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OpContext.h
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OpContext.h
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#pragma once
#include <ATen/Tensor.h>
#include <ATen/core/ivalue.h>
#include <ATen/native/mkldnn/Common.h>
#if AT_MKLDNN_ENABLED()
namespace at {
namespace native {
namespace mkldnn {
const static std::map<std::string, ideep::attr_t> fusion_attr_map = {
{"none", ideep::attr_t()},
{"relu", ideep::attr_t::fuse_relu()},
};
using SerializationTypeConvPrePack = std::tuple<
Tensor,
c10::optional<Tensor>,
std::vector<int64_t>,
std::vector<int64_t>,
std::vector<int64_t>,
int64_t,
std::vector<int64_t>,
std::string>;
class ConvOpContext : public torch::jit::CustomClassHolder {
protected:
Tensor orig_weight_;
c10::optional<Tensor> orig_bias_;
std::vector<int64_t> stride_;
std::vector<int64_t> padding_;
std::vector<int64_t> dilation_;
int64_t groups_;
std::vector<int64_t> input_size_;
std::string attr_;
public:
SerializationTypeConvPrePack unpack() {
return std::make_tuple(
orig_weight_,
orig_bias_,
stride_,
padding_,
dilation_,
groups_,
input_size_,
attr_);
}
virtual Tensor run(const Tensor& input) = 0;
virtual void run(const Tensor& input, void* output) = 0;
};
class MkldnnConvOpContext final : public ConvOpContext {
private:
ContextConv op_context_;
public:
MkldnnConvOpContext(
Tensor&& weight,
c10::optional<Tensor>&& bias,
std::vector<int64_t>&& padding,
std::vector<int64_t>&& stride,
std::vector<int64_t>&& dilation,
uint64_t groups,
std::vector<int64_t>&& input_size,
ContextConv&& op_context)
: op_context_(std::move(op_context)) {
orig_weight_ = std::move(weight);
orig_bias_ = std::move(bias);
padding_ = std::move(padding);
stride_ = std::move(stride);
dilation_ = std::move(dilation);
groups_ = groups;
input_size_ = std::move(input_size);
}
Tensor run(const Tensor& input) override;
void run(const Tensor& input, void* output) override;
static c10::intrusive_ptr<ConvOpContext> create_context(
Tensor&& weight,
c10::optional<Tensor>&& bias,
std::vector<int64_t>&& padding,
std::vector<int64_t>&& stride,
std::vector<int64_t>&& dilation,
int64_t groups,
std::vector<int64_t>&& input_size,
const ideep::attr_t& attr);
};
} // namespace mkldnn
} // namespace native
} // namespace at
#endif // AT_MKLDNN_ENABLED()