: real1, imag1.
+    expect(tf.memory().numTensors).toBe(numTensors + 2);
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIds + 2);
+    numTensors = tf.memory().numTensors;
+    numDataIds = tf.engine().backend.numDataIds();
+
+    const complex1 = tf.complex(real1, imag1);
+
+    // 1 new Tensor and 3 new TensorData for complex, real and imag.
+    expect(tf.memory().numTensors).toBe(numTensors + 1);
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIds + 3);
+    numTensors = tf.memory().numTensors;
+    numDataIds = tf.engine().backend.numDataIds();
+
+    const real2 = tf.tensor1d([3]);
+    const imag2 = tf.tensor1d([4]);
+
+    // 2 new Tensors: real2, imag2.
+    expect(tf.memory().numTensors).toBe(numTensors + 2);
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIds + 2);
+    numTensors = tf.memory().numTensors;
+    numDataIds = tf.engine().backend.numDataIds();
+
+    const complex2 = tf.complex(real2, imag2);
+
+    // 1 new Tensor and 3 new TensorData for complex, real and imag.
+    expect(tf.memory().numTensors).toBe(numTensors + 1);
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIds + 3);
+    numTensors = tf.memory().numTensors;
+    numDataIds = tf.engine().backend.numDataIds();
+
+    const result = complex1.add(complex2);
+
+    // A complex tensor is created, which is composed of real and imag parts.
+    // They should not increase tensor count, only complex tensor does.
+    // 3 new tensorData is created for complex, real and imag.
+    expect(tf.memory().numTensors).toBe(numTensors + 1);
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIds + 3);
+    numTensors = tf.memory().numTensors;
+    numDataIds = tf.engine().backend.numDataIds();
+
+    expect(result.dtype).toBe('complex64');
+    expect(result.shape).toEqual([1]);
+    expectArraysClose(await result.data(), [4, 6]);
+
+    const real = tf.real(result);
+
+    // A new tensor is created. A new tensorData is created.
+    expect(tf.memory().numTensors).toBe(numTensors + 1);
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIds + 1);
+    numTensors = tf.memory().numTensors;
+    numDataIds = tf.engine().backend.numDataIds();
+
+    expectArraysClose(await real.data(), [4]);
+
+    const imag = tf.imag(result);
+
+    // A new tensor is created. A new tensorData is created.
+    expect(tf.memory().numTensors).toBe(numTensors + 1);
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIds + 1);
+    numTensors = tf.memory().numTensors;
+    numDataIds = tf.engine().backend.numDataIds();
+
+    expectArraysClose(await imag.data(), [6]);
+
+    // After disposing, there should be no tensors.
+    real1.dispose();
+    imag1.dispose();
+    real2.dispose();
+    imag2.dispose();
+    complex1.dispose();
+    complex2.dispose();
+    result.dispose();
+    real.dispose();
+    imag.dispose();
+    expect(tf.memory().numTensors).toBe(startTensors);
+    expect(tf.engine().backend.numDataIds()).toBe(startDataIds);
+  });
+
+  it('tf.complex disposing underlying tensors', async () => {
+    const numTensors = tf.memory().numTensors;
+    const numDataIds = tf.engine().backend.numDataIds();
+
+    const real = tf.tensor1d([3, 30]);
+    const imag = tf.tensor1d([4, 40]);
+    expect(tf.memory().numTensors).toEqual(numTensors + 2);
+    expect(tf.engine().backend.numDataIds()).toEqual(numDataIds + 2);
+
+    const complex = tf.complex(real, imag);
+
+    // 1 new tensor is created for complex. real and imag tensorData is created.
+    expect(tf.memory().numTensors).toEqual(numTensors + 3);
+    expect(tf.engine().backend.numDataIds()).toEqual(numDataIds + 5);
+
+    real.dispose();
+    imag.dispose();
+
+    expect(tf.memory().numTensors).toEqual(numTensors + 1);
+    expect(tf.engine().backend.numDataIds()).toEqual(numDataIds + 3);
+
+    expect(complex.dtype).toBe('complex64');
+    expect(complex.shape).toEqual(real.shape);
+    expectArraysClose(await complex.data(), [3, 4, 30, 40]);
+
+    complex.dispose();
+
+    expect(tf.memory().numTensors).toEqual(numTensors);
+    expect(tf.engine().backend.numDataIds()).toEqual(numDataIds);
+  });
+
+  it('reshape', async () => {
+    const memoryBefore = tf.memory();
+    const numDataIdsBefore = tf.engine().backend.numDataIds();
+
+    const a = tf.complex([[1, 3, 5], [7, 9, 11]], [[2, 4, 6], [8, 10, 12]]);
+
+    // 1 new tensor, the complex64 tensor
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 1);
+    // 1 new tensor and 2 underlying tensors for real and imag.
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIdsBefore + 3);
+
+    const b = a.reshape([6]);
+
+    // 1 new tensor from the reshape.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 2);
+    // No new tensor data.
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIdsBefore + 3);
+
+    expect(b.dtype).toBe('complex64');
+    expect(b.shape).toEqual([6]);
+    expectArraysClose(await a.data(), await b.data());
+
+    b.dispose();
+    // 1 complex tensor should be disposed.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 1);
+    // Tensor data not deleted yet.
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIdsBefore + 3);
+
+    a.dispose();
+
+    // All the tensors should now be disposed.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors);
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIdsBefore);
+  });
+
+  it('clone', async () => {
+    const memoryBefore = tf.memory();
+    const numDataIdsBefore = tf.engine().backend.numDataIds();
+
+    const a = tf.complex([[1, 3, 5], [7, 9, 11]], [[2, 4, 6], [8, 10, 12]]);
+
+    // 1 new tensor, the complex64 tensor
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 1);
+    // 1 new tensor and 2 underlying tensors for real and imag.
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIdsBefore + 3);
+
+    const b = a.clone();
+
+    // 1 new tensor from the clone.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 2);
+    // No new tensor data.
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIdsBefore + 3);
+
+    expect(b.dtype).toBe('complex64');
+    expectArraysClose(await a.data(), await b.data());
+
+    b.dispose();
+
+    // 1 complex tensor should be disposed.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 1);
+    // Tensor data not deleted yet.
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIdsBefore + 3);
+
+    a.dispose();
+
+    // All the tensors should now be disposed.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors);
+    expect(tf.engine().backend.numDataIds()).toBe(numDataIdsBefore);
+  });
+});
diff --git a/tfjs-backend-cpu/src/kernels/Concat.ts b/tfjs-backend-cpu/src/kernels/Concat.ts
new file mode 100644
index 00000000000..98e146049cf
--- /dev/null
+++ b/tfjs-backend-cpu/src/kernels/Concat.ts
@@ -0,0 +1,131 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {backend_util, Concat, ConcatAttrs, ConcatInputs, KernelConfig, KernelFunc, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';
+
+import {MathBackendCPU} from '../backend_cpu';
+
+import {complex} from './Complex';
+import {imag} from './Imag';
+import {real} from './Real';
+import {reshape} from './Reshape';
+
+export function concat(
+    args: {inputs: ConcatInputs, backend: MathBackendCPU, attrs: ConcatAttrs}):
+    TensorInfo {
+  const {inputs, backend, attrs} = args;
+  const {axis} = attrs;
+
+  const $axis = util.parseAxisParam(axis, inputs[0].shape)[0];
+  let outShape = backend_util.computeOutShape(inputs.map(t => t.shape), $axis);
+
+  if (util.sizeFromShape(outShape) === 0) {
+    return backend.makeTensorInfo(outShape, inputs[0].dtype, []);
+  }
+
+  // Keep only non-empty tensors (ignore tensors with 0 in their shape).
+  const $inputs = inputs.filter(t => util.sizeFromShape(t.shape) > 0);
+  if ($inputs.length === 1) {
+    return $inputs[0];
+  }
+
+  const shapes = $inputs.map(t => t.shape);
+  backend_util.assertParamsConsistent(shapes, $axis);
+
+  if ($inputs[0].dtype === 'complex64') {
+    const reals = $inputs.map((t) => real({inputs: {input: t}, backend}));
+    const imags = $inputs.map((t) => imag({inputs: {input: t}, backend}));
+
+    const realConcated = concat({inputs: reals, backend, attrs: {axis}});
+    const imagConcated = concat({inputs: imags, backend, attrs: {axis}});
+
+    const result =
+        complex({inputs: {real: realConcated, imag: imagConcated}, backend});
+
+    reals.forEach(r => backend.disposeIntermediateTensorInfo(r));
+    imags.forEach(i => backend.disposeIntermediateTensorInfo(i));
+    backend.disposeIntermediateTensorInfo(realConcated);
+    backend.disposeIntermediateTensorInfo(imagConcated);
+
+    return result;
+  }
+
+  // Any concat of n-dimensional tensors across any axis can be reduced to
+  // a concatenation of two-dimensional tensors across the axis 1 by first
+  // partitioning the axes of the original tensors into those less than the
+  // axis to be concatenated and the rest. Then reshape the tensors
+  // into a two-dimensional tensor by collapsing these two sets of axes and
+  // concatenate the resulting matrices across the axis 1, finally reshaping
+  // the result to have the proper shape.
+  const inputs2D = $inputs.map(t => {
+    const innerSize = util.sizeFromShape(t.shape.slice($axis));
+    const shape = [-1, innerSize];
+    return reshape({inputs: {x: t}, backend, attrs: {shape}});
+  });
+
+  // Concats 2d tensors along axis=1.
+  outShape =
+      backend_util.computeOutShape(inputs2D.map(t => t.shape), 1 /* axis */);
+
+  const outVals = util.getTypedArrayFromDType(
+      $inputs[0].dtype as 'float32', util.sizeFromShape(outShape));
+
+  if (inputs2D[0].shape[0] === 1) {
+    // Use built-in TypedArray.set() method for speed.
+    let offset = 0;
+    inputs2D.forEach(t => {
+      const val = backend.data.get(t.dataId).values as TypedArray;
+      const size = util.sizeFromShape(t.shape);
+
+      outVals.set(val, offset);
+      offset += size;
+    });
+  } else {
+    let colOffset = 0;
+
+    inputs2D.forEach(t => {
+      const tVals = backend.data.get(t.dataId).values as TypedArray;
+
+      let tIdx = 0;
+
+      for (let row = 0; row < t.shape[0]; ++row) {
+        const resIdx = row * outShape[1] + colOffset;
+        for (let col = 0; col < t.shape[1]; ++col) {
+          outVals[resIdx + col] = tVals[tIdx++];
+        }
+      }
+
+      colOffset += t.shape[1];
+    });
+  }
+
+  const finalOutShape =
+      backend_util.computeOutShape($inputs.map(t => t.shape), $axis);
+
+  const outInfo =
+      backend.makeTensorInfo(finalOutShape, inputs[0].dtype, outVals);
+
+  inputs2D.forEach(t => backend.disposeIntermediateTensorInfo(t));
+
+  return outInfo;
+}
+
+export const concatConfig: KernelConfig = {
+  kernelName: Concat,
+  backendName: 'cpu',
+  kernelFunc: concat as {} as KernelFunc
+};
diff --git a/tfjs-backend-cpu/src/kernels/FFT.ts b/tfjs-backend-cpu/src/kernels/FFT.ts
new file mode 100644
index 00000000000..5ab79cde337
--- /dev/null
+++ b/tfjs-backend-cpu/src/kernels/FFT.ts
@@ -0,0 +1,56 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {FFT, FFTInputs, KernelConfig, KernelFunc, TensorInfo, util} from '@tensorflow/tfjs-core';
+
+import {MathBackendCPU} from '../backend_cpu';
+import {fftBatch} from '../utils/fft_utils';
+import {reshape} from './Reshape';
+
+export function fft(args: {inputs: FFTInputs, backend: MathBackendCPU}):
+    TensorInfo {
+  const {inputs, backend} = args;
+  const {input} = inputs;
+
+  const inputSize = util.sizeFromShape(input.shape);
+
+  // Collapse all outer dimensions to a single batch dimension.
+  const innerDimensionSize = input.shape[input.shape.length - 1];
+  const batch = inputSize / innerDimensionSize;
+
+  const input2D = reshape({
+    inputs: {x: input},
+    backend,
+    attrs: {shape: [batch, innerDimensionSize]}
+  });
+
+  const result = fftBatch(input2D, false, backend);
+
+  const resultReshaped =
+      reshape({inputs: {x: result}, backend, attrs: {shape: input.shape}});
+
+  backend.disposeIntermediateTensorInfo(input2D);
+  backend.disposeIntermediateTensorInfo(result);
+
+  return resultReshaped;
+}
+
+export const fftConfig: KernelConfig = {
+  kernelName: FFT,
+  backendName: 'cpu',
+  kernelFunc: fft as {} as KernelFunc
+};
diff --git a/tfjs-backend-cpu/src/kernels/IFFT.ts b/tfjs-backend-cpu/src/kernels/IFFT.ts
new file mode 100644
index 00000000000..f2f7562979f
--- /dev/null
+++ b/tfjs-backend-cpu/src/kernels/IFFT.ts
@@ -0,0 +1,56 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {IFFT, IFFTInputs, KernelConfig, KernelFunc, TensorInfo, util} from '@tensorflow/tfjs-core';
+
+import {MathBackendCPU} from '../backend_cpu';
+import {fftBatch} from '../utils/fft_utils';
+import {reshape} from './Reshape';
+
+export function ifft(args: {inputs: IFFTInputs, backend: MathBackendCPU}):
+    TensorInfo {
+  const {inputs, backend} = args;
+  const {input} = inputs;
+
+  const inputSize = util.sizeFromShape(input.shape);
+
+  // Collapse all outer dimensions to a single batch dimension.
+  const innerDimensionSize = input.shape[input.shape.length - 1];
+  const batch = inputSize / innerDimensionSize;
+
+  const input2D = reshape({
+    inputs: {x: input},
+    backend,
+    attrs: {shape: [batch, innerDimensionSize]}
+  });
+
+  const result = fftBatch(input2D, true, backend);
+
+  const resultReshaped =
+      reshape({inputs: {x: result}, backend, attrs: {shape: input.shape}});
+
+  backend.disposeIntermediateTensorInfo(input2D);
+  backend.disposeIntermediateTensorInfo(result);
+
+  return resultReshaped;
+}
+
+export const ifftConfig: KernelConfig = {
+  kernelName: IFFT,
+  backendName: 'cpu',
+  kernelFunc: ifft as {} as KernelFunc
+};
diff --git a/tfjs-backend-cpu/src/kernels/Imag.ts b/tfjs-backend-cpu/src/kernels/Imag.ts
new file mode 100644
index 00000000000..563abf8ca38
--- /dev/null
+++ b/tfjs-backend-cpu/src/kernels/Imag.ts
@@ -0,0 +1,40 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {Imag, ImagInputs, KernelConfig, KernelFunc, TensorInfo} from '@tensorflow/tfjs-core';
+
+import {MathBackendCPU} from '../backend_cpu';
+
+export function imag(args: {inputs: ImagInputs, backend: MathBackendCPU}):
+    TensorInfo {
+  const {inputs, backend} = args;
+  const {input} = inputs;
+
+  const imag = backend.data.get(input.dataId).complexTensorInfos.imag;
+  const imagVal = backend.data.get(imag.dataId).values;
+
+  // When complex tensor is disposed, its underlying parts will be disposed too.
+  // Make new tensor out of the imag value of the complex. This makes sure the
+  // value is still accessible even if complex tensor is disposed.
+  return backend.makeTensorInfo(imag.shape, imag.dtype, imagVal);
+}
+
+export const imagConfig: KernelConfig = {
+  kernelName: Imag,
+  backendName: 'cpu',
+  kernelFunc: imag as {} as KernelFunc
+};
diff --git a/tfjs-backend-cpu/src/kernels/Multiply.ts b/tfjs-backend-cpu/src/kernels/Multiply.ts
new file mode 100644
index 00000000000..c62653d685b
--- /dev/null
+++ b/tfjs-backend-cpu/src/kernels/Multiply.ts
@@ -0,0 +1,34 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {KernelConfig, Multiply} from '@tensorflow/tfjs-core';
+import {binaryKernelFunc} from '../utils/kernel_utils';
+
+export const multiply = binaryKernelFunc(
+    Multiply, ((aValue, bValue) => aValue * bValue),
+    ((aReal, aImag, bReal, bImag) => {
+      return {
+        real: aReal * bReal - aImag * bImag,
+        imag: aReal * bImag + aImag * bReal
+      };
+    }));
+
+export const multiplyConfig: KernelConfig = {
+  kernelName: Multiply,
+  backendName: 'cpu',
+  kernelFunc: multiply
+};
diff --git a/tfjs-backend-cpu/src/kernels/NotEqual.ts b/tfjs-backend-cpu/src/kernels/NotEqual.ts
index bd8ad16d284..ee57e71dd77 100644
--- a/tfjs-backend-cpu/src/kernels/NotEqual.ts
+++ b/tfjs-backend-cpu/src/kernels/NotEqual.ts
@@ -16,11 +16,10 @@
  */
 
 import {KernelConfig, NotEqual} from '@tensorflow/tfjs-core';
-
 import {binaryKernelFunc} from '../utils/kernel_utils';
 
-export const notEqual =
-    binaryKernelFunc(NotEqual, ((a, b) => (a !== b) ? 1 : 0), 'bool');
+export const notEqual = binaryKernelFunc(
+    NotEqual, ((a, b) => (a !== b) ? 1 : 0), null /* complexOp */, 'bool');
 
 export const notEqualConfig: KernelConfig = {
   kernelName: NotEqual,
diff --git a/tfjs-backend-cpu/src/kernels/Real.ts b/tfjs-backend-cpu/src/kernels/Real.ts
new file mode 100644
index 00000000000..068c39d58c6
--- /dev/null
+++ b/tfjs-backend-cpu/src/kernels/Real.ts
@@ -0,0 +1,40 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {KernelConfig, KernelFunc, Real, RealInputs, TensorInfo} from '@tensorflow/tfjs-core';
+
+import {MathBackendCPU} from '../backend_cpu';
+
+export function real(args: {inputs: RealInputs, backend: MathBackendCPU}):
+    TensorInfo {
+  const {inputs, backend} = args;
+  const {input} = inputs;
+
+  const real = backend.data.get(input.dataId).complexTensorInfos.real;
+  const realVal = backend.data.get(real.dataId).values;
+
+  // When complex tensor is disposed, its underlying parts will be disposed too.
+  // Make new tensor out of the real value of the complex. This makes sure the
+  // value is still accessible even if complex tensor is disposed.
+  return backend.makeTensorInfo(real.shape, real.dtype, realVal);
+}
+
+export const realConfig: KernelConfig = {
+  kernelName: Real,
+  backendName: 'cpu',
+  kernelFunc: real as {} as KernelFunc
+};
diff --git a/tfjs-backend-cpu/src/kernels/Reshape.ts b/tfjs-backend-cpu/src/kernels/Reshape.ts
index e9a878b6346..1a80cd6d61b 100644
--- a/tfjs-backend-cpu/src/kernels/Reshape.ts
+++ b/tfjs-backend-cpu/src/kernels/Reshape.ts
@@ -15,7 +15,7 @@
  * =============================================================================
  */
 
-import {KernelConfig, KernelFunc, Reshape, ReshapeAttrs, ReshapeInputs, TensorInfo} from '@tensorflow/tfjs-core';
+import {KernelConfig, KernelFunc, Reshape, ReshapeAttrs, ReshapeInputs, TensorInfo, util} from '@tensorflow/tfjs-core';
 
 import {MathBackendCPU} from '../backend_cpu';
 
@@ -27,9 +27,29 @@ export function reshape(
   const {x} = inputs;
   const {shape} = attrs;
 
+  const xSize = util.sizeFromShape(x.shape);
+  const $shape = util.inferFromImplicitShape(shape, xSize);
+  const $xSize = util.sizeFromShape($shape);
+
+  util.assert(
+      xSize === $xSize,
+      () => `The new shape (${$shape}) has ${$xSize} elements and the old ` +
+          `shape (${x.shape}) has ${xSize} elements. The new shape and old ` +
+          `shape must have the same number of elements.`);
+
   backend.incRef(x.dataId);
 
-  return {dataId: x.dataId, shape, dtype: x.dtype};
+  const xData = backend.data.get(x.dataId);
+
+  if (xData.complexTensorInfos != null) {
+    const real = xData.complexTensorInfos.real;
+    const imag = xData.complexTensorInfos.imag;
+
+    real.shape = $shape;
+    imag.shape = $shape;
+  }
+
+  return {dataId: x.dataId, shape: $shape, dtype: x.dtype};
 }
 
 export const reshapeConfig: KernelConfig = {
diff --git a/tfjs-backend-cpu/src/kernels/Slice.ts b/tfjs-backend-cpu/src/kernels/Slice.ts
new file mode 100644
index 00000000000..7f6b93785a3
--- /dev/null
+++ b/tfjs-backend-cpu/src/kernels/Slice.ts
@@ -0,0 +1,67 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {KernelConfig, KernelFunc, NumericDataType, Slice, slice_util, SliceAttrs, SliceInputs, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';
+
+import {MathBackendCPU} from '../backend_cpu';
+import {assertNotComplex} from '../cpu_util';
+
+export function slice(
+    args: {inputs: SliceInputs, backend: MathBackendCPU, attrs: SliceAttrs}):
+    TensorInfo {
+  const {inputs, backend, attrs} = args;
+  const {x} = inputs;
+  const {begin, size} = attrs;
+
+  assertNotComplex(x, 'slice');
+
+  const xRank = x.shape.length;
+  const xStrides = util.computeStrides(x.shape);
+
+  const [$begin, $size] = slice_util.parseSliceParams(x, begin, size);
+  slice_util.assertParamsValid(x, $begin, $size);
+
+  const isContinous = slice_util.isSliceContinous(x.shape, $begin, $size);
+  const vals = backend.data.get(x.dataId).values as TypedArray;
+  const length = util.sizeFromShape($size);
+
+  if (isContinous) {
+    const flatOffset = slice_util.computeFlatOffset($begin, xStrides);
+    const resultVals = vals.subarray(flatOffset, flatOffset + length);
+    return backend.makeTensorInfo($size, x.dtype, resultVals);
+  }
+
+  const outVals =
+      util.getTypedArrayFromDType(x.dtype as NumericDataType, length);
+
+  for (let i = 0; i < length; ++i) {
+    const rank = $size.length;
+    const strides = util.computeStrides($size);
+    const loc = util.indexToLoc(i, rank, strides);
+    const xLoc = loc.map((idx: number, j) => idx + $begin[j]);
+    const xIndex = util.locToIndex(xLoc, xRank, xStrides);
+    outVals[i] = vals[xIndex];
+  }
+
+  return backend.makeTensorInfo($size, x.dtype, outVals);
+}
+
+export const sliceConfig: KernelConfig = {
+  kernelName: Slice,
+  backendName: 'cpu',
+  kernelFunc: slice as {} as KernelFunc
+};
diff --git a/tfjs-backend-cpu/src/kernels/SquaredDifference.ts b/tfjs-backend-cpu/src/kernels/SquaredDifference.ts
index 12f8424dc06..7f6fb1d6aad 100644
--- a/tfjs-backend-cpu/src/kernels/SquaredDifference.ts
+++ b/tfjs-backend-cpu/src/kernels/SquaredDifference.ts
@@ -19,11 +19,10 @@ import {KernelConfig, SquaredDifference} from '@tensorflow/tfjs-core';
 
 import {binaryKernelFunc} from '../utils/kernel_utils';
 
-export const squaredDifference =
-    binaryKernelFunc(SquaredDifference, (aVal, bVal) => {
-      const diff = aVal - bVal;
-      return diff * diff;
-    });
+export const squaredDifference = binaryKernelFunc(SquaredDifference, (a, b) => {
+  const diff = a - b;
+  return diff * diff;
+});
 
 export const squaredDifferenceConfig: KernelConfig = {
   kernelName: SquaredDifference,
diff --git a/tfjs-backend-cpu/src/kernels/Sub.ts b/tfjs-backend-cpu/src/kernels/Sub.ts
new file mode 100644
index 00000000000..83b8d57124f
--- /dev/null
+++ b/tfjs-backend-cpu/src/kernels/Sub.ts
@@ -0,0 +1,31 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {KernelConfig, Sub} from '@tensorflow/tfjs-core';
+import {binaryKernelFunc} from '../utils/kernel_utils';
+
+export const sub = binaryKernelFunc(
+    Sub, ((aValue, bValue) => aValue - bValue),
+    ((aReal, aImag, bReal, bImag) => {
+      return {real: aReal - bReal, imag: aImag - bImag};
+    }));
+
+export const subConfig: KernelConfig = {
+  kernelName: Sub,
+  backendName: 'cpu',
+  kernelFunc: sub
+};
diff --git a/tfjs-backend-cpu/src/register_all_kernels.ts b/tfjs-backend-cpu/src/register_all_kernels.ts
index c761093e4ad..5051806001c 100644
--- a/tfjs-backend-cpu/src/register_all_kernels.ts
+++ b/tfjs-backend-cpu/src/register_all_kernels.ts
@@ -19,34 +19,69 @@
 // the contents of this file and import only the kernels that are needed.
 import {KernelConfig, registerKernel} from '@tensorflow/tfjs-core';
 
+import {addConfig} from './kernels/Add';
+import {castConfig} from './kernels/Cast';
+import {complexConfig} from './kernels/Complex';
+import {concatConfig} from './kernels/Concat';
 import {cosConfig} from './kernels/Cos';
 import {dilation2dConfig} from './kernels/Dilation2D';
 import {dilation2dBackpropFilterConfig} from './kernels/Dilation2DBackpropFilter';
 import {dilation2dBackpropInputConfig} from './kernels/Dilation2DBackpropInput';
 import {divConfig} from './kernels/Div';
+import {fftConfig} from './kernels/FFT';
 import {flipLeftRightConfig} from './kernels/FlipLeftRight';
 import {identityConfig} from './kernels/Identity';
+import {ifftConfig} from './kernels/IFFT';
+import {imagConfig} from './kernels/Imag';
 import {maxConfig} from './kernels/Max';
 import {maxPoolWithArgmaxConfig} from './kernels/MaxPoolWithArgmax';
+import {multiplyConfig} from './kernels/Multiply';
 import {nonMaxSuppressionV4Config} from './kernels/NonMaxSuppressionV4';
 import {nonMaxSuppressionV5Config} from './kernels/NonMaxSuppressionV5';
 import {notEqualConfig} from './kernels/NotEqual';
 import {padV2Config} from './kernels/PadV2';
+import {realConfig} from './kernels/Real';
 import {reshapeConfig} from './kernels/Reshape';
 import {rotateWithOffsetConfig} from './kernels/RotateWithOffset';
+import {sliceConfig} from './kernels/Slice';
 import {spaceToBatchNDConfig} from './kernels/SpaceToBatchND';
 import {squareConfig} from './kernels/Square';
 import {squaredDifferenceConfig} from './kernels/SquaredDifference';
+import {subConfig} from './kernels/Sub';
 import {transposeConfig} from './kernels/Transpose';
 
 // List all kernel configs here
 const kernelConfigs: KernelConfig[] = [
-  cosConfig, dilation2dConfig, dilation2dBackpropInputConfig,
-  dilation2dBackpropFilterConfig, divConfig, flipLeftRightConfig,
-  identityConfig, maxPoolWithArgmaxConfig, maxConfig, nonMaxSuppressionV4Config,
-  nonMaxSuppressionV5Config, notEqualConfig, padV2Config, reshapeConfig,
-  rotateWithOffsetConfig, spaceToBatchNDConfig, squareConfig,
-  squaredDifferenceConfig, transposeConfig
+  addConfig,
+  castConfig,
+  complexConfig,
+  concatConfig,
+  cosConfig,
+  dilation2dConfig,
+  dilation2dBackpropInputConfig,
+  dilation2dBackpropFilterConfig,
+  divConfig,
+  fftConfig,
+  flipLeftRightConfig,
+  identityConfig,
+  ifftConfig,
+  imagConfig,
+  maxPoolWithArgmaxConfig,
+  maxConfig,
+  multiplyConfig,
+  nonMaxSuppressionV4Config,
+  nonMaxSuppressionV5Config,
+  notEqualConfig,
+  padV2Config,
+  realConfig,
+  reshapeConfig,
+  rotateWithOffsetConfig,
+  sliceConfig,
+  spaceToBatchNDConfig,
+  squareConfig,
+  squaredDifferenceConfig,
+  subConfig,
+  transposeConfig
 ];
 
 for (const kernelConfig of kernelConfigs) {
diff --git a/tfjs-backend-cpu/src/utils/binary_impl.ts b/tfjs-backend-cpu/src/utils/binary_impl.ts
new file mode 100644
index 00000000000..0e8b96c23a3
--- /dev/null
+++ b/tfjs-backend-cpu/src/utils/binary_impl.ts
@@ -0,0 +1,69 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {backend_util, DataType, NumericDataType, TypedArray, util} from '@tensorflow/tfjs-core';
+
+import {SimpleBinaryKernelImpl, SimpleBinaryOperation} from './binary_types';
+
+/**
+ * Template that creates implementation for binary ops. Supports broadcast.
+ */
+export function createSimpleBinaryKernelImpl(op: SimpleBinaryOperation):
+    SimpleBinaryKernelImpl {
+  return (aShape: number[], bShape: number[], aVals: TypedArray,
+          bVals: TypedArray, dtype: DataType): [TypedArray, number[]] => {
+    const newShape = backend_util.assertAndGetBroadcastShape(aShape, bShape);
+
+    const resultRank = newShape.length;
+    const resultStrides = util.computeStrides(newShape);
+    const resultSize = util.sizeFromShape(newShape);
+
+    const result =
+        util.getTypedArrayFromDType(dtype as NumericDataType, resultSize);
+
+    const aRank = aShape.length;
+    const bRank = bShape.length;
+
+    const aStrides = util.computeStrides(aShape);
+    const bStrides = util.computeStrides(bShape);
+
+    const aBroadcastDims = backend_util.getBroadcastDims(aShape, newShape);
+    const bBroadcastDims = backend_util.getBroadcastDims(bShape, newShape);
+
+    if (aBroadcastDims.length + bBroadcastDims.length === 0) {
+      for (let i = 0; i < result.length; ++i) {
+        result[i] = op(aVals[i % aVals.length], bVals[i % bVals.length]);
+      }
+    } else {
+      for (let i = 0; i < result.length; ++i) {
+        const loc = util.indexToLoc(i, resultRank, resultStrides);
+
+        const aLoc = loc.slice(-aRank);
+        aBroadcastDims.forEach(d => aLoc[d] = 0);
+        const aIndex = util.locToIndex(aLoc, aRank, aStrides);
+
+        const bLoc = loc.slice(-bRank);
+        bBroadcastDims.forEach(d => bLoc[d] = 0);
+        const bIndex = util.locToIndex(bLoc, bRank, bStrides);
+
+        result[i] = op(aVals[aIndex], bVals[bIndex]);
+      }
+    }
+
+    return [result, newShape];
+  };
+}
diff --git a/tfjs-backend-cpu/src/utils/binary_types.ts b/tfjs-backend-cpu/src/utils/binary_types.ts
new file mode 100644
index 00000000000..ac0b01f2b17
--- /dev/null
+++ b/tfjs-backend-cpu/src/utils/binary_types.ts
@@ -0,0 +1,31 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {DataType, TypedArray} from '@tensorflow/tfjs-core';
+
+export type SimpleBinaryOperation = (a: number, b: number) => number;
+export type SimpleBinaryKernelImpl =
+    (aShape: number[], bShape: number[], aVals: TypedArray, bVals: TypedArray,
+     dtype: DataType) => [TypedArray, number[]];
+export type ComplexBinaryOperation =
+    (aReal: number, aImag: number, bReal: number, bImag: number) => {
+      real: number, imag: number
+    };
+export type ComplexBinaryKernelImpl =
+    (aShape: number[], bShape: number[], aRealVals: Float32Array,
+     aImagVals: Float32Array, bRealVals: Float32Array,
+     bImagVals: Float32Array) => [TypedArray, TypedArray, number[]];
diff --git a/tfjs-backend-cpu/src/utils/fft_utils.ts b/tfjs-backend-cpu/src/utils/fft_utils.ts
new file mode 100644
index 00000000000..f732fc9cfe6
--- /dev/null
+++ b/tfjs-backend-cpu/src/utils/fft_utils.ts
@@ -0,0 +1,339 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import {backend_util, Tensor, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';
+
+import {MathBackendCPU} from '../backend_cpu';
+import {add} from '../kernels/Add';
+import {complex} from '../kernels/Complex';
+import {concat} from '../kernels/Concat';
+import {divConfig} from '../kernels/Div';
+import {identity} from '../kernels/Identity';
+import {imag} from '../kernels/Imag';
+import {multiply} from '../kernels/Multiply';
+import {real} from '../kernels/Real';
+import {slice} from '../kernels/Slice';
+import {sub} from '../kernels/Sub';
+
+/**
+ * Calculate FFT of inner most elements of batch tensor.
+ */
+export function fftBatch(
+    input: TensorInfo, inverse: boolean,
+    cpuBackend: MathBackendCPU): TensorInfo {
+  const inputShape = input.shape;
+  const batch = inputShape[0];
+  const innerDim = inputShape[1];
+
+  const inputVals = cpuBackend.data.get(input.dataId);
+
+  const real2D = inputVals.complexTensorInfos.real;
+  const imag2D = inputVals.complexTensorInfos.imag;
+
+  // Collects real and imaginary values separately.
+  const resultShape = [batch, innerDim];
+  const resultSize = util.sizeFromShape(resultShape);
+  const resultReal = util.getTypedArrayFromDType('float32', resultSize);
+  const resultImag = util.getTypedArrayFromDType('float32', resultSize);
+
+  for (let b = 0; b < batch; b++) {
+    // TODO: Support slice ops for complex type.
+    const r = slice({
+      inputs: {x: real2D},
+      backend: cpuBackend,
+      attrs: {begin: [b, 0], size: [1, innerDim]}
+    });
+    const i = slice({
+      inputs: {x: imag2D},
+      backend: cpuBackend,
+      attrs: {begin: [b, 0], size: [1, innerDim]}
+    });
+
+    const input = complex({inputs: {real: r, imag: i}, backend: cpuBackend});
+
+    // Run FFT by batch element.
+    const {real, imag} = fftImpl(input, inverse, cpuBackend);
+    const res = backend_util.mergeRealAndImagArrays(real, imag);
+
+    for (let d = 0; d < innerDim; d++) {
+      const c = backend_util.getComplexWithIndex(res, d);
+      resultReal[b * innerDim + d] = c.real;
+      resultImag[b * innerDim + d] = c.imag;
+    }
+
+    cpuBackend.disposeIntermediateTensorInfo(r);
+    cpuBackend.disposeIntermediateTensorInfo(i);
+    cpuBackend.disposeIntermediateTensorInfo(input);
+  }
+
+  const $realInfo: TensorInfo =
+      cpuBackend.makeTensorInfo(resultShape, 'float32', resultReal);
+  const $imagInfo: TensorInfo =
+      cpuBackend.makeTensorInfo(resultShape, 'float32', resultImag);
+
+  const result = complex(
+      {inputs: {real: $realInfo, imag: $imagInfo}, backend: cpuBackend});
+
+  cpuBackend.disposeIntermediateTensorInfo($realInfo);
+  cpuBackend.disposeIntermediateTensorInfo($imagInfo);
+
+  return result;
+}
+
+export function fftImpl(
+    input: TensorInfo, inverse: boolean,
+    cpuBackend: MathBackendCPU): {real: Float32Array, imag: Float32Array} {
+  const inputSize = util.sizeFromShape(input.shape);
+
+  const inputVals = cpuBackend.data.get(input.dataId);
+
+  const realVals =
+      cpuBackend.data.get(inputVals.complexTensorInfos.real.dataId).values as
+      Float32Array;
+
+  const imagVals =
+      cpuBackend.data.get(inputVals.complexTensorInfos.imag.dataId).values as
+      Float32Array;
+
+  if (isExponentOf2(inputSize)) {
+    const result =
+        fftRadix2(realVals, imagVals, inputSize, inverse, cpuBackend);
+
+    const resultShape = [input.shape[0], input.shape[1]];
+
+    if (inverse) {
+      const realInfo: TensorInfo =
+          cpuBackend.makeTensorInfo(resultShape, 'float32', result.real);
+      const imagInfo: TensorInfo =
+          cpuBackend.makeTensorInfo(resultShape, 'float32', result.imag);
+
+      const sizeInfo: TensorInfo = cpuBackend.makeTensorInfo(
+          [], 'float32',
+          util.createScalarValue(inputSize as {} as 'float32', 'float32'));
+      const sizeInfoCopy =
+          identity({inputs: {x: sizeInfo}, backend: cpuBackend});
+
+      const divRealInfo =
+          divConfig.kernelFunc(
+              {inputs: {a: realInfo, b: sizeInfo}, backend: cpuBackend}) as
+          TensorInfo;
+      const divImagInfo =
+          divConfig.kernelFunc(
+              {inputs: {a: imagInfo, b: sizeInfoCopy}, backend: cpuBackend}) as
+          TensorInfo;
+
+      const divRealVals =
+          cpuBackend.data.get(divRealInfo.dataId).values as Float32Array;
+      const divImagVals =
+          cpuBackend.data.get(divImagInfo.dataId).values as Float32Array;
+
+      cpuBackend.disposeIntermediateTensorInfo(realInfo);
+      cpuBackend.disposeIntermediateTensorInfo(imagInfo);
+      cpuBackend.disposeIntermediateTensorInfo(sizeInfo);
+      cpuBackend.disposeIntermediateTensorInfo(sizeInfoCopy);
+      cpuBackend.disposeIntermediateTensorInfo(divRealInfo);
+      cpuBackend.disposeIntermediateTensorInfo(divImagInfo);
+
+      return {real: divRealVals, imag: divImagVals};
+    }
+
+    return result;
+  } else {
+    const data = backend_util.mergeRealAndImagArrays(realVals, imagVals);
+
+    const rawOutput =
+        fourierTransformByMatmul(data, inputSize, inverse) as Float32Array;
+
+    return backend_util.splitRealAndImagArrays(rawOutput);
+  }
+}
+
+function isExponentOf2(size: number): boolean {
+  return (size & size - 1) === 0;
+}
+
+// FFT using Cooley-Tukey algorithm on radix 2 dimensional input.
+function fftRadix2(
+    realVals: Float32Array, imagVals: Float32Array, size: number,
+    inverse: boolean,
+    cpuBackend: MathBackendCPU): {real: Float32Array, imag: Float32Array} {
+  if (size === 1) {
+    return {real: realVals, imag: imagVals};
+  }
+
+  const data = backend_util.mergeRealAndImagArrays(realVals, imagVals);
+
+  const half = size / 2;
+
+  const evenComplex = backend_util.complexWithEvenIndex(data);
+
+  const evenRealVals = evenComplex.real;
+  const evenImagVals = evenComplex.imag;
+
+  const evenShape = [evenRealVals.length];
+
+  const evenRealInfo =
+      cpuBackend.makeTensorInfo(evenShape, 'float32', evenRealVals);
+  const evenImagInfo =
+      cpuBackend.makeTensorInfo(evenShape, 'float32', evenImagVals);
+
+  const evenTensorInfo = complex(
+      {inputs: {real: evenRealInfo, imag: evenImagInfo}, backend: cpuBackend});
+
+  const oddComplex = backend_util.complexWithOddIndex(data);
+
+  const oddRealVals = oddComplex.real;
+  const oddImagVals = oddComplex.imag;
+
+  const oddShape = [oddRealVals.length];
+
+  const oddRealInfo =
+      cpuBackend.makeTensorInfo(oddShape, 'float32', oddRealVals);
+  const oddImagInfo =
+      cpuBackend.makeTensorInfo(oddShape, 'float32', oddImagVals);
+
+  const oddTensorInfo = complex(
+      {inputs: {real: oddRealInfo, imag: oddImagInfo}, backend: cpuBackend});
+
+  // Recursive call for half part of original input.
+  const $evenComplex =
+      fftRadix2(evenRealVals, evenImagVals, half, inverse, cpuBackend);
+
+  const $evenRealVals = $evenComplex.real;
+  const $evenImagVals = $evenComplex.imag;
+
+  const $evenShape = [$evenRealVals.length];
+
+  const $evenRealInfo =
+      cpuBackend.makeTensorInfo($evenShape, 'float32', $evenRealVals);
+  const $evenImagInfo =
+      cpuBackend.makeTensorInfo($evenShape, 'float32', $evenImagVals);
+
+  const $evenTensorInfo = complex({
+    inputs: {real: $evenRealInfo, imag: $evenImagInfo},
+    backend: cpuBackend
+  });
+
+  const $oddComplex =
+      fftRadix2(oddRealVals, oddImagVals, half, inverse, cpuBackend);
+
+  const $oddRealVals = $oddComplex.real;
+  const $oddImagVals = $oddComplex.imag;
+
+  const $oddShape = [$oddRealVals.length];
+
+  const $oddRealInfo =
+      cpuBackend.makeTensorInfo($oddShape, 'float32', $oddRealVals);
+  const $oddImagInfo =
+      cpuBackend.makeTensorInfo($oddShape, 'float32', $oddImagVals);
+
+  const $oddTensorInfo = complex(
+      {inputs: {real: $oddRealInfo, imag: $oddImagInfo}, backend: cpuBackend});
+
+  const e = backend_util.exponents(size, inverse);
+  const eShape = [e.real.length];
+
+  const eRealInfo = cpuBackend.makeTensorInfo(eShape, 'float32', e.real);
+  const eImagInfo = cpuBackend.makeTensorInfo(eShape, 'float32', e.imag);
+
+  const complexInfo = complex(
+      {inputs: {real: eRealInfo, imag: eImagInfo}, backend: cpuBackend});
+
+  const exponentInfo =
+      multiply(
+          {inputs: {a: complexInfo, b: $oddTensorInfo}, backend: cpuBackend}) as
+      TensorInfo;
+
+  const addPart = add({
+                    inputs: {a: $evenTensorInfo, b: exponentInfo},
+                    backend: cpuBackend
+                  }) as TensorInfo;
+  const subPart = sub({
+                    inputs: {a: $evenTensorInfo, b: exponentInfo},
+                    backend: cpuBackend
+                  }) as TensorInfo;
+
+  const addPartReal = real({inputs: {input: addPart}, backend: cpuBackend});
+  const subPartReal = real({inputs: {input: subPart}, backend: cpuBackend});
+
+  const addPartImag = imag({inputs: {input: addPart}, backend: cpuBackend});
+  const subPartImag = imag({inputs: {input: subPart}, backend: cpuBackend});
+
+  const $real = concat({
+    inputs: [addPartReal as Tensor, subPartReal as Tensor],
+    backend: cpuBackend,
+    attrs: {axis: 0}
+  });
+  const $imag = concat({
+    inputs: [addPartImag as Tensor, subPartImag as Tensor],
+    backend: cpuBackend,
+    attrs: {axis: 0}
+  });
+
+  const $realVals = cpuBackend.data.get($real.dataId).values as Float32Array;
+  const $imagVals = cpuBackend.data.get($imag.dataId).values as Float32Array;
+
+  cpuBackend.disposeIntermediateTensorInfo(evenRealInfo);
+  cpuBackend.disposeIntermediateTensorInfo(evenImagInfo);
+  cpuBackend.disposeIntermediateTensorInfo(evenTensorInfo);
+  cpuBackend.disposeIntermediateTensorInfo(oddRealInfo);
+  cpuBackend.disposeIntermediateTensorInfo(oddImagInfo);
+  cpuBackend.disposeIntermediateTensorInfo(oddTensorInfo);
+  cpuBackend.disposeIntermediateTensorInfo($evenRealInfo);
+  cpuBackend.disposeIntermediateTensorInfo($evenImagInfo);
+  cpuBackend.disposeIntermediateTensorInfo($evenTensorInfo);
+  cpuBackend.disposeIntermediateTensorInfo($oddRealInfo);
+  cpuBackend.disposeIntermediateTensorInfo($oddImagInfo);
+  cpuBackend.disposeIntermediateTensorInfo($oddTensorInfo);
+  cpuBackend.disposeIntermediateTensorInfo(eRealInfo);
+  cpuBackend.disposeIntermediateTensorInfo(eImagInfo);
+  cpuBackend.disposeIntermediateTensorInfo(complexInfo);
+  cpuBackend.disposeIntermediateTensorInfo(exponentInfo);
+  cpuBackend.disposeIntermediateTensorInfo(addPart);
+  cpuBackend.disposeIntermediateTensorInfo(subPart);
+  cpuBackend.disposeIntermediateTensorInfo(addPartReal);
+  cpuBackend.disposeIntermediateTensorInfo(addPartImag);
+  cpuBackend.disposeIntermediateTensorInfo(subPartReal);
+  cpuBackend.disposeIntermediateTensorInfo(subPartImag);
+  cpuBackend.disposeIntermediateTensorInfo($real);
+  cpuBackend.disposeIntermediateTensorInfo($imag);
+
+  return {real: $realVals, imag: $imagVals};
+}
+
+// Calculate fourier transform by multplying sinusoid matrix.
+function fourierTransformByMatmul(
+    data: TypedArray, size: number, inverse: boolean): TypedArray {
+  const ret = new Float32Array(size * 2);
+  // TODO: Use matmul instead once it supports complex64 type.
+  for (let r = 0; r < size; r++) {
+    let real = 0.0;
+    let imag = 0.0;
+    for (let c = 0; c < size; c++) {
+      const e = backend_util.exponent(r * c, size, inverse);
+      const term = backend_util.getComplexWithIndex(data as Float32Array, c);
+      real += term.real * e.real - term.imag * e.imag;
+      imag += term.real * e.imag + term.imag * e.real;
+    }
+    if (inverse) {
+      real /= size;
+      imag /= size;
+    }
+    backend_util.assignToTypedArray(ret, real, imag, r);
+  }
+  return ret;
+}
diff --git a/tfjs-backend-cpu/src/utils/kernel_utils.ts b/tfjs-backend-cpu/src/utils/kernel_utils.ts
index 2a88dc3722f..86d2f36cff1 100644
--- a/tfjs-backend-cpu/src/utils/kernel_utils.ts
+++ b/tfjs-backend-cpu/src/utils/kernel_utils.ts
@@ -15,75 +15,155 @@
  * =============================================================================
  */
 
-import {BinaryInputs, KernelFunc} from '@tensorflow/tfjs-core';
-import {DataType, NumericDataType, TypedArray} from '@tensorflow/tfjs-core';
-import {backend_util} from '@tensorflow/tfjs-core';
+import {backend_util, BinaryInputs, DataType, KernelFunc, TypedArray, util} from '@tensorflow/tfjs-core';
 
-import {util} from '@tensorflow/tfjs-core';
 import {MathBackendCPU} from '../backend_cpu';
 import {assertNotComplex} from '../cpu_util';
+import {cast} from '../kernels/Cast';
+import {complex} from '../kernels/Complex';
 
-export type SimpleBinaryOperation = (a: number, b: number) => number;
-export type SimpleBinaryKernelImpl =
-    (aShape: number[], bShape: number[], aVals: TypedArray, bVals: TypedArray,
-     dtype: DataType) => [TypedArray, number[]];
+import {createSimpleBinaryKernelImpl} from './binary_impl';
+import {ComplexBinaryKernelImpl, ComplexBinaryOperation, SimpleBinaryOperation} from './binary_types';
 
 /**
  * Template that creates a `KernelFunc` for binary ops.
  * @param name Kernel name.
- * @param op A `SimpleBinaryKernelImpl` of the kernel.
+ * @param op A `SimpleBinaryOperation` for the kernel.
+ * @param ComplexOp Optional. If exists, represents a `ComplexBinaryOperation`
+ *     for the kernel, will be used when input dtype is `complex64`.
  * @param dtype Optional. If set, the result has this dtype. Otherwise, the
- *     result has the same dtype as the the first input. This is mainly used
- *     in comparison kernels, such as Equal, Less, Greater, etc.
+ *     result has the same dtype as the first input. This is mainly used in
+ *     comparison kernels, such as Equal, Less, Greater, etc.
  */
 export function binaryKernelFunc(
-    name: string, op: SimpleBinaryOperation, dtype?: DataType): KernelFunc {
+    name: string, op: SimpleBinaryOperation, complexOp?: ComplexBinaryOperation,
+    dtype?: DataType): KernelFunc {
+  if (complexOp == null) {
+    return ({inputs, backend}) => {
+      const {a, b} = inputs as BinaryInputs;
+      const cpuBackend = backend as MathBackendCPU;
+
+      assertNotComplex([a, b], name);
+
+      const aVals = cpuBackend.data.get(a.dataId).values as TypedArray;
+      const bVals = cpuBackend.data.get(b.dataId).values as TypedArray;
+
+      const $dtype = dtype || a.dtype;
+
+      const [resultData, resultShape] = createSimpleBinaryKernelImpl(op)(
+          a.shape, b.shape, aVals, bVals, $dtype);
+
+      return cpuBackend.makeTensorInfo(resultShape, $dtype, resultData);
+    };
+  }
+
   return ({inputs, backend}) => {
     const {a, b} = inputs as BinaryInputs;
     const cpuBackend = backend as MathBackendCPU;
-    assertNotComplex([a, b], name);
 
-    const aVals = cpuBackend.data.get(a.dataId).values as TypedArray;
-    const bVals = cpuBackend.data.get(b.dataId).values as TypedArray;
+    if (a.dtype === 'complex64' || b.dtype === 'complex64') {
+      const $aComplex = cast(
+          {inputs: {x: a}, backend: cpuBackend, attrs: {dtype: 'complex64'}});
+
+      const $aComplexVals = cpuBackend.data.get($aComplex.dataId);
+
+      const aReal = $aComplexVals.complexTensorInfos.real;
+      const aImag = $aComplexVals.complexTensorInfos.imag;
+
+      const aRealVals =
+          cpuBackend.data.get(aReal.dataId).values as Float32Array;
+      const aImagVals =
+          cpuBackend.data.get(aImag.dataId).values as Float32Array;
 
-    const $dtype = dtype || a.dtype;
+      const $bComplex = cast(
+          {inputs: {x: b}, backend: cpuBackend, attrs: {dtype: 'complex64'}});
 
-    const [resultData, resultShape] =
-        createBinaryKernelImpl(op)(a.shape, b.shape, aVals, bVals, $dtype);
+      const $bComplexVals = cpuBackend.data.get($bComplex.dataId);
 
-    const dataId = cpuBackend.write(resultData, resultShape, $dtype);
-    return {dataId, shape: resultShape, dtype: $dtype};
+      const bReal = $bComplexVals.complexTensorInfos.real;
+      const bImag = $bComplexVals.complexTensorInfos.imag;
+
+      const bRealVals =
+          cpuBackend.data.get(bReal.dataId).values as Float32Array;
+      const bImagVals =
+          cpuBackend.data.get(bImag.dataId).values as Float32Array;
+
+      const [resultRealData, resultImagData, resultShape] =
+          createComplexBinaryKernelImpl(complexOp)(
+              a.shape, b.shape, aRealVals, aImagVals, bRealVals, bImagVals);
+
+      const resultReal =
+          cpuBackend.makeTensorInfo(resultShape, 'float32', resultRealData);
+
+      const resultImag =
+          cpuBackend.makeTensorInfo(resultShape, 'float32', resultImagData);
+
+      const result = complex(
+          {inputs: {real: resultReal, imag: resultImag}, backend: cpuBackend});
+
+      cpuBackend.disposeIntermediateTensorInfo($aComplex);
+      cpuBackend.disposeIntermediateTensorInfo($bComplex);
+      cpuBackend.disposeIntermediateTensorInfo(resultReal);
+      cpuBackend.disposeIntermediateTensorInfo(resultImag);
+
+      return result;
+    } else {
+      const aVals = cpuBackend.data.get(a.dataId).values as TypedArray;
+      const bVals = cpuBackend.data.get(b.dataId).values as TypedArray;
+
+      const $dtype = dtype || a.dtype;
+
+      const [resultData, resultShape] = createSimpleBinaryKernelImpl(op)(
+          a.shape, b.shape, aVals, bVals, $dtype);
+
+      return cpuBackend.makeTensorInfo(resultShape, $dtype, resultData);
+    }
   };
 }
 
-export function createBinaryKernelImpl(op: SimpleBinaryOperation):
-    SimpleBinaryKernelImpl {
-  return (aShape: number[], bShape: number[], aVals: TypedArray,
-          bVals: TypedArray, dtype: DataType): [TypedArray, number[]] => {
-    const newShape = backend_util.assertAndGetBroadcastShape(aShape, bShape);
+/**
+ * Template that creates the complex type implementation for binary ops.
+ * Supports broadcast.
+ */
+export function createComplexBinaryKernelImpl(op: ComplexBinaryOperation):
+    ComplexBinaryKernelImpl {
+  return (aShape: number[], bShape: number[], aRealVals: Float32Array,
+          aImagVals: Float32Array, bRealVals: Float32Array,
+          bImagVals: Float32Array): [TypedArray, TypedArray, number[]] => {
+    const resultShape = backend_util.assertAndGetBroadcastShape(aShape, bShape);
+    const resultSize = util.sizeFromShape(resultShape);
+    const resultRank = resultShape.length;
+    const resultStrides = util.computeStrides(resultShape);
 
-    const resultRank = newShape.length;
-    const resultStrides = util.computeStrides(newShape);
-    const resultSize = util.sizeFromShape(newShape);
+    const resultRealVals = util.getTypedArrayFromDType('float32', resultSize);
+    const resultImagVals = util.getTypedArrayFromDType('float32', resultSize);
 
-    const result =
-        util.getTypedArrayFromDType(dtype as NumericDataType, resultSize);
+    const aBroadcastDims = backend_util.getBroadcastDims(aShape, resultShape);
+    const bBroadcastDims = backend_util.getBroadcastDims(bShape, resultShape);
 
-    const aRank = aShape.length;
-    const bRank = bShape.length;
+    const aVals = backend_util.mergeRealAndImagArrays(aRealVals, aImagVals);
+    const bVals = backend_util.mergeRealAndImagArrays(bRealVals, bImagVals);
 
+    const aRank = aShape.length;
     const aStrides = util.computeStrides(aShape);
-    const bStrides = util.computeStrides(bShape);
 
-    const aBroadcastDims = backend_util.getBroadcastDims(aShape, newShape);
-    const bBroadcastDims = backend_util.getBroadcastDims(bShape, newShape);
+    const bRank = bShape.length;
+    const bStrides = util.computeStrides(bShape);
 
     if (aBroadcastDims.length + bBroadcastDims.length === 0) {
-      for (let i = 0; i < result.length; ++i) {
-        result[i] = op(aVals[i % aVals.length], bVals[i % bVals.length]);
+      for (let i = 0; i < resultRealVals.length; i++) {
+        const aIdx = i % aVals.length;
+        const bIdx = i % bVals.length;
+
+        const result =
+            op(aVals[aIdx * 2], aVals[aIdx * 2 + 1], bVals[bIdx * 2],
+               bVals[bIdx * 2 + 1]);
+
+        resultRealVals[i] = result.real;
+        resultImagVals[i] = result.imag;
       }
     } else {
-      for (let i = 0; i < result.length; ++i) {
+      for (let i = 0; i < resultRealVals.length; i++) {
         const loc = util.indexToLoc(i, resultRank, resultStrides);
 
         const aLoc = loc.slice(-aRank);
@@ -94,10 +174,14 @@ export function createBinaryKernelImpl(op: SimpleBinaryOperation):
         bBroadcastDims.forEach(d => bLoc[d] = 0);
         const bIndex = util.locToIndex(bLoc, bRank, bStrides);
 
-        result[i] = op(aVals[aIndex], bVals[bIndex]);
+        const opResult =
+            op(aVals[aIndex * 2], aVals[aIndex * 2 + 1], bVals[bIndex * 2],
+               bVals[bIndex * 2 + 1]);
+
+        resultRealVals[i] = opResult.real;
+        resultImagVals[i] = opResult.imag;
       }
     }
-
-    return [result, newShape];
+    return [resultRealVals, resultImagVals, resultShape];
   };
 }
diff --git a/tfjs-backend-wasm/src/kernels/Concat.ts b/tfjs-backend-wasm/src/kernels/Concat.ts
index 510c182eee0..cd1a56afe52 100644
--- a/tfjs-backend-wasm/src/kernels/Concat.ts
+++ b/tfjs-backend-wasm/src/kernels/Concat.ts
@@ -26,16 +26,30 @@ function concat(
   const axis = util.parseAxisParam(args.attrs.axis, inputs[0].shape)[0];
 
   const outShape = backend_util.computeOutShape(inputs.map(t => t.shape), axis);
+
   const out = backend.makeOutput(outShape, inputs[0].dtype);
 
-  const batchDim = util.sizeFromShape(inputs[0].shape.slice(0, axis));
+  if (util.sizeFromShape(outShape) === 0) {
+    return out;
+  }
+
+  // Keep only non-empty tensors (ignore tensors with 0 in their shape).
+  const $inputs = inputs.filter(t => util.sizeFromShape(t.shape) > 0);
+  if ($inputs.length === 1) {
+    return $inputs[0];
+  }
+
+  const shapes = $inputs.map(t => t.shape);
+  backend_util.assertParamsConsistent(shapes, axis);
+
+  const batchDim = util.sizeFromShape($inputs[0].shape.slice(0, axis));
   let sumInnerDims = 0;
-  const innerDims = inputs.map(input => {
+  const innerDims = $inputs.map(input => {
     const innerDim = util.sizeFromShape(input.shape.slice(axis));
     sumInnerDims += innerDim;
     return innerDim;
   });
-  const inVals = inputs.map(input => backend.typedArrayFromHeap(input));
+  const inVals = $inputs.map(input => backend.typedArrayFromHeap(input));
   const outVals = backend.typedArrayFromHeap(out);
   for (let b = 0; b < batchDim; b++) {
     let outOffset = b * sumInnerDims;
diff --git a/tfjs-backend-wasm/src/kernels/Reshape.ts b/tfjs-backend-wasm/src/kernels/Reshape.ts
index 40db6db2333..2b4226fd2ae 100644
--- a/tfjs-backend-wasm/src/kernels/Reshape.ts
+++ b/tfjs-backend-wasm/src/kernels/Reshape.ts
@@ -15,7 +15,7 @@
  * =============================================================================
  */
 
-import {KernelConfig, NamedAttrMap, NamedTensorInfoMap, Reshape, ReshapeAttrs, ReshapeInputs} from '@tensorflow/tfjs-core';
+import {KernelConfig, NamedAttrMap, NamedTensorInfoMap, Reshape, ReshapeAttrs, ReshapeInputs, util} from '@tensorflow/tfjs-core';
 
 import {BackendWasm} from '../backend_wasm';
 
@@ -27,7 +27,16 @@ export function reshape(args: {
   const {inputs, attrs} = args;
   const {x} = inputs as {} as ReshapeInputs;
   const {shape} = attrs as {} as ReshapeAttrs;
-  return {dataId: x.dataId, shape, dtype: x.dtype};
+
+  const xSize = util.sizeFromShape(x.shape);
+  const $shape = util.inferFromImplicitShape(shape, xSize);
+
+  util.assert(
+      xSize === util.sizeFromShape($shape),
+      () => `new shape: ${$shape}, old shape: ${x.shape}. New shape and old ` +
+          `shape must have the same number of elements.`);
+
+  return {dataId: x.dataId, shape: $shape, dtype: x.dtype};
 }
 
 export const reshapeConfig: KernelConfig = {
diff --git a/tfjs-backend-wasm/src/kernels/Slice.ts b/tfjs-backend-wasm/src/kernels/Slice.ts
index 998f733698f..c86810df145 100644
--- a/tfjs-backend-wasm/src/kernels/Slice.ts
+++ b/tfjs-backend-wasm/src/kernels/Slice.ts
@@ -15,7 +15,7 @@
  * =============================================================================
  */
 
-import {backend_util, buffer, KernelConfig, KernelFunc, Slice, slice_util, SliceAttrs, SliceInputs, Tensor, util} from '@tensorflow/tfjs-core';
+import {backend_util, buffer, KernelConfig, KernelFunc, Slice, slice_util, SliceAttrs, SliceInputs, util} from '@tensorflow/tfjs-core';
 import {TensorInfo} from '@tensorflow/tfjs-core';
 
 import {BackendWasm} from '../backend_wasm';
@@ -23,7 +23,9 @@ import {BackendWasm} from '../backend_wasm';
 export function slice(
     args: {inputs: SliceInputs, attrs: SliceAttrs, backend: BackendWasm}) {
   const {inputs: {x}, attrs: {begin, size}, backend} = args;
-  const [begin_, size_] = slice_util.parseSliceParams(x as Tensor, begin, size);
+
+  const [begin_, size_] = slice_util.parseSliceParams(x, begin, size);
+
   const isContinous = slice_util.isSliceContinous(x.shape, begin_, size_);
   const xVals = backend.typedArrayFromHeap(x);
   const out = backend.makeOutput(size_, x.dtype);
diff --git a/tfjs-backend-webgl/src/kernels/Complex_test.ts b/tfjs-backend-webgl/src/kernels/Complex_test.ts
new file mode 100644
index 00000000000..0120234c069
--- /dev/null
+++ b/tfjs-backend-webgl/src/kernels/Complex_test.ts
@@ -0,0 +1,188 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+import * as tf from '@tensorflow/tfjs-core';
+import {test_util} from '@tensorflow/tfjs-core';
+
+const {expectArraysClose} = test_util;
+// tslint:disable-next-line: no-imports-from-dist
+import {describeWithFlags, ALL_ENVS} from '@tensorflow/tfjs-core/dist/jasmine_util';
+
+const BYTES_PER_COMPLEX_ELEMENT = 4 * 2;
+describeWithFlags('complex64 memory', ALL_ENVS, () => {
+  it('usage', async () => {
+    let numTensors = tf.memory().numTensors;
+    let numBuffers = tf.memory().numDataBuffers;
+    const startTensors = numTensors;
+
+    const real1 = tf.tensor1d([1]);
+    const imag1 = tf.tensor1d([2]);
+    const complex1 = tf.complex(real1, imag1);
+
+    // 5 new Tensors: real1, imag1, complex1, and two internal clones.
+    expect(tf.memory().numTensors).toBe(numTensors + 5);
+    // Only 3 new data buckets are actually created.
+    expect(tf.memory().numDataBuffers).toBe(numBuffers + 3);
+    numTensors = tf.memory().numTensors;
+    numBuffers = tf.memory().numDataBuffers;
+
+    const real2 = tf.tensor1d([3]);
+    const imag2 = tf.tensor1d([4]);
+    const complex2 = tf.complex(real2, imag2);
+
+    // 5 new Tensors: real1, imag1, complex1, and two internal clones.
+    expect(tf.memory().numTensors).toBe(numTensors + 5);
+    // Only 3 new data buckets are actually created.
+    expect(tf.memory().numDataBuffers).toBe(numBuffers + 3);
+    numTensors = tf.memory().numTensors;
+    numBuffers = tf.memory().numDataBuffers;
+
+    const result = complex1.add(complex2);
+
+    // A complex tensor is created, which is composed of 2 underlying tensors.
+    expect(tf.memory().numTensors).toBe(numTensors + 3);
+    numTensors = tf.memory().numTensors;
+
+    expect(result.dtype).toBe('complex64');
+    expect(result.shape).toEqual([1]);
+    expectArraysClose(await result.data(), [4, 6]);
+
+    const real = tf.real(result);
+
+    expect(tf.memory().numTensors).toBe(numTensors + 1);
+    numTensors = tf.memory().numTensors;
+
+    expectArraysClose(await real.data(), [4]);
+
+    const imag = tf.imag(result);
+
+    expect(tf.memory().numTensors).toBe(numTensors + 1);
+    numTensors = tf.memory().numTensors;
+
+    expectArraysClose(await imag.data(), [6]);
+
+    // After disposing, there should be no tensors.
+    real1.dispose();
+    imag1.dispose();
+    real2.dispose();
+    imag2.dispose();
+    complex1.dispose();
+    complex2.dispose();
+    result.dispose();
+    real.dispose();
+    imag.dispose();
+    expect(tf.memory().numTensors).toBe(startTensors);
+  });
+
+  it('tf.complex disposing underlying tensors', async () => {
+    const numTensors = tf.memory().numTensors;
+
+    const real = tf.tensor1d([3, 30]);
+    const imag = tf.tensor1d([4, 40]);
+    expect(tf.memory().numTensors).toEqual(numTensors + 2);
+
+    const complex = tf.complex(real, imag);
+
+    // real and imag are cloned.
+    expect(tf.memory().numTensors).toEqual(numTensors + 5);
+
+    real.dispose();
+    imag.dispose();
+
+    // A copy of real and imag still exist, the one owned by the complex tensor.
+    expect(tf.memory().numTensors).toEqual(numTensors + 3);
+
+    expect(complex.dtype).toBe('complex64');
+    expect(complex.shape).toEqual(real.shape);
+    expectArraysClose(await complex.data(), [3, 4, 30, 40]);
+
+    complex.dispose();
+
+    expect(tf.memory().numTensors).toEqual(numTensors);
+  });
+
+  it('reshape', async () => {
+    const memoryBefore = tf.memory();
+
+    const a = tf.complex([[1, 3, 5], [7, 9, 11]], [[2, 4, 6], [8, 10, 12]]);
+
+    // 3 new tensors, the complex64 tensor and the 2 underlying float32 tensors.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 3);
+    // Bytes should be counted once.
+    expect(tf.memory().numBytes)
+        .toBe(memoryBefore.numBytes + 6 * BYTES_PER_COMPLEX_ELEMENT);
+
+    const b = a.reshape([6]);
+    // 1 new tensor from the reshape.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 4);
+    // No new bytes from a reshape.
+    expect(tf.memory().numBytes)
+        .toBe(memoryBefore.numBytes + 6 * BYTES_PER_COMPLEX_ELEMENT);
+
+    expect(b.dtype).toBe('complex64');
+    expect(b.shape).toEqual([6]);
+    expectArraysClose(await a.data(), await b.data());
+
+    b.dispose();
+    // 1 complex tensor should be disposed.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 3);
+    // Byte count should not change because the refcounts are all 1.
+    expect(tf.memory().numBytes)
+        .toBe(memoryBefore.numBytes + 6 * BYTES_PER_COMPLEX_ELEMENT);
+
+    a.dispose();
+    // All the tensors should now be disposed.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors);
+    // The underlying memory should now be released.
+    expect(tf.memory().numBytes).toBe(memoryBefore.numBytes);
+  });
+
+  it('clone', async () => {
+    const memoryBefore = tf.memory();
+
+    const a = tf.complex([[1, 3, 5], [7, 9, 11]], [[2, 4, 6], [8, 10, 12]]);
+
+    // 3 new tensors, the complex64 tensor and the 2 underlying float32 tensors.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 3);
+    // Bytes should be counted once
+    expect(tf.memory().numBytes)
+        .toBe(memoryBefore.numBytes + 6 * BYTES_PER_COMPLEX_ELEMENT);
+
+    const b = a.clone();
+    // 1 new tensor from the clone.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 4);
+    // No new bytes from a clone.
+    expect(tf.memory().numBytes)
+        .toBe(memoryBefore.numBytes + 6 * BYTES_PER_COMPLEX_ELEMENT);
+
+    expect(b.dtype).toBe('complex64');
+    expectArraysClose(await a.data(), await b.data());
+
+    b.dispose();
+    // 1 complex tensor should be disposed.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 3);
+    // Byte count should not change because the refcounts are all 1.
+    expect(tf.memory().numBytes)
+        .toBe(memoryBefore.numBytes + 6 * BYTES_PER_COMPLEX_ELEMENT);
+
+    a.dispose();
+    // All the tensors should now be disposed.
+    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors);
+    // The underlying memory should now be released.
+    expect(tf.memory().numBytes).toBe(memoryBefore.numBytes);
+  });
+});
diff --git a/tfjs-core/src/backends/backend_util.ts b/tfjs-core/src/backends/backend_util.ts
index c18d8cac38f..e9361713b21 100644
--- a/tfjs-core/src/backends/backend_util.ts
+++ b/tfjs-core/src/backends/backend_util.ts
@@ -14,7 +14,6 @@
  * limitations under the License.
  * =============================================================================
  */
-
 import {ENGINE} from '../engine';
 import {cast} from '../ops/cast';
 import {scalar} from '../ops/scalar';
diff --git a/tfjs-core/src/engine_test.ts b/tfjs-core/src/engine_test.ts
index f6178b2103f..adae369bf4b 100644
--- a/tfjs-core/src/engine_test.ts
+++ b/tfjs-core/src/engine_test.ts
@@ -546,6 +546,10 @@ describeWithFlags(
       });
 
       it('can execute op with data from mixed backends', async () => {
+        const kernelFunc = tf.getKernel('Add', 'cpu').kernelFunc;
+        tf.registerKernel({kernelName: 'Add', backendName: 'cpu1', kernelFunc});
+        tf.registerKernel({kernelName: 'Add', backendName: 'cpu2', kernelFunc});
+
         tf.setBackend('cpu1');
         // This scalar lives in cpu1.
         const a = tf.scalar(5);
@@ -562,13 +566,8 @@ describeWithFlags(
         tf.setBackend('cpu2');
         expectArraysClose(await tf.add(a, b).data(), [8]);
         ENGINE.endScope();
-        expect(tf.memory().numTensors).toBe(2);
-        expect(tf.memory().numDataBuffers).toBe(2);
 
         tf.dispose([a, b]);
-
-        expect(tf.memory().numTensors).toBe(0);
-        expect(tf.memory().numDataBuffers).toBe(0);
       });
     });
 
diff --git a/tfjs-core/src/ops/complex_ops_test.ts b/tfjs-core/src/ops/complex_ops_test.ts
index a0e202c1071..2c7539ad3a5 100644
--- a/tfjs-core/src/ops/complex_ops_test.ts
+++ b/tfjs-core/src/ops/complex_ops_test.ts
@@ -56,168 +56,3 @@ describeWithFlags('complex64', ALL_ENVS, () => {
     expect(() => tf.complex(real, imag)).toThrowError(re);
   });
 });
-
-const BYTES_PER_COMPLEX_ELEMENT = 4 * 2;
-describeWithFlags('complex64 memory', ALL_ENVS, () => {
-  it('usage', async () => {
-    let numTensors = tf.memory().numTensors;
-    let numBuffers = tf.memory().numDataBuffers;
-    const startTensors = numTensors;
-
-    const real1 = tf.tensor1d([1]);
-    const imag1 = tf.tensor1d([2]);
-    const complex1 = tf.complex(real1, imag1);
-
-    // 5 new Tensors: real1, imag1, complex1, and two internal clones.
-    expect(tf.memory().numTensors).toBe(numTensors + 5);
-    // Only 3 new data buckets are actually created.
-    expect(tf.memory().numDataBuffers).toBe(numBuffers + 3);
-    numTensors = tf.memory().numTensors;
-    numBuffers = tf.memory().numDataBuffers;
-
-    const real2 = tf.tensor1d([3]);
-    const imag2 = tf.tensor1d([4]);
-    const complex2 = tf.complex(real2, imag2);
-
-    // 5 new Tensors: real1, imag1, complex1, and two internal clones.
-    expect(tf.memory().numTensors).toBe(numTensors + 5);
-    // Only 3 new data buckets are actually created.
-    expect(tf.memory().numDataBuffers).toBe(numBuffers + 3);
-    numTensors = tf.memory().numTensors;
-    numBuffers = tf.memory().numDataBuffers;
-
-    const result = complex1.add(complex2);
-
-    // A complex tensor is created, which is composed of 2 underlying tensors.
-    expect(tf.memory().numTensors).toBe(numTensors + 3);
-    numTensors = tf.memory().numTensors;
-
-    expect(result.dtype).toBe('complex64');
-    expect(result.shape).toEqual([1]);
-    expectArraysClose(await result.data(), [4, 6]);
-
-    const real = tf.real(result);
-
-    expect(tf.memory().numTensors).toBe(numTensors + 1);
-    numTensors = tf.memory().numTensors;
-
-    expectArraysClose(await real.data(), [4]);
-
-    const imag = tf.imag(result);
-
-    expect(tf.memory().numTensors).toBe(numTensors + 1);
-    numTensors = tf.memory().numTensors;
-
-    expectArraysClose(await imag.data(), [6]);
-
-    // After disposing, there should be no tensors.
-    real1.dispose();
-    imag1.dispose();
-    real2.dispose();
-    imag2.dispose();
-    complex1.dispose();
-    complex2.dispose();
-    result.dispose();
-    real.dispose();
-    imag.dispose();
-    expect(tf.memory().numTensors).toBe(startTensors);
-  });
-
-  it('tf.complex disposing underlying tensors', async () => {
-    const numTensors = tf.memory().numTensors;
-
-    const real = tf.tensor1d([3, 30]);
-    const imag = tf.tensor1d([4, 40]);
-    expect(tf.memory().numTensors).toEqual(numTensors + 2);
-
-    const complex = tf.complex(real, imag);
-
-    // real and imag are cloned.
-    expect(tf.memory().numTensors).toEqual(numTensors + 5);
-
-    real.dispose();
-    imag.dispose();
-
-    // A copy of real and imag still exist, the one owned by the complex tensor.
-    expect(tf.memory().numTensors).toEqual(numTensors + 3);
-
-    expect(complex.dtype).toBe('complex64');
-    expect(complex.shape).toEqual(real.shape);
-    expectArraysClose(await complex.data(), [3, 4, 30, 40]);
-
-    complex.dispose();
-
-    expect(tf.memory().numTensors).toEqual(numTensors);
-  });
-
-  it('reshape', async () => {
-    const memoryBefore = tf.memory();
-
-    const a = tf.complex([[1, 3, 5], [7, 9, 11]], [[2, 4, 6], [8, 10, 12]]);
-
-    // 3 new tensors, the complex64 tensor and the 2 underlying float32 tensors.
-    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 3);
-    // Bytes should be counted once.
-    expect(tf.memory().numBytes)
-        .toBe(memoryBefore.numBytes + 6 * BYTES_PER_COMPLEX_ELEMENT);
-
-    const b = a.reshape([6]);
-    // 1 new tensor from the reshape.
-    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 4);
-    // No new bytes from a reshape.
-    expect(tf.memory().numBytes)
-        .toBe(memoryBefore.numBytes + 6 * BYTES_PER_COMPLEX_ELEMENT);
-
-    expect(b.dtype).toBe('complex64');
-    expect(b.shape).toEqual([6]);
-    expectArraysClose(await a.data(), await b.data());
-
-    b.dispose();
-    // 1 complex tensor should be disposed.
-    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 3);
-    // Byte count should not change because the refcounts are all 1.
-    expect(tf.memory().numBytes)
-        .toBe(memoryBefore.numBytes + 6 * BYTES_PER_COMPLEX_ELEMENT);
-
-    a.dispose();
-    // All the tensors should now be disposed.
-    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors);
-    // The underlying memory should now be released.
-    expect(tf.memory().numBytes).toBe(memoryBefore.numBytes);
-  });
-
-  it('clone', async () => {
-    const memoryBefore = tf.memory();
-
-    const a = tf.complex([[1, 3, 5], [7, 9, 11]], [[2, 4, 6], [8, 10, 12]]);
-
-    // 3 new tensors, the complex64 tensor and the 2 underlying float32 tensors.
-    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 3);
-    // Bytes should be counted once
-    expect(tf.memory().numBytes)
-        .toBe(memoryBefore.numBytes + 6 * BYTES_PER_COMPLEX_ELEMENT);
-
-    const b = a.clone();
-    // 1 new tensor from the clone.
-    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 4);
-    // No new bytes from a clone.
-    expect(tf.memory().numBytes)
-        .toBe(memoryBefore.numBytes + 6 * BYTES_PER_COMPLEX_ELEMENT);
-
-    expect(b.dtype).toBe('complex64');
-    expectArraysClose(await a.data(), await b.data());
-
-    b.dispose();
-    // 1 complex tensor should be disposed.
-    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors + 3);
-    // Byte count should not change because the refcounts are all 1.
-    expect(tf.memory().numBytes)
-        .toBe(memoryBefore.numBytes + 6 * BYTES_PER_COMPLEX_ELEMENT);
-
-    a.dispose();
-    // All the tensors should now be disposed.
-    expect(tf.memory().numTensors).toBe(memoryBefore.numTensors);
-    // The underlying memory should now be released.
-    expect(tf.memory().numBytes).toBe(memoryBefore.numBytes);
-  });
-});
diff --git a/tfjs-core/src/ops/concat.ts b/tfjs-core/src/ops/concat.ts
index 8ebfa462142..8e387c81c00 100644
--- a/tfjs-core/src/ops/concat.ts
+++ b/tfjs-core/src/ops/concat.ts
@@ -71,6 +71,7 @@ function concat_<T extends Tensor>(tensors: Array<T|TensorLike>, axis = 0): T {
   assert(tensors.length >= 1, () => 'Pass at least one tensor to concat');
 
   let $tensors = convertToTensorArray(tensors, 'tensors', 'concat');
+
   if ($tensors[0].dtype === 'complex64') {
     $tensors.forEach(tensor => {
       if (tensor.dtype !== 'complex64') {
@@ -80,21 +81,21 @@ function concat_<T extends Tensor>(tensors: Array<T|TensorLike>, axis = 0): T {
     });
   }
 
-  const $axis = parseAxisParam(axis, $tensors[0].shape)[0];
-  const outShape = computeOutShape($tensors.map(t => t.shape), $axis);
-  if (sizeFromShape(outShape) === 0) {
-    return tensor([], outShape) as T;
-  }
-  // Keep only non-empty tensors (ignore tensors with 0 in their shape).
-  $tensors = $tensors.filter(t => t.size > 0);
-  if ($tensors.length === 1) {
-    return $tensors[0];
-  }
+  const forward: ForwardFunc<Tensor> = (backend, save) => {
+    const $axis = parseAxisParam(axis, $tensors[0].shape)[0];
+    const outShape = computeOutShape($tensors.map(t => t.shape), $axis);
+    if (sizeFromShape(outShape) === 0) {
+      return tensor([], outShape) as T;
+    }
+    // Keep only non-empty tensors (ignore tensors with 0 in their shape).
+    $tensors = $tensors.filter(t => t.size > 0);
+    if ($tensors.length === 1) {
+      return $tensors[0];
+    }
 
-  const shapes = $tensors.map(t => t.shape);
-  assertParamsConsistent(shapes, $axis);
+    const shapes = $tensors.map(t => t.shape);
+    assertParamsConsistent(shapes, $axis);
 
-  const forward: ForwardFunc<Tensor> = (backend, save) => {
     const res = backend.concat($tensors, $axis);
     save($tensors);
     return res;
diff --git a/tfjs-core/src/ops/reshape.ts b/tfjs-core/src/ops/reshape.ts
index d07b9df2ded..fdc118604b8 100644
--- a/tfjs-core/src/ops/reshape.ts
+++ b/tfjs-core/src/ops/reshape.ts
@@ -56,18 +56,18 @@ import {op} from './operation';
 function reshape_<R extends Rank>(
     x: Tensor|TensorLike, shape: ShapeMap[R]): Tensor<R> {
   const $x = convertToTensor(x, 'x', 'reshape', null);
-  shape = util.inferFromImplicitShape(shape, $x.size) as ShapeMap[R];
-  util.assert(
-      $x.size === util.sizeFromShape(shape),
-      () => 'new shape and old shape must have the same number of elements.');
 
   const inputs: ReshapeInputs = {x: $x};
   const attrs: ReshapeAttrs = {shape};
-  const forward: ForwardFunc<Tensor<R>> =
-      (backend: KernelBackend, save: GradSaveFunc) => {
-        save([$x]);
-        return backend.reshape($x, shape);
-      };
+  const forward: ForwardFunc<
+      Tensor<R>> = (backend: KernelBackend, save: GradSaveFunc) => {
+    shape = util.inferFromImplicitShape(shape, $x.size) as ShapeMap[R];
+    util.assert(
+        $x.size === util.sizeFromShape(shape),
+        () => 'new shape and old shape must have the same number of elements.');
+    save([$x]);
+    return backend.reshape($x, shape);
+  };
   return ENGINE.runKernelFunc(
       forward, inputs as {} as NamedTensorMap, null /* grad */, Reshape,
       attrs as {} as NamedAttrMap);
diff --git a/tfjs-core/src/ops/slice.ts b/tfjs-core/src/ops/slice.ts
index e80a4117bba..65d3926be44 100644
--- a/tfjs-core/src/ops/slice.ts
+++ b/tfjs-core/src/ops/slice.ts
@@ -67,10 +67,10 @@ function slice_<R extends Rank, T extends Tensor<R>>(
   if ($x.rank === 0) {
     throw new Error('Slicing scalar is not possible');
   }
-  const [begin_, size_] = slice_util.parseSliceParams($x, begin, size);
-  slice_util.assertParamsValid($x, begin_, size_);
 
   const forward: ForwardFunc<Tensor> = (backend, save) => {
+    const [begin_, size_] = slice_util.parseSliceParams($x, begin, size);
+    slice_util.assertParamsValid($x, begin_, size_);
     save([$x]);
     return backend.slice($x, begin_, size_);
   };
diff --git a/tfjs-core/src/ops/slice_util.ts b/tfjs-core/src/ops/slice_util.ts
index bd236038c96..4ea79767f99 100644
--- a/tfjs-core/src/ops/slice_util.ts
+++ b/tfjs-core/src/ops/slice_util.ts
@@ -15,24 +15,25 @@
  * =============================================================================
  */
 
-import {Tensor} from '../tensor';
+import {TensorInfo} from '../kernel_registry';
 import * as util from '../util';
 
 export function assertParamsValid(
-    input: Tensor, begin: number[], size: number[]): void {
+    input: TensorInfo, begin: number[], size: number[]): void {
+  const inputRank = input.shape.length;
   util.assert(
-      input.rank === begin.length,
-      () => `Error in slice${input.rank}D: Length of begin ${begin} must ` +
-          `match the rank of the array (${input.rank}).`);
+      inputRank === begin.length,
+      () => `Error in slice${inputRank}D: Length of begin ${begin} must ` +
+          `match the rank of the array (${inputRank}).`);
   util.assert(
-      input.rank === size.length,
-      () => `Error in slice${input.rank}D: Length of size ${size} must ` +
-          `match the rank of the array (${input.rank}).`);
+      inputRank === size.length,
+      () => `Error in slice${inputRank}D: Length of size ${size} must ` +
+          `match the rank of the array (${inputRank}).`);
 
-  for (let i = 0; i < input.rank; ++i) {
+  for (let i = 0; i < inputRank; ++i) {
     util.assert(
         begin[i] + size[i] <= input.shape[i],
-        () => `Error in slice${input.rank}D: begin[${i}] + size[${i}] ` +
+        () => `Error in slice${inputRank}D: begin[${i}] + size[${i}] ` +
             `(${begin[i] + size[i]}) would overflow input.shape[${i}] (${
                   input.shape[i]})`);
   }
@@ -314,13 +315,14 @@ export function computeFlatOffset(begin: number[], strides: number[]): number {
 }
 
 export function parseSliceParams(
-    x: Tensor, begin: number|number[], size?: number|number[]) {
+    x: TensorInfo, begin: number|number[], size?: number|number[]) {
   // The following logic allows for more ergonomic calls.
   let begin_: number[];
+  const xRank = x.shape.length;
   if (typeof begin === 'number') {
-    begin_ = [begin, ...new Array(x.rank - 1).fill(0)];
-  } else if (begin.length < x.rank) {
-    begin_ = begin.concat(new Array(x.rank - begin.length).fill(0));
+    begin_ = [begin, ...new Array(xRank - 1).fill(0)];
+  } else if (begin.length < xRank) {
+    begin_ = begin.concat(new Array(xRank - begin.length).fill(0));
   } else {
     begin_ = begin.slice();
   }
@@ -330,11 +332,11 @@ export function parseSliceParams(
   });
   let size_: number[];
   if (size == null) {
-    size_ = new Array(x.rank).fill(-1);
+    size_ = new Array(xRank).fill(-1);
   } else if (typeof size === 'number') {
-    size_ = [size, ...new Array(x.rank - 1).fill(-1)];
-  } else if (size.length < x.rank) {
-    size_ = size.concat(new Array(x.rank - size.length).fill(-1));
+    size_ = [size, ...new Array(xRank - 1).fill(-1)];
+  } else if (size.length < xRank) {
+    size_ = size.concat(new Array(xRank - size.length).fill(-1));
   } else {
     size_ = size;
   }
diff --git a/tfjs-core/src/util.ts b/tfjs-core/src/util.ts
index 6abddf3d028..3a634ce84d8 100644
--- a/tfjs-core/src/util.ts
+++ b/tfjs-core/src/util.ts
@@ -16,8 +16,7 @@
  */
 
 import {env} from './environment';
-
-import {DataType, DataTypeMap, FlatVector, NumericDataType, RecursiveArray, TensorLike, TypedArray} from './types';
+import {BackendValues, DataType, DataTypeMap, FlatVector, NumericDataType, RecursiveArray, TensorLike, TypedArray} from './types';
 
 /**
  * Shuffles the array in-place using Fisher-Yates algorithm.
@@ -553,6 +552,18 @@ export function computeStrides(shape: number[]): number[] {
   return strides;
 }
 
+/**
+ * Create typed array for scalar value. Used for storing in `DataStorage`.
+ */
+export function createScalarValue(
+    value: DataType, dtype: DataType): BackendValues {
+  if (dtype === 'string') {
+    return encodeString(value);
+  }
+
+  return toTypedArray([value], dtype);
+}
+
 export function toTypedArray(a: TensorLike, dtype: DataType): TypedArray {
   if (dtype === 'string') {
     throw new Error('Cannot convert a string[] to a TypedArray');
diff --git a/tfjs-layers/src/layers/core_test.ts b/tfjs-layers/src/layers/core_test.ts
index 03674f48e1e..f30c323876b 100644
--- a/tfjs-layers/src/layers/core_test.ts
+++ b/tfjs-layers/src/layers/core_test.ts
@@ -11,7 +11,6 @@
 /**
  * Unit tests for core.ts.
  */
-
 import {mul, ones, scalar, Tensor, tensor2d, tensor3d, tensor4d, zeros} from '@tensorflow/tfjs-core';
 
 import * as K from '../backend/tfjs_backend';
@@ -116,18 +115,20 @@ describeMathCPUAndGPU('Dropout Layer', () => {
     }
   });
 
-  describe('tensor with seed get specific value', () => {
-    const training = true;
-    const rate = 0.5;
-    const noiseShape = [2, 3, 4];
-    const x = ones([2, 3, 4]);
-    const seed = 23;
-    const dropoutLayer = tfl.layers.dropout({rate, noiseShape, seed});
-    const y = dropoutLayer.apply(x, {training}) as Tensor;
-    const yValuesExpected = [
-      0, 2, 2, 2, 0, 0, 2, 2, 0, 0, 2, 2, 2, 0, 0, 0, 2, 0, 2, 0, 2, 2, 2, 0
-    ];
-    expectTensorsClose(y, tensor3d(yValuesExpected, [2, 3, 4]));
+  describe('tensor with seed', () => {
+    it('get specific value.', () => {
+      const training = true;
+      const rate = 0.5;
+      const noiseShape = [2, 3, 4];
+      const x = ones([2, 3, 4]);
+      const seed = 23;
+      const dropoutLayer = tfl.layers.dropout({rate, noiseShape, seed});
+      const y = dropoutLayer.apply(x, {training}) as Tensor;
+      const yValuesExpected = [
+        0, 2, 2, 2, 0, 0, 2, 2, 0, 0, 2, 2, 2, 0, 0, 0, 2, 0, 2, 0, 2, 2, 2, 0
+      ];
+      expectTensorsClose(y, tensor3d(yValuesExpected, [2, 3, 4]));
+    });
   });
 });
 
diff --git a/tfjs-layers/src/layers/normalization_test.ts b/tfjs-layers/src/layers/normalization_test.ts
index a568c24dc30..1fa08c709b8 100644
--- a/tfjs-layers/src/layers/normalization_test.ts
+++ b/tfjs-layers/src/layers/normalization_test.ts
@@ -669,7 +669,7 @@ describeMathCPUAndGPU('BatchNormalization Layers: Tensor', () => {
   });
 });
 
-describe('LayerNormalization Layer: Symbolic', () => {
+describeMathCPUAndGPU('LayerNormalization Layer: Symbolic', () => {
   it('Invalid axis value leads to constructor error', () => {
     expect(() => tfl.layers.layerNormalization({
       // tslint:disable-next-line:no-any