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54c4b5a4db
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17082 clangr codemod Reviewed By: ezyang Differential Revision: D14078498 fbshipit-source-id: f7f65d6d81c7942293f53fdaa61f756d8b7360c1
52 lines
1.3 KiB
C++
52 lines
1.3 KiB
C++
#ifndef CAFFE2_OPERATORS_ASSERT_OP_H_
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#define CAFFE2_OPERATORS_ASSERT_OP_H_
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#include "caffe2/core/context.h"
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#include "caffe2/core/operator.h"
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namespace caffe2 {
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template <class Context>
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class AssertOp final : public Operator<Context> {
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public:
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template <class... Args>
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explicit AssertOp(Args&&... args)
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: Operator<Context>(std::forward<Args>(args)...),
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error_msg_(
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this->template GetSingleArgument<std::string>("error_msg", "")) {}
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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template <typename T>
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bool DoRunWithType() {
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// Copy into CPU context for comparison
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cmp_tensor_.CopyFrom(Input(0));
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auto* cmp_data = cmp_tensor_.template data<T>();
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for (int64_t i = 0; i < cmp_tensor_.numel(); ++i) {
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CAFFE_ENFORCE((bool)cmp_data[i], [&]() {
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std::stringstream ss;
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ss << "Assert failed for element " << i
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<< " in tensor, value: " << cmp_data[i] << "\n";
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if (!error_msg_.empty()) {
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ss << "Error message: " << error_msg_;
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}
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return ss.str();
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}());
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}
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return true;
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}
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bool RunOnDevice() override {
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return DispatchHelper<TensorTypes<long, int, bool>>::call(this, Input(0));
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}
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private:
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Tensor cmp_tensor_{CPU};
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std::string error_msg_;
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};
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} // namespace caffe2
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#endif /* CAFFE2_OPERATORS_ASSERT_OP_H_ */
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