[converter] Fix bazel BUILD rules for wizard

tfjs-converter/python/tensorflowjs/BUILD

@@ -123,29 +123,6 @@ py_test(
     ],
 )
 
-py_test(
-    name = "wizard_test",
-    srcs = ["wizard_test.py"],
-    srcs_version = "PY2AND3",
-    deps = [
-        ":expect_numpy_installed",
-        ":wizard",
-    ],
-)
-
-py_binary(
-    name = "wizard",
-    srcs = ["wizard.py"],
-    srcs_version = "PY2AND3",
-    deps = [
-        ":converters/common",
-        ":converters/converter",
-        "//tensorflowjs:expect_h5py_installed",
-        "//tensorflowjs:expect_keras_installed",
-        "//tensorflowjs:expect_tensorflow_installed",
-    ],
-)
-
 # A filegroup BUILD target that includes all the op list json files in the
 # the op_list/ folder. The op_list folder itself is a symbolic link to the
 # actual op_list folder under src/.

tfjs-converter/python/tensorflowjs/__init__.py

@@ -21,6 +21,5 @@
 from tensorflowjs import converters
 from tensorflowjs import quantization
 from tensorflowjs import version
-from tensorflowjs import wizard
 
 __version__ = version.version

tfjs-converter/python/tensorflowjs/converters/BUILD

@@ -77,6 +77,7 @@ py_test(
     srcs_version = "PY2AND3",
     deps = [
         ":fuse_prelu",
+        ":tf_saved_model_conversion_v2",
         "//tensorflowjs:expect_numpy_installed",
         "//tensorflowjs:expect_tensorflow_installed",
     ],
@@ -121,13 +122,37 @@ py_library(
     data = ["//tensorflowjs:op_list_jsons"],
     srcs_version = "PY2AND3",
     deps = [
+        ":common",
+        ":fold_batch_norms",
+        ":fuse_prelu",
         "//tensorflowjs:expect_numpy_installed",
         "//tensorflowjs:expect_tensorflow_installed",
         "//tensorflowjs:expect_tensorflow_hub_installed",
         "//tensorflowjs:version",
         "//tensorflowjs:write_weights",
-        "//tensorflowjs/converters:common",
-        "//tensorflowjs/converters:fold_batch_norms",
+    ],
+)
+
+py_test(
+    name = "wizard_test",
+    srcs = ["wizard_test.py"],
+    srcs_version = "PY2AND3",
+    deps = [
+        ":wizard",
+        "//tensorflowjs:expect_numpy_installed",
+    ],
+)
+
+py_binary(
+    name = "wizard",
+    srcs = ["wizard.py"],
+    srcs_version = "PY2AND3",
+    deps = [
+        ":common",
+        ":converter",
+        ":fuse_prelu",
+        "//tensorflowjs:expect_h5py_installed",
+        "//tensorflowjs:expect_tensorflow_installed",
     ],
 )
 

tfjs-converter/python/tensorflowjs/converters/converter.py

@@ -652,5 +652,6 @@ def pip_main():
 def main(argv):
   convert(argv[0].split(' '))
 
+
 if __name__ == '__main__':
   tf.app.run(main=main, argv=[' '.join(sys.argv[1:])])

tfjs-converter/python/tensorflowjs/wizard.py → tfjs-converter/python/tensorflowjs/converters/wizard.py

@@ -47,6 +47,7 @@
     PyInquirer.Token.Question: '',
 })
 
+
 def value_in_list(answers, key, values):
   """Determine user's answer for the key is in the value list.
   Args:
@@ -70,6 +71,7 @@ def get_tfjs_model_type(model_file):
     else: # Default to layers model
       return common.TFJS_LAYERS_MODEL_FORMAT
 
+
 def detect_saved_model(input_path):
   if os.path.exists(os.path.join(input_path, 'assets', 'saved_model.json')):
     return common.KERAS_SAVED_MODEL
@@ -80,6 +82,7 @@ def detect_saved_model(input_path):
       return common.KERAS_SAVED_MODEL
   return common.TF_SAVED_MODEL
 
+
 def detect_input_format(input_path):
   """Determine the input format from model's input path or file.
   Args:

tfjs-converter/python/tensorflowjs/wizard_test.py → tfjs-converter/python/tensorflowjs/converters/wizard_test.py

@@ -28,7 +28,7 @@
 from tensorflow.python.training.tracking import tracking
 from tensorflow.python.saved_model import save
 
-from tensorflowjs import wizard
+from tensorflowjs.converters import wizard
 
 SAVED_MODEL_DIR = 'saved_model'
 SAVED_MODEL_NAME = 'saved_model.pb'