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[v1.x] ONNX support for broadcast_mod #19770
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Hey @Zha0q1 , Thanks for submitting the PR
CI supported jobs: [centos-gpu, clang, centos-cpu, edge, website, sanity, unix-cpu, unix-gpu, miscellaneous, windows-cpu, windows-gpu] Note: |
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| @@ -436,6 +436,17 @@ def test_onnx_export_contrib_AdaptiveAvgPooling2D(tmp_path, dtype): | |||
| op_export_test('contrib_AdaptiveAvgPooling2D', M4, [x], tmp_path) | |||
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| @pytest.mark.parametrize('dtype', ['float16', 'float32', 'int32', 'int64']) | |||
| @pytest.mark.parametrize('shapes', [((3, 3, 3), (3)), ((4, 5, 6, 7), (7))]) | |||
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Shall we also test rhs with higher dimension like (3, 3)?
…t into onnx_broadcast_mod
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MXNet broadcast mod's behavior is a mixture of np mod and fmod. So I made some adjustment in the onnx translation to make sure the behavior is the same as that of mxnet