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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_HALF_FLOAT_OPS_H_
#define CAFFE2_OPERATORS_HALF_FLOAT_OPS_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <class Context>
class FloatToHalfOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
USE_SIMPLE_CTOR_DTOR(FloatToHalfOp);
bool RunOnDevice() override;
};
template <class Context>
class HalfToFloatOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
USE_SIMPLE_CTOR_DTOR(HalfToFloatOp);
bool RunOnDevice() override;
};
class Float16ConstantFillOp : public Operator<CPUContext> {
public:
Float16ConstantFillOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<CPUContext>(operator_def, ws),
shape_(
ToVectorTIndex(OperatorBase::GetRepeatedArgument<int>("shape"))) {}
USE_OPERATOR_FUNCTIONS(CPUContext);
virtual ~Float16ConstantFillOp() {}
bool RunOnDevice() override;
private:
vector<TIndex> shape_;
};
inline std::vector<TensorShape> Float16FillerTensorInference(
const OperatorDef& def,
const vector<TensorShape>& in) {
vector<TensorShape> out(1);
ArgumentHelper helper(def);
out[0].set_data_type(static_cast<TensorProto_DataType>(
helper.GetSingleArgument<int>("dtype", TensorProto_DataType_FLOAT)));
auto shape = helper.GetRepeatedArgument<int>("shape");
for (int d : shape) {
out[0].add_dims(d);
}
return out;
}
} // namespace caffe2
#endif // CAFFE2_OPERATORS_HALF_FLOAT_OPS_H_