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Summary: Partially fixes https://github.com/pytorch/pytorch/issues/38911 Pull Request resolved: https://github.com/pytorch/pytorch/pull/39681 Differential Revision: D22161342 Pulled By: mrshenli fbshipit-source-id: 60295077159b02087823e93bb6ebac9d70adea0a
47 lines
1.5 KiB
C++
47 lines
1.5 KiB
C++
#pragma once
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#include <ATen/ATen.h>
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#include <torch/csrc/WindowsTorchApiMacro.h>
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#include <ATen/cuda/ATenCUDAGeneral.h>
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#include <ATen/cuda/CUDAContext.h>
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#include <c10/util/Optional.h>
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#include <cstddef>
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#include <vector>
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namespace torch { namespace cuda {
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using tensor_list2d = std::vector<std::vector<at::Tensor>>;
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TORCH_CUDA_API std::vector<at::Tensor>& broadcast_out(const at::Tensor& tensor, std::vector<at::Tensor>& out_tensors);
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TORCH_CUDA_API std::vector<at::Tensor> broadcast(const at::Tensor& tensor, at::IntArrayRef devices);
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TORCH_CUDA_API tensor_list2d broadcast_coalesced(at::TensorList tensors, at::IntArrayRef devices,
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size_t buffer_size);
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TORCH_CUDA_API std::vector<at::Tensor>& scatter_out(
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const at::Tensor& tensor,
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std::vector<at::Tensor>& out_tensors,
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int64_t dim = 0,
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const c10::optional<std::vector<c10::optional<at::cuda::CUDAStream>>>& streams =
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c10::nullopt);
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TORCH_CUDA_API std::vector<at::Tensor> scatter(
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const at::Tensor& tensor,
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at::IntArrayRef devices,
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const c10::optional<std::vector<int64_t>>& chunk_sizes = c10::nullopt,
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int64_t dim = 0,
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const c10::optional<std::vector<c10::optional<at::cuda::CUDAStream>>>& streams =
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c10::nullopt);
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TORCH_CUDA_API at::Tensor& gather_out(
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at::TensorList tensors,
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at::Tensor& out_tensor,
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int64_t dim);
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TORCH_CUDA_API at::Tensor gather(
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at::TensorList tensors,
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int64_t dim,
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c10::optional<int32_t> destination_index);
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}}
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