[ONNX] Symbolic: dynamic input for OneHot, bool for Einsum (#65940)

[BowenBao]

Stack from ghstack:

• [ONNX] Update slice process shape to support rank only inference (#65782) #66149 [ONNX] Update slice process shape to support rank only inference ([ONNX] Update slice process shape to support rank only inference #65782)
• [ONNX] Symbolic: dynamic input for OneHot, bool for Einsum (#65940) #66147 [ONNX] Symbolic: dynamic input for OneHot, bool for Einsum ([ONNX] Symbolic: dynamic input for OneHot, bool for Einsum #65940)
• [ONNX] Modify softplus symbolic to support beta!=1 (#65001) #66146 [ONNX] Modify softplus symbolic to support beta!=1 ([ONNX] Modify softplus symbolic to support beta!=1 #65001)
• [ONNX] Deprecate fold_if pass (#65697) #66145 [ONNX] Deprecate fold_if pass ([ONNX] Deprecate fold_if pass #65697)
• [ONNX] Add diagonal symbolic (#64454) #66144 [ONNX] Add diagonal symbolic ([ONNX] Add diagonal symbolic #64454)
• ONNX: Delete or document skipped ORT tests (#64470) #66143 ONNX: Delete or document skipped ORT tests (ONNX: Delete or document skipped ORT tests #64470)
• [ONNX] Add warning for inplace updates on tensor.shape in tracing mode (#63170) #66142 [ONNX] Add warning for inplace updates on tensor.shape in tracing mode ([ONNX] Add warning for inplace updates on tensor.shape in tracing mode #63170)
• [ONNX] Update sum symbolic to handle dtypes (#64289) #66141 [ONNX] Update sum symbolic to handle dtypes ([ONNX] Update sum symbolic to handle dtypes #64289)
• [ONNX] Export nn.Module call as ONNX local function (#63589) #66140 [ONNX] Export nn.Module call as ONNX local function ([ONNX] Export nn.Module call as ONNX local function #63589)

Symbolic: dynamic input for OneHot, bool for Einsum

Co-authored-by: jiafatom jiafa@microsoft.com

Differential Revision:

Differential Revision: D31424094

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💊 CI failures summary and remediations

As of commit dc6a08a (more details on the Dr. CI page):

---

• 1/1 failures introduced in this PR

---

🕵️ 1 new failure recognized by patterns

The following CI failures do not appear to be due to upstream breakages:

pytorch_xla_linux_bionic_py3_6_clang9_build (1/1)

Step: "Build" (full log | diagnosis details | 🔁 rerun)

Oct 19 19:35:46 ln: failed to create symbolic l...usr/local/cuda/include': No such file or directory

Oct 19 19:35:42 Processing triggers for libc-bin (2.27-3ubuntu1.4) ...

Oct 19 19:35:43 + sudo npm install -g @bazel/bazelisk
Oct 19 19:35:46 /usr/local/bin/bazelisk -> /usr/local/lib/node_modules/@bazel/bazelisk/bazelisk.js
Oct 19 19:35:46 /usr/local/bin/bazel -> /usr/local/lib/node_modules/@bazel/bazelisk/bazelisk.js
Oct 19 19:35:46 /usr/local/lib
Oct 19 19:35:46 `-- @bazel/bazelisk@1.10.1 
Oct 19 19:35:46 
Oct 19 19:35:46 ++ command -v bazelisk
Oct 19 19:35:46 + sudo ln -s /usr/local/bin/bazelisk /usr/bin/bazel
Oct 19 19:35:46 + sudo ln -s '/usr/include/cublas*' /usr/local/cuda/include
Oct 19 19:35:46 ln: failed to create symbolic link '/usr/local/cuda/include': No such file or directory
Oct 19 19:35:46 + cleanup
Oct 19 19:35:46 + retcode=1
Oct 19 19:35:46 + set +x
Oct 19 19:35:46 =================== sccache compilation log ===================
Oct 19 19:35:46 =========== If your build fails, please take a look at the log above for possible reasons ===========
Oct 19 19:35:46 Compile requests                    5653
Oct 19 19:35:46 Compile requests executed           5322
Oct 19 19:35:46 Cache hits                          5206
Oct 19 19:35:46 Cache hits (C/C++)                  5206
Oct 19 19:35:46 Cache misses                          95

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XLA failure

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