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#ifndef CAFFE2_OPERATORS_INT8_SLICE_OP_H_
#define CAFFE2_OPERATORS_INT8_SLICE_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/slice_op.h"
namespace caffe2 {
namespace int8 {
class Int8SliceOp final : public SliceOp<CPUContext> {
public:
template <class... Args>
explicit Int8SliceOp(Args&&... args) : SliceOp(std::forward<Args>(args)...) {}
bool RunOnDevice() override {
if (InputSize() > 1) {
return DispatchHelper<TensorTypes<int, int64_t>>::call(this, Input(1));
} else {
return DoRunWithType<int64_t>();
}
}
template <typename SIndex>
bool DoRunWithType() {
if (InputSize() > 1) {
ReinitializeAndCopyFrom(
&starts_host_, at::dtype<SIndex>().device(CPU), Input(1));
ReinitializeAndCopyFrom(
&ends_host_, at::dtype<SIndex>().device(CPU), Input(2));
} else {
if (!statically_inited_) {
if (HasArgument("dim") && HasArgument("start_idx") &&
HasArgument("end_idx")) {
auto dim = this->template GetSingleArgument<int>("dim", 0);
auto start =
this->template GetSingleArgument<int64_t>("start_idx", 0);
auto end = this->template GetSingleArgument<int64_t>("end_idx", -1);
auto& input_tensor = Inputs()[0]->Get<Int8TensorCPU>();
auto rank = input_tensor.t.sizes().size();
starts_.resize(rank, 0);
ends_.resize(rank, -1);
starts_[dim] = start;
ends_[dim] = end;
} else {
CAFFE_ENFORCE(HasArgument("starts"));
CAFFE_ENFORCE(HasArgument("ends"));
}
CAFFE_ENFORCE_EQ(starts_.size(), ends_.size());
ReinitializeTensor(
&starts_host_,
{static_cast<int64_t>(starts_.size())},
at::dtype<SIndex>().device(CPU));
ReinitializeTensor(
&ends_host_,
{static_cast<int64_t>(ends_.size())},
at::dtype<SIndex>().device(CPU));
memcpy(
starts_host_.template mutable_data<SIndex>(),
starts_.data(),
sizeof(SIndex) * starts_.size());
memcpy(
ends_host_.template mutable_data<SIndex>(),
ends_.data(),
sizeof(SIndex) * ends_.size());
statically_inited_ = true;
}
}
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;
return SliceImpl<SIndex, CPUContext>(
&Y->t, X.t, starts_host_, ends_host_, &context_);
}
};
} // namespace int8
} // namespace caffe2
#endif // CAFFE2_OPERATORS_INT8_SLICE_OP_H_
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