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- #pragma once
- // @generated by torchgen/gen.py from NativeFunction.h
- #include <c10/core/Scalar.h>
- #include <c10/core/Storage.h>
- #include <c10/core/TensorOptions.h>
- #include <c10/util/Deprecated.h>
- #include <c10/util/Optional.h>
- #include <c10/core/QScheme.h>
- #include <ATen/core/Reduction.h>
- #include <ATen/core/Tensor.h>
- #include <tuple>
- #include <vector>
- #include <ATen/ops/avg_pool2d_meta.h>
- namespace at {
- namespace native {
- struct TORCH_API structured_avg_pool2d_out_cpu : public at::meta::structured_avg_pool2d {
- void impl(const at::Tensor & self, int64_t kH, int64_t kW, int64_t dH, int64_t dW, int64_t padH, int64_t padW, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override, const at::Tensor & out);
- };
- struct TORCH_API structured_avg_pool2d_out_cuda : public at::meta::structured_avg_pool2d {
- void impl(const at::Tensor & self, int64_t kH, int64_t kW, int64_t dH, int64_t dW, int64_t padH, int64_t padW, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override, const at::Tensor & out);
- };
- TORCH_API at::Tensor mkldnn_avg_pool2d(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, bool ceil_mode=false, bool count_include_pad=true, c10::optional<int64_t> divisor_override=c10::nullopt);
- TORCH_API at::Tensor & mkldnn_avg_pool2d_out(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override, at::Tensor & out);
- TORCH_API at::Tensor avg_pool2d_quantized_cpu(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, bool ceil_mode=false, bool count_include_pad=true, c10::optional<int64_t> divisor_override=c10::nullopt);
- } // namespace native
- } // namespace at
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