Automatic update of fbcode/onnx to f461f7aad9987635b4aff108620ed7918f002d19 (#14568)

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14568

Previous import was 882c5283c54345d131e8fe5c859e4844dcf7ca8e

Included changes:
- **[f461f7a](https://github.com/onnx/onnx/commit/f461f7a)**: Show the op's type and name when the shape inference is failed. (#1623) <Jerry>
- **[ab8aaf9](https://github.com/onnx/onnx/commit/ab8aaf9)**: Add scan test case (#1586) <G. Ramalingam>
- **[c95357e](https://github.com/onnx/onnx/commit/c95357e)**: link the tutorial (#1650) <Lu Fang>
- **[d7e2420](https://github.com/onnx/onnx/commit/d7e2420)**: Upgrade label encoder to support more input types (#1596) <Wei-Sheng Chin>
- **[6425108](https://github.com/onnx/onnx/commit/6425108)**: Add Doc about Adding New Operator into ONNX (#1647) <Lu Fang>
- **[295889c](https://github.com/onnx/onnx/commit/295889c)**: use an empty initializer to create map (#1643) <Lu Fang>
- **[e38f3ec](https://github.com/onnx/onnx/commit/e38f3ec)**: Remove redundant const (#1639) <daquexian>
- **[ea694bf](https://github.com/onnx/onnx/commit/ea694bf)**: implement fuse reduce->unsqueeze + fix assumption in nop_dropout pass (#1565) <Armen>
- **[6db386e](https://github.com/onnx/onnx/commit/6db386e)**: make output shape clear enough for Softmax family (#1634) <Lu Fang>
- **[2b67c6e](https://github.com/onnx/onnx/commit/2b67c6e)**: fix batchnorm doc (#1633) <Lu Fang>
- **[c901784](https://github.com/onnx/onnx/commit/c901784)**: remove inappropriate consts (#1632) <Lu Fang>
- **[de82119](https://github.com/onnx/onnx/commit/de82119)**: Shape inference fix for broadcast, concat and scan (#1594) <KeDengMS>
- **[d7ffe3b](https://github.com/onnx/onnx/commit/d7ffe3b)**: Update Optimizer Docs (#1607) <Armen>
- **[d09d139](https://github.com/onnx/onnx/commit/d09d139)**: mark PROTOBUF_INCLUDE_DIRS as BUILD_INTERFACE (#1466) <Yuta Okamoto>
- **[eb4b7c2](https://github.com/onnx/onnx/commit/eb4b7c2)**: allow variadic parameters of different types (#1615) <G. Ramalingam>
- **[4166246](https://github.com/onnx/onnx/commit/4166246)**: Fix onnxifi test (#1617) <Yinghai Lu>
- **[6706a4d](https://github.com/onnx/onnx/commit/6706a4d)**: Fix a bug in vector address access (#1598) <Raymond Yang>
- **[ae39866](https://github.com/onnx/onnx/commit/ae39866)**: Separate types of inputs 1 and 2 in OneHot op. (#1610) <Spandan Tiwari>
- **[45ba661](https://github.com/onnx/onnx/commit/45ba661)**: Handle new types in the switch. (#1608) <Dmitri Smirnov>
- **[14853b6](https://github.com/onnx/onnx/commit/14853b6)**: Bump docker image version to 230 used in CircleCI (#1606) <bddppq>
- **[e0993b8](https://github.com/onnx/onnx/commit/e0993b8)**: [onnxifi] Make sure that backend handles run async. (#1599) <Roman Dzhabarov>
- **[e6965cc](https://github.com/onnx/onnx/commit/e6965cc)**: Introduce SparseTensor ML proto (#1554) <Dmitri Smirnov>
- **[75b782f](https://github.com/onnx/onnx/commit/75b782f)**: In driver test check the return status of onnxGetBackendIDs (#1597) <bddppq>
- **[c05b364](https://github.com/onnx/onnx/commit/c05b364)**: Make CI log less verbose (#1595) <bddppq>
- **[fa568e4](https://github.com/onnx/onnx/commit/fa568e4)**: Loop type shape inferencing (#1591) <Scott McKay>
- **[937e64c](https://github.com/onnx/onnx/commit/937e64c)**: add uint8 (#1590) <Lu Fang>
- **[f86e951](https://github.com/onnx/onnx/commit/f86e951)**: Add domain as an optional parameter for make_node function (#1588) <Young Kim>
- **[ff45588](https://github.com/onnx/onnx/commit/ff45588)**: Remove unreachable code in shape_inference.h (#1585) <Changming Sun>
- **[f7dcad0](https://github.com/onnx/onnx/commit/f7dcad0)**: Add several hyperbolic function ops. (#1499) <Sergii Dymchenko>
- **[a60ac7d](https://github.com/onnx/onnx/commit/a60ac7d)**: Add OneHot op to ONNX. (#1567) <Spandan Tiwari>
- **[f6c3a7e](https://github.com/onnx/onnx/commit/f6c3a7e)**: [compiler flag] Issue a warning if class has virtual method but missing virtual dtor. (#1583) <Roman Dzhabarov>
- **[88d1784](https://github.com/onnx/onnx/commit/88d1784)**: Fix MaxUnpool shape inference when output_shape is provided as input (#1578) <Spandan Tiwari>
- **[20041b7](https://github.com/onnx/onnx/commit/20041b7)**: Add type shape inferencing for the If operator (#1571) <Scott McKay>
- **[d6c4c75](https://github.com/onnx/onnx/commit/d6c4c75)**: Add a virtual destructor to GraphInferencer (#1574) <Changming Sun>
- **[a339598](https://github.com/onnx/onnx/commit/a339598)**: fix ConvTranspose spec (#1566) <Wenhao Hu>

Reviewed By: zrphercule

Differential Revision: D13263831

fbshipit-source-id: a2ff22c6454e2430429e5a7d18d21661a7ffb0cb

diff --git a/caffe2/python/onnx/tests/onnx_backend_test.py b/caffe2/python/onnx/tests/onnx_backend_test.py
index 4f3193e..d975d36 100644 (file)
--- a/caffe2/python/onnx/tests/onnx_backend_test.py
+++ b/caffe2/python/onnx/tests/onnx_backend_test.py
@@ -41,6 +41,10 @@ backend_test.exclude(r'(test_hardsigmoid'  # Does not support Hardsigmoid.
                      '|test_constantlike.*'  # Needs implementation
                      '|test_eyelike.*'  # Needs implementation
                      '|test_maxunpool.*'  # Needs implementation
+                     '|test_acosh.*'  # Needs implementation
+                     '|test_asinh.*'  # Needs implementation
+                     '|test_atanh.*'  # Needs implementation
+                     '|test_onehot.*'  # Needs implementation
                      ')')
 
 # Quick patch to unbreak master CI, is working on the debugging.