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/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef CAFFE2_OPERATORS_ASSERT_OP_H_
#define CAFFE2_OPERATORS_ASSERT_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <class Context>
class AssertOp final : public Operator<Context> {
public:
AssertOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<Context>(operator_def, ws),
error_msg_(
OperatorBase::GetSingleArgument<std::string>("error_msg", "")) {}
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <typename T>
bool DoRunWithType() {
// Copy into CPU context for comparison
cmp_tensor_.CopyFrom(Input(0));
auto* cmp_data = cmp_tensor_.template data<T>();
for (TIndex i = 0; i < cmp_tensor_.size(); ++i) {
CAFFE_ENFORCE((bool)cmp_data[i], [&]() {
std::stringstream ss;
ss << "Assert failed for element " << i
<< " in tensor, value: " << cmp_data[i] << "\n";
if (!error_msg_.empty()) {
ss << "Error message: " << error_msg_;
}
return ss.str();
}());
}
return true;
}
bool RunOnDevice() override {
return DispatchHelper<TensorTypes<long, int, bool>>::call(this, Input(0));
}
private:
TensorCPU cmp_tensor_;
std::string error_msg_;
};
} // namespace caffe2
#endif /* CAFFE2_OPERATORS_ASSERT_OP_H_ */