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a9b0a921d5
Summary: As GoogleTest `TEST` macro is non-compliant with it as well as `DEFINE_DISPATCH` All changes but the ones to `.clang-tidy` are generated using following script: ``` for i in `find . -type f -iname "*.c*" -or -iname "*.h"|xargs grep cppcoreguidelines-avoid-non-const-global-variables|cut -f1 -d:|sort|uniq`; do sed -i "/\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)/d" $i; done ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/62008 Reviewed By: driazati, r-barnes Differential Revision: D29838584 Pulled By: malfet fbshipit-source-id: 1b2f8602c945bd4ce50a9bfdd204755556e31d13
66 lines
1.5 KiB
C++
66 lines
1.5 KiB
C++
#include "caffe2/operators/assert_op.h"
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namespace caffe2 {
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REGISTER_CPU_OPERATOR(Assert, AssertOp<CPUContext>);
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OPERATOR_SCHEMA(Assert)
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.NumInputs(1)
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.NumOutputs(0)
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.SetDoc(R"DOC(
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Takes in a tensor of type *bool*, *int*, *long*, or *long long* and checks if all values are True when coerced into a boolean. In other words, for non-bool types this asserts that all values in the tensor are non-zero. If a value is False after coerced into a boolean, the operator throws an error. Else, if all values are True, nothing is returned. For tracability, a custom error message can be set using the `error_msg` argument.
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Github Links:
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- https://github.com/pytorch/pytorch/blob/master/caffe2/operators/assert_op.cc
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<details>
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<summary> <b>Example</b> </summary>
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**Code**
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```
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workspace.ResetWorkspace()
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op = core.CreateOperator(
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"Assert",
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["A"],
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[],
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error_msg="Failed assertion from Assert operator"
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)
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workspace.FeedBlob("A", np.random.randint(10, size=(3,3)).astype(np.int32))
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print("A:", workspace.FetchBlob("A"))
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try:
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workspace.RunOperatorOnce(op)
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except RuntimeError:
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print("Assertion Failed!")
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else:
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print("Assertion Passed!")
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```
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**Result**
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```
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A:
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[[7 5 6]
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[1 2 4]
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[5 3 7]]
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Assertion Passed!
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```
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</details>
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)DOC")
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.Arg(
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"error_msg",
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"(*string*): custom error message to be thrown when the input does not pass assertion",
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false)
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.Input(0,"X","(*Tensor*): input tensor");
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} // namespace caffe2
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