ConvPlaceholders.cpp

#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/cuda/CUDAConfig.h> // for the definition of AT_CUDNN_ENABLED

#ifndef AT_PER_OPERATOR_HEADERS
#include <ATen/Functions.h>
#include <ATen/NativeFunctions.h>
#else
#include <ATen/ops/cudnn_convolution_add_relu_native.h>
#include <ATen/ops/cudnn_convolution_native.h>
#include <ATen/ops/cudnn_convolution_relu_native.h>
#include <ATen/ops/cudnn_convolution_transpose_native.h>
#endif

namespace at::native {

// ---------------------------------------------------------------------
//
// Placeholder operators
//
// ---------------------------------------------------------------------

#if !AT_CUDNN_ENABLED()

// See Note [ATen preprocessor philosophy]

at::Tensor cudnn_convolution(
    const at::Tensor& input,
    const at::Tensor& weight,
    IntArrayRef padding,
    IntArrayRef stride,
    IntArrayRef dilation,
    int64_t groups,
    bool benchmark,
    bool deterministic,
    bool allow_tf32) {
  TORCH_CHECK(false, "cudnn_convolution: ATen not compiled with cuDNN support");
}

at::Tensor& cudnn_convolution_out(
    const Tensor& input_t,
    const Tensor& weight_t,
    IntArrayRef padding,
    IntArrayRef stride,
    IntArrayRef dilation,
    int64_t groups,
    bool benchmark,
    bool deterministic,
    bool allow_tf32,
    Tensor& output_t) {
  TORCH_CHECK(
      false, "cudnn_convolution_out: ATen not compiled with cuDNN support");
}

at::Tensor cudnn_convolution_backward_input(
    IntArrayRef input_size,
    const at::Tensor& grad_output,
    const at::Tensor& weight,
    IntArrayRef padding,
    IntArrayRef stride,
    IntArrayRef dilation,
    int64_t groups,
    bool benchmark,
    bool deterministic,
    bool allow_tf32) {
  TORCH_CHECK(
      false,
      "cudnn_convolution_backward_input: ATen not compiled with cuDNN support");
}

at::Tensor cudnn_convolution_backward_weight(
    IntArrayRef weight_size,
    const at::Tensor& grad_output,
    const at::Tensor& input,
    IntArrayRef padding,
    IntArrayRef stride,
    IntArrayRef dilation,
    int64_t groups,
    bool benchmark,
    bool deterministic,
    bool allow_tf32) {
  TORCH_CHECK(
      false,
      "cudnn_convolution_backward_weight: ATen not compiled with cuDNN support");
}

std::tuple<at::Tensor, at::Tensor> cudnn_convolution_backward(
    const at::Tensor& input,
    const at::Tensor& grad_output,
    const at::Tensor& weight,
    IntArrayRef padding,
    IntArrayRef stride,
    IntArrayRef dilation,
    int64_t groups,
    bool benchmark,
    bool deterministic,
    bool allow_tf32,
    std::array<bool, 2> output_mask) {
  TORCH_CHECK(
      false,
      "cudnn_convolution_backward: ATen not compiled with cuDNN support");
}

at::Tensor cudnn_convolution_transpose(
    const at::Tensor& input,
    const at::Tensor& weight,
    IntArrayRef padding,
    IntArrayRef output_padding,
    IntArrayRef stride,
    IntArrayRef dilation,
    int64_t groups,
    bool benchmark,
    bool deterministic,
    bool allow_tf32) {
  TORCH_CHECK(
      false,
      "cudnn_convolution_transpose: ATen not compiled with cuDNN support");
}

at::Tensor cudnn_convolution_transpose_backward_input(
    const at::Tensor& grad_output,
    const at::Tensor& weight,
    IntArrayRef padding,
    IntArrayRef stride,
    IntArrayRef dilation,
    int64_t groups,
    bool benchmark,
    bool deterministic,
    bool allow_tf32) {
  TORCH_CHECK(
      false,
      "cudnn_convolution_transpose_backward: ATen not compiled with cuDNN support");
}

at::Tensor cudnn_convolution_transpose_backward_weight(
    IntArrayRef weight_size,
    const at::Tensor& grad_output,
    const at::Tensor& input,
    IntArrayRef padding,
    IntArrayRef stride,
    IntArrayRef dilation,
    int64_t groups,
    bool benchmark,
    bool deterministic,
    bool allow_tf32) {
  TORCH_CHECK(
      false,
      "cudnn_convolution_transpose_backward_weight: ATen not compiled with cuDNN support");
}

std::tuple<at::Tensor, at::Tensor> cudnn_convolution_transpose_backward(
    const at::Tensor& input,
    const at::Tensor& grad_output,
    const at::Tensor& weight,
    IntArrayRef padding,
    IntArrayRef output_padding,
    IntArrayRef stride,
    IntArrayRef dilation,
    int64_t groups,
    bool benchmark,
    bool deterministic,
    bool allow_tf32,
    std::array<bool, 2> output_mask) {
  TORCH_CHECK(
      false,
      "cudnn_convolution_transpose_backward: ATen not compiled with cuDNN support");
}

void raw_cudnn_convolution_forward_out(
    const Tensor& output,
    const Tensor& input,
    const Tensor& weight,
    IntArrayRef padding,
    IntArrayRef stride,
    IntArrayRef dilation,
    int64_t groups,
    bool benchmark,
    bool deterministic,
    bool allow_tf32) {
  TORCH_CHECK(
      false,
      "raw_cudnn_convolution_forward_out: ATen not compiled with cuDNN support");
}

void raw_cudnn_convolution_backward_input_out(
    const at::Tensor& grad_input,
    const at::Tensor& grad_output,
    const at::Tensor& weight,
    IntArrayRef padding,
    IntArrayRef stride,
    IntArrayRef dilation,
    int64_t groups,
    bool benchmark,
    bool deterministic,
    bool allow_tf32) {
  TORCH_CHECK(
      false,
      "raw_cudnn_convolution_backward_input_out: ATen not compiled with cuDNN support");
}

void raw_cudnn_convolution_backward_weight_out(
    const Tensor& grad_weight,
    const Tensor& grad_output,
    const Tensor& input,
    IntArrayRef padding,
    IntArrayRef stride,
    IntArrayRef dilation,
    int64_t groups,
    bool benchmark,
    bool deterministic,
    bool allow_tf32) {
  TORCH_CHECK(
      false,
      "raw_cudnn_convolution_backward_weight_out: ATen not compiled with cuDNN support");
}

Tensor cudnn_convolution_relu(
    const Tensor& input_t,
    const Tensor& weight_t,
    const std::optional<Tensor>& bias_t,
    IntArrayRef stride,
    IntArrayRef padding,
    IntArrayRef dilation,
    int64_t groups) {
  TORCH_CHECK(
      false, "cudnn_convolution_relu: ATen not compiled with cuDNN support");
}

Tensor cudnn_convolution_add_relu(
    const Tensor& input_t,
    const Tensor& weight_t,
    const Tensor& z_t,
    const std::optional<Scalar>& alpha,
    const std::optional<Tensor>& bias_t,
    IntArrayRef stride,
    IntArrayRef padding,
    IntArrayRef dilation,
    int64_t groups) {
  TORCH_CHECK(
      false,
      "cudnn_convolution_add_relu: ATen not compiled with cuDNN support");
}

#endif // AT_CUDNN_ENABLED

} // namespace at::native