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#ifndef CAFFE2_OPERATORS_INT8_RESHAPE_OP_H_
#define CAFFE2_OPERATORS_INT8_RESHAPE_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/tensor_int8.h"
#include "caffe2/operators/quantized/int8_utils.h"
#include "caffe2/operators/reshape_op.h"
namespace caffe2 {
namespace int8 {
class Int8ReshapeOp final : public ReshapeOp<uint8_t, CPUContext> {
public:
template <class... Args>
explicit Int8ReshapeOp(Args&&... args)
: ReshapeOp(std::forward<Args>(args)...) {}
bool RunOnDevice() override {
if (InputSize() == 2) {
return DispatchHelper<TensorTypes<int, int64_t>>::call(this, Input(1));
}
CAFFE_ENFORCE(
OperatorBase::HasArgument("shape"), "Argument `shape` is missing.");
return this->template DoRunWithType<int64_t>();
}
template <typename T>
bool DoRunWithType() {
auto& X = Inputs()[0]->Get<Int8TensorCPU>();
auto* Y = Outputs()[0]->GetMutable<Int8TensorCPU>();
int32_t Y_offset = this->template GetSingleArgument<int>("Y_zero_point", 0);
auto Y_scale = this->template GetSingleArgument<float>("Y_scale", 1);
TORCH_CHECK_EQ(Y_offset, X.zero_point);
TORCH_CHECK_EQ(Y_scale, X.scale);
Y->scale = Y_scale;
Y->zero_point = Y_offset;
DoRunWithTypeImpl<T>(X.t, &Y->t);
return true;
}
};
} // namespace int8
} // namespace caffe2
#endif // CAFFE2_OPERATORS_INT8_RESHAPE_OP_H_
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