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#pragma once
#include <torch/csrc/jit/tensorexpr/operators/misc.h>
#include <torch/csrc/jit/tensorexpr/tensor.h>
namespace torch {
namespace jit {
namespace tensorexpr {
// An API to compute 2D depthwise convolutions with bias.
TORCH_API Tensor conv2d_depthwise(
BufHandle input,
BufHandle weight,
BufHandle bias,
int stride,
int pad,
int groups);
// An API to compute 2D depthwise convolutions without bias.
TORCH_API Tensor conv2d_depthwise(
BufHandle input,
BufHandle weight,
int stride,
int pad,
int groups);
TORCH_API Tensor conv2d_depthwise(
BufHandle input,
BufHandle weight,
BufHandle bias,
ExprHandle N,
ExprHandle C,
ExprHandle H,
ExprHandle W,
ExprHandle K,
ExprHandle CperG,
ExprHandle R,
ExprHandle S,
ExprHandle stride,
ExprHandle pad,
ExprHandle groups);
TORCH_API Tensor conv2d_depthwise(
BufHandle input,
BufHandle weight,
ExprHandle N,
ExprHandle C,
ExprHandle H,
ExprHandle W,
ExprHandle K,
ExprHandle CperG,
ExprHandle R,
ExprHandle S,
ExprHandle stride,
ExprHandle pad,
ExprHandle groups);
bool conv2dIsSupported(
const TensorInfo& input,
const TensorInfo& weight,
const TensorInfo& bias,
const std::vector<int64_t>& stride,
const std::vector<int64_t>& pad,
const std::vector<int64_t>& dilation,
int64_t groups);
bool mkldnnPrepackedConvIsSupported(
const TensorInfo& input,
const TensorInfo& weight,
const std::vector<int64_t>& stride,
const std::vector<int64_t>& pad,
const std::vector<int64_t>& dilation,
int64_t groups);
Tensor computeConv2d(
const std::vector<ArgValue>& inputs,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
at::Device device);
Tensor computeConv1d(
const std::vector<ArgValue>& inputs,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
at::Device device);
Tensor computePrepackedConv2dClampRun(
const std::vector<ArgValue>& inputs,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
at::Device device);
Tensor computePrepackedLinearClampRun(
const std::vector<ArgValue>& inputs,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
at::Device device);
Tensor computeMkldnnPrepackedConvRun(
const std::vector<ArgValue>& inputs,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
at::Device device);
} // namespace tensorexpr
} // namespace jit
} // namespace torch
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