repo stringlengths 1 152 ⌀ | file stringlengths 14 221 | code stringlengths 501 25k | file_length int64 501 25k | avg_line_length float64 20 99.5 | max_line_length int64 21 134 | extension_type stringclasses 2
values |
|---|---|---|---|---|---|---|
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/gavgpool-microkernel-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstddef>
#include <c... | 8,830 | 28.241722 | 79 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/gemm-block-sparse-microkernel-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstddef>
#include <c... | 15,424 | 29.009728 | 101 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/global-average-pooling-operator-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cmath>
#include <cstddef>
#include <cstdlib>
#include <f... | 7,107 | 26.984252 | 80 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/hardsigmoid-operator-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstddef>
#include <c... | 5,893 | 26.036697 | 84 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/hardswish-operator-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstddef>
#include <c... | 6,189 | 25.913043 | 82 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/leaky-relu-operator-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstddef>
#include <c... | 6,417 | 25.630705 | 80 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/lut-microkernel-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <cstdlib>
#include ... | 2,195 | 23.131868 | 74 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/lut-norm-microkernel-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <cstdlib>
#include ... | 2,580 | 24.81 | 75 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/max-pooling-operator-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <cstdlib>
#include ... | 23,959 | 30.609499 | 80 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/maxpool-microkernel-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <cstdlib>
#include ... | 5,852 | 21.774319 | 79 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/requantization-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <cstddef>
#include <cstdlib>
#include <algorithm>
#include <cfloat>
#include ... | 14,479 | 29.7431 | 84 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/rmax-microkernel-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <cstdlib>
#include ... | 1,549 | 21.463768 | 74 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/sigmoid-operator-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstddef>
#include <c... | 5,667 | 25.362791 | 80 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/softargmax-operator-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstddef>
#include <c... | 5,428 | 26.281407 | 79 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/tanh-operator-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstddef>
#include <c... | 5,581 | 24.962791 | 79 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/test_utils.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <gtest/gtest.h>
namespace qnnpack {
namespace testing {
enum class Mode {
S... | 1,037 | 27.833333 | 73 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/vadd-microkernel-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <cstdlib>
#include ... | 5,868 | 25.084444 | 75 | h |
null | pytorch-main/aten/src/ATen/native/quantized/cpu/qnnpack/test/zip-microkernel-tester.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <cstddef>
#include <cstdlib>
#include <algorithm>
#include <cfloat>
#include ... | 2,671 | 23.513761 | 74 | h |
null | pytorch-main/aten/src/ATen/native/sparse/FlattenIndicesCommon.h | #pragma once
#include <ATen/Tensor.h>
#include <ATen/native/TensorIterator.h>
#include <ATen/Dispatch.h>
#include <ATen/native/sparse/Macros.h>
#include <ATen/ExpandUtils.h>
#include <ATen/native/SparseTensorUtils.h>
#ifndef AT_PER_OPERATOR_HEADERS
#include <ATen/Functions.h>
#include <ATen/NativeFunctions.h>
#else
#... | 3,349 | 30.308411 | 101 | h |
null | pytorch-main/aten/src/ATen/native/sparse/ParamUtils.h | #pragma once
#include <ATen/core/Tensor.h>
#include <ATen/TensorUtils.h>
#include <tuple>
namespace at {
namespace native {
TORCH_API std::tuple<Tensor, Tensor, int64_t> softmax_sparse_input_preprocessing(
const Tensor& input_,
const int64_t dim_,
const bool half_to_float,
CheckedFrom function_name);... | 590 | 22.64 | 98 | h |
null | pytorch-main/aten/src/ATen/native/sparse/SparseBinaryOpIntersectionCommon.h | #pragma once
#include <ATen/Tensor.h>
#include <ATen/native/TensorIterator.h>
#include <ATen/Dispatch.h>
#include <ATen/native/sparse/Macros.h>
#include <ATen/ExpandUtils.h>
#include <ATen/native/SparseTensorUtils.h>
#ifndef AT_PER_OPERATOR_HEADERS
#include <ATen/Functions.h>
#include <ATen/NativeFunctions.h>
#else
#... | 19,963 | 40.333333 | 123 | h |
null | pytorch-main/aten/src/ATen/native/sparse/SparseCsrTensorMath.h | #pragma once
#include <ATen/Tensor.h>
#include <ATen/core/Scalar.h>
#include <ATen/TensorUtils.h>
#include <ATen/native/ReductionType.h>
#include <ATen/native/cpu/SpmmReduceKernel.h>
namespace at {
namespace native {
namespace sparse {
namespace impl {
// Returns true if all entries of self are zero
// TODO: This ha... | 2,383 | 25.197802 | 87 | h |
null | pytorch-main/aten/src/ATen/native/sparse/SparseTensorMath.h | #pragma once
#include <ATen/native/SparseTensorUtils.h>
namespace at { namespace native {
TORCH_API sparse::SparseTensor& mul_out_sparse_scalar(sparse::SparseTensor& r, const sparse::SparseTensor& t, const Scalar& value);
TORCH_API sparse::SparseTensor& mul_out_sparse_zerodim(sparse::SparseTensor& r, const sparse::S... | 690 | 48.357143 | 132 | h |
null | pytorch-main/aten/src/ATen/native/sparse/ValidateCompressedIndicesCommon.h | #pragma once
#include <ATen/Dispatch.h>
#include <ATen/Tensor.h>
#include <ATen/Utils.h>
#include <ATen/native/TensorIterator.h>
#include <ATen/native/sparse/Macros.h>
#include <ATen/native/SparseTensorUtils.h>
#ifndef AT_PER_OPERATOR_HEADERS
#include <ATen/Functions.h>
#include <ATen/NativeFunctions.h>
#else
#include... | 13,542 | 31.951338 | 97 | h |
null | pytorch-main/aten/src/ATen/native/sparse/cuda/SparseBlasImpl.h | #pragma once
#include <ATen/SparseCsrTensorUtils.h>
#include <ATen/Tensor.h>
#include <ATen/core/Scalar.h>
namespace at {
namespace native {
namespace sparse {
namespace impl {
namespace cuda {
void addmm_out_sparse_csr(
const at::sparse_csr::SparseCsrTensor& mat1,
const Tensor& mat2,
const Scalar& beta,... | 1,249 | 22.148148 | 51 | h |
null | pytorch-main/aten/src/ATen/native/sparse/cuda/cutlass/default_epilogue_tensor_op_row_broadcast.h | /***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are p... | 7,731 | 39.910053 | 111 | h |
null | pytorch-main/aten/src/ATen/native/sparse/cuda/cutlass/default_gemm_sparse_row_broadcast.h | /***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are p... | 8,070 | 41.256545 | 110 | h |
null | pytorch-main/aten/src/ATen/native/sparse/cuda/cutlass/gemm_sparse_row_broadcast.h | /***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are p... | 17,267 | 32.530097 | 102 | h |
null | pytorch-main/aten/src/ATen/native/sparse/cuda/cutlass/sparse_gemm_row_broadcast.h | /***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are p... | 13,632 | 32.74505 | 108 | h |
null | pytorch-main/aten/src/ATen/native/transformers/attention.h | #pragma once
#include <ATen/ATen.h>
#include <c10/macros/Export.h>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/transformers/attention.h>
#include <c10/util/Optional.h>
namespace at {
namespace native {
using fused_sdp_choice_fn = int64_t (*)(const Tensor& query_, const Tensor& key, const Tensor& value... | 1,226 | 28.214286 | 112 | h |
null | pytorch-main/aten/src/ATen/native/transformers/sdp_utils_cpp.h | #pragma once
#include <ATen/Context.h>
#include <ATen/core/Tensor.h>
#include <c10/core/SymFloat.h>
#include <cmath>
#include <cstdint>
namespace sdp {
constexpr int32_t num_backends = 3;
enum class SDPBackend {
error = -1,
math = 0,
flash_attention = 1,
efficient_attention = 2
};
// Note that if this changed... | 856 | 22.805556 | 79 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/flash_attn/fmha.h | /******************************************************************************
* Copyright (c) 2011-2021, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistrib... | 7,298 | 32.948837 | 101 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_api.h | #pragma once
#include <cstddef>
#include <ATen/ATen.h>
#include <c10/util/Exception.h>
namespace pytorch_fmha {
TORCH_API
std::tuple<at::Tensor, at::Tensor, at::Tensor, at::Tensor>
mha_fwd(const at::Tensor &q, // total_q x num_heads x head_size, total_q := \sum_{i=0}^{b} s_i
const at::Tensor &k, ... | 2,218 | 42.509804 | 102 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_fwd_launch_template.h | // Copyright (c) 2022, Tri Dao.
#pragma once
#include <vector>
#include <cuda_fp16.h>
#include <cuda_bf16.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/native/transformers/cuda/flash_attn/fmha.h>
#include <ATen/native/transformers/cuda/flash_attn/static_switch.h>
#include <ATen/native/transformers/cuda/flash... | 4,607 | 46.505155 | 101 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_kernel.h | /******************************************************************************
* Copyright (c) 2011-2021, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistrib... | 3,399 | 41.5 | 100 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_utils.h | /******************************************************************************
* Copyright (c) 2011-2021, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistrib... | 4,921 | 47.732673 | 100 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/flash_attn/gemm.h | /******************************************************************************
* Copyright (c) 2011-2021, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistrib... | 18,091 | 38.93819 | 120 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/flash_attn/gmem_tile.h | /******************************************************************************
* Copyright (c) 2011-2021, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistrib... | 22,937 | 40.32973 | 119 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/flash_attn/kernel_traits.h | /******************************************************************************
* Copyright (c) 2011-2021, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistrib... | 6,155 | 49.459016 | 110 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/flash_attn/static_switch.h | // Inspired by https://github.com/NVIDIA/DALI/blob/main/include/dali/core/static_switch.h
// and https://github.com/pytorch/pytorch/blob/master/aten/src/ATen/Dispatch.h
// and https://github.com/facebookresearch/xformers/blob/main/xformers/csrc/attention/cuda/fmha/gemm_kernel_utils.h#L8
#pragma once
/// @param COND ... | 1,686 | 40.146341 | 118 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/debug_utils.h | /*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <cfloat>
#include <cstdio>
#include <cmath>
/////////////////////////////////... | 10,254 | 47.601896 | 108 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/gemm_kernel_utils.h | /*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <cutlass/arch/mma.h>
///////////////////////////////////////////////////////... | 8,608 | 39.995238 | 80 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/pytorch_utils.h | /*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <ATen/core/TensorBody.h>
#include <c10/util/Exception.h>
#include <cutlass/b... | 2,425 | 25.955556 | 78 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/epilogue/epilogue_pipelined.h | /***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights
*reserved. SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are pe... | 22,387 | 34.256693 | 100 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/epilogue/epilogue_rescale_output.h | /*! \file
\brief Epilogue for threadblock scoped GEMMs using Tensor Ops.
The epilogue rearranges the result of a matrix product through shared memory
to match canonical tensor layouts in global memory. Epilogues support
conversion and reduction operations.
This is a copy of cutlass/epilogue/threadblock/epil... | 7,426 | 30.604255 | 97 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/epilogue/epilogue_thread_apply_logsumexp.h | /***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights
*reserved. SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are pe... | 6,147 | 33.539326 | 100 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/gemm/custom_mma.h | /*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <ATen/native/transformers/cuda/mem_eff_attention/gemm/custom_mma_multistage.h... | 2,491 | 23.673267 | 87 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/gemm/custom_mma_base.h | /***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights
*reserved. SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are pe... | 6,241 | 32.923913 | 100 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/gemm/custom_mma_pipelined.h | /***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights
*reserved. SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are pe... | 14,144 | 34.099256 | 100 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/gemm/find_default_mma.h | /*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
/*! \file
\brief Cutlass provides helper template functions to figure out the right
data stru... | 5,175 | 29.809524 | 80 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/gemm/mma_accum_lambda_iterator.h | /*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <cutlass/functional.h>
#include <cutlass/gemm/warp/mma_simt_tile_iterator.h>
... | 12,350 | 33.791549 | 111 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/iterators/default_warp_iterator_from_smem.h | /***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights
*reserved. SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are pe... | 5,827 | 39.472222 | 100 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/iterators/epilogue_predicated_tile_iterator.h | /***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights
*reserved. SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are pe... | 23,855 | 30.681275 | 100 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/iterators/make_residual_last.h | /*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <ATen/native/transformers/cuda/mem_eff_attention/iterators/predicated_tile_ac... | 1,650 | 21.013333 | 116 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/iterators/transpose_warp_iterator.h | /*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <ATen/native/transformers/cuda/mem_eff_attention/iterators/warp_iterator_from... | 961 | 29.0625 | 94 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/iterators/warp_iterator_from_smem.h | /***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights
*reserved. SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are pe... | 10,055 | 34.284211 | 123 | h |
null | pytorch-main/aten/src/ATen/native/transformers/cuda/mem_eff_attention/transform/tile_smem_loader.h | /*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <cutlass/cutlass.h>
#include <cutlass/aligned_buffer.h>
#include <cutlass/arr... | 2,152 | 31.134328 | 80 | h |
null | pytorch-main/aten/src/ATen/native/ufunc/add.h | #pragma once
#include <c10/macros/Macros.h>
#if !defined(__CUDACC__) && !defined(__HIPCC__)
#include <ATen/cpu/vec/functional.h>
#include <ATen/cpu/vec/vec.h>
#endif
namespace at {
namespace native {
namespace ufunc {
template <typename T>
C10_HOST_DEVICE C10_ALWAYS_INLINE T add(T self, T other, T alpha) __ubsan_ig... | 680 | 23.321429 | 126 | h |
null | pytorch-main/aten/src/ATen/native/utils/Factory.h | #pragma once
#include <ATen/core/Tensor.h>
namespace at {
namespace native {
namespace mobile {
Tensor allocate_padded_contiguous_if_needed(
const Tensor& input,
c10::MemoryFormat memory_format);
// TODO: Remove this function when at::native::empty() is modified to accept a
// custom memory allocator.
at::... | 553 | 21.16 | 78 | h |
null | pytorch-main/aten/src/ATen/native/utils/ParamUtils.h | #pragma once
#include <c10/util/ArrayRef.h>
#include <vector>
namespace at {
namespace native {
template <typename T>
inline std::vector<T> _expand_param_if_needed(
ArrayRef<T> list_param,
const char* param_name,
int64_t expected_dim) {
if (list_param.size() == 1) {
return std::vector<T>(expected_d... | 1,188 | 26.651163 | 76 | h |
null | pytorch-main/aten/src/ATen/native/utils/ParamsHash.h | #pragma once
#include <memory>
#include <mutex>
namespace at::native {
// Hashing machinery for Params
// Fowler–Noll–Vo hash function
// see https://en.wikipedia.org/wiki/Fowler%E2%80%93Noll%E2%80%93Vo_hash_function
template <typename Params>
struct ParamsHash {
// Params must be a POD because we read out its mem... | 3,013 | 30.072165 | 115 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/VulkanOpaqueTensorImpl.h | #pragma once
#include <ATen/OpaqueTensorImpl.h>
namespace at {
// The only difference from OpaqueTensorImpl is faking strides(), stride(),
// is_contiguous(). The main intention for this is to be able to run torchscript
// model on Vulkan backend. Strides are not supported on Vulkan side, plan to
// support them.
tem... | 1,405 | 26.568627 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/Adapter.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Common.h>
#include <ATen/native/vulkan/api/Pipeline.h>
#include <ATen/native/vulkan/api/Shader.h>
#include <ATen/native/vulkan/api/Utils.h>
#include <mutex>
#include <ostream>
namespace at {
namespace native {
namespace vulkan {
namespace api {
st... | 5,390 | 23.958333 | 78 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/Allocator.h | #pragma once
//
// Do NOT include vk_mem_alloc.h directly.
// Always include this file (Allocator.h) instead.
//
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Common.h>
#define VMA_VULKAN_VERSION 1000000
#ifdef USE_VULKAN_WRAPPER
#define VMA_STATIC_VULKAN_FUNCTIONS 0
#else
#define VMA_DYNAMIC_VULKAN_FUNCT... | 1,338 | 22.491228 | 63 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/Command.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Common.h>
#include <ATen/native/vulkan/api/Descriptor.h>
#include <ATen/native/vulkan/api/Pipeline.h>
#include <ATen/native/vulkan/api/Resource.h>
#include <ATen/native/vulkan/api/Shader.h>
#include <c10/util/ArrayRef.h>
namespace at {
namespace nat... | 4,362 | 23.931429 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/Common.h | #pragma once
#ifdef USE_VULKAN_API
#include <c10/util/Exception.h>
#include <utility>
#include <ATen/native/vulkan/api/vk_api.h>
/*
* Check that the return code of a Vulkan API call is VK_SUCCESS, throwing an
* error with the returned code if not. If STRIP_ERROR_MESSAGES is defined then
* only the return code wi... | 1,881 | 42.767442 | 79 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/Context.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Adapter.h>
#include <ATen/native/vulkan/api/Command.h>
#include <ATen/native/vulkan/api/Common.h>
#include <ATen/native/vulkan/api/Descriptor.h>
#include <ATen/native/vulkan/api/Pipeline.h>
#include <ATen/native/vulkan/api/QueryPool.h>
#include <ATen... | 13,068 | 26.630021 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/Descriptor.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Common.h>
#include <ATen/native/vulkan/api/Resource.h>
#include <ATen/native/vulkan/api/Shader.h>
#include <c10/util/flat_hash_map.h>
namespace at {
namespace native {
namespace vulkan {
namespace api {
class DescriptorSet final {
public:
explic... | 3,220 | 23.037313 | 71 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/Pipeline.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Common.h>
#include <ATen/native/vulkan/api/Resource.h>
#include <ATen/native/vulkan/api/Shader.h>
#include <c10/util/SmallVector.h>
#include <c10/util/flat_hash_map.h>
#include <mutex>
namespace at {
namespace native {
namespace vulkan {
namespace ... | 4,899 | 24.128205 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/QueryPool.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Adapter.h>
#include <ATen/native/vulkan/api/Command.h>
#include <ATen/native/vulkan/api/Common.h>
#include <ATen/native/vulkan/api/Pipeline.h>
namespace at {
namespace native {
namespace vulkan {
namespace api {
struct QueryPoolConfig final {
uin... | 3,019 | 24.166667 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/Resource.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Allocator.h>
#include <ATen/native/vulkan/api/Utils.h>
#include <c10/core/ScalarType.h>
#include <c10/util/flat_hash_map.h>
#include <c10/util/typeid.h>
#include <stack>
namespace at {
namespace native {
namespace vulkan {
namespace api {
typedef... | 11,427 | 21.147287 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/Runtime.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Adapter.h>
#include <ATen/native/vulkan/api/Common.h>
namespace at {
namespace native {
namespace vulkan {
namespace api {
//
// A Vulkan Runtime initializes a Vulkan instance and decouples the concept of
// Vulkan instance initialization from inti... | 2,667 | 25.156863 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/Shader.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Common.h>
#include <ATen/native/vulkan/api/Types.h>
#include <ATen/native/vulkan/api/Utils.h>
#include <c10/util/flat_hash_map.h>
#include <c10/util/hash.h>
#include <mutex>
namespace at {
namespace native {
namespace vulkan {
namespace api {
clas... | 4,942 | 23.839196 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/Tensor.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Context.h>
#include <c10/core/MemoryFormat.h>
#include <c10/util/accumulate.h>
namespace at {
namespace native {
namespace vulkan {
struct LastAccess {
api::PipelineStageFlags stage;
api::MemoryAccessFlags access;
LastAccess()
: stage{... | 8,328 | 25.525478 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/Utils.h | #pragma once
#include <c10/util/ArrayRef.h>
#include <c10/util/Half.h> // For c10::overflows
#include <ATen/native/vulkan/api/Common.h>
#ifdef USE_VULKAN_API
namespace at {
namespace native {
namespace vulkan {
namespace api {
namespace utils {
//
// Alignment
//
template <typename Type>
inline constexpr Type ali... | 4,745 | 23.590674 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/api/api.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Common.h>
#include <ATen/native/vulkan/api/Adapter.h>
#include <ATen/native/vulkan/api/Command.h>
#include <ATen/native/vulkan/api/Context.h>
#include <ATen/native/vulkan/api/Descriptor.h>
#include <ATen/native/vulkan/api/Pipeline.h>
#include <ATen/... | 551 | 28.052632 | 46 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/glsl/texel_access.h | /*
* Texel access utility functions
*/
// Broadcasting: compute input texel position from broadcasted output position
ivec3 map_output_pos_to_input_pos(
ivec3 output_pos,
ivec4 output_sizes,
ivec4 input_sizes) {
ivec3 input_pos;
// HW: use modulo
input_pos.xy = output_pos.xy % input_sizes.xy;
if ... | 1,029 | 29.294118 | 78 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/graph/Constant.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Context.h>
namespace at {
namespace native {
namespace vulkan {
/*
* Represents a reference to a tensor that has been serialized with the model,
* such as a serialized weight tensor. It contains some metadata as well as a
* raw pointer to the da... | 870 | 21.921053 | 78 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/graph/Copy.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/graph/Graph.h>
namespace at {
namespace native {
namespace vulkan {
void add_copy_node(ComputeGraph& graph, const ValueRef from, const ValueRef to);
ValueRef add_copy_node(ComputeGraph& graph, const ValueRef from);
class CopyNode : public virtual OpNo... | 550 | 20.192308 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/graph/Exception.h | #pragma once
#ifdef USE_VULKAN_API
#include <exception>
#include <ostream>
namespace at {
namespace native {
namespace vulkan {
/*
* Same as c10::SourceLocation, represents a location in source code
*/
struct SourceLocation {
const char* func;
const char* file;
uint32_t line;
};
std::ostream& operator<<(st... | 1,567 | 21.4 | 71 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/graph/Graph.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/Context.h>
#include <ATen/native/vulkan/api/Tensor.h>
#include <ATen/native/vulkan/graph/Config.h>
#include <ATen/native/vulkan/graph/Exception.h>
#include <ATen/native/vulkan/graph/Value.h>
namespace at {
namespace native {
namespace vulkan {
typ... | 4,142 | 23.957831 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/graph/Staging.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/graph/Graph.h>
namespace at {
namespace native {
namespace vulkan {
//
// Functions to memcpy data into staging buffer
//
void memcpy_to_mapping(
const void* src,
api::MemoryMap& dst_mapping,
const size_t nbytes,
const c10::ScalarType ... | 1,901 | 20.370787 | 74 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/impl/Common.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/api/api.h>
#include <ATen/native/vulkan/impl/Registry.h>
#define VK_KERNEL(shader_name) \
::at::native::vulkan::get_shader_info(#shader_name)
#define VK_LOOKUP_KERNEL(op_name) \
::at::native::vulkan::look_up_shader_info(#op_name)
namespace at {
nam... | 2,341 | 26.232558 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/impl/Packing.h | #include <ATen/native/vulkan/api/api.h>
namespace at {
namespace native {
namespace vulkan {
namespace packing {
api::ShaderInfo get_nchw_to_image_shader(const vTensor& v_dst);
api::ShaderInfo get_image_to_nchw_shader(const vTensor& v_src);
void record_nchw_to_image_op(
api::Context* const context,
api::Shad... | 1,185 | 25.355556 | 63 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/ops/Batchnorm.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/ops/Common.h>
#include <ATen/native/vulkan/ops/VulkanPackedContext.h>
#include <torch/library.h>
namespace at {
namespace native {
namespace vulkan {
namespace ops {
class BatchNormPackedContext final : virtual public VulkanPackedContext,
... | 1,867 | 26.072464 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/ops/Common.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/core/List.h>
#include <ATen/core/Tensor.h>
#include <ATen/native/vulkan/api/api.h>
#include <ATen/native/vulkan/impl/Common.h>
#include <ATen/native/vulkan/ops/Convert.h>
#define VK_KERNEL(shader_name) \
::at::native::vulkan::get_shader_info(#shader_name)
#define V... | 2,620 | 26.589474 | 77 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/ops/Convert.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/VulkanOpaqueTensorImpl.h>
#include <ATen/native/vulkan/api/Tensor.h>
#include <c10/util/accumulate.h>
namespace at {
namespace native {
namespace vulkan {
namespace ops {
using vTensorImpl = VulkanOpaqueTensorImpl<vTensor>;
inline Tensor convert(const... | 1,294 | 23.903846 | 71 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/ops/Convolution.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/ops/Common.h>
#include <ATen/native/vulkan/ops/VulkanPackedContext.h>
namespace at {
namespace native {
namespace vulkan {
namespace ops {
enum Conv2dMethod {
Conv2dDepthwise,
Conv2dPointwise,
Conv2dSlidingWindow,
};
namespace conv2d {
Tensor r... | 6,555 | 28.00885 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/ops/Copy.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/ops/Common.h>
namespace at {
namespace native {
namespace vulkan {
namespace ops {
void transfer_cpu_to_vulkan(const Tensor&, vTensor&);
void transfer_vulkan_to_cpu(vTensor&, Tensor&);
void pack_cpu_to_vulkan(const Tensor& src, vTensor& dst);
void p... | 2,068 | 24.8625 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/ops/Factory.h | #include <ATen/native/vulkan/ops/Common.h>
namespace at {
namespace native {
namespace vulkan {
namespace ops {
Tensor _empty_affine_quantized(
const IntArrayRef sizes,
const c10::optional<ScalarType> dtype,
const c10::optional<c10::Layout> layout,
const c10::optional<Device> device,
const c10::op... | 530 | 23.136364 | 48 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/ops/Gru.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/ops/Common.h>
#include <ATen/native/vulkan/ops/VulkanPackedContext.h>
#include <torch/library.h>
namespace at {
namespace native {
namespace vulkan {
namespace ops {
class GruPackedContext final : virtual public VulkanPackedContext,
... | 2,176 | 25.876543 | 69 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/ops/Lstm.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/ops/Common.h>
#include <ATen/native/vulkan/ops/VulkanPackedContext.h>
#include <torch/library.h>
namespace at {
namespace native {
namespace vulkan {
namespace ops {
class LstmPackedContext final : virtual public VulkanPackedContext,
... | 2,308 | 27.158537 | 70 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/ops/Mm.h | #pragma once
#ifdef USE_VULKAN_API
#include <ATen/native/vulkan/ops/Common.h>
#include <ATen/native/vulkan/ops/VulkanPackedContext.h>
#include <torch/library.h>
namespace at {
namespace native {
namespace vulkan {
namespace ops {
class LinearPackedContext final : virtual public VulkanPackedContext,
... | 1,635 | 23.41791 | 80 | h |
null | pytorch-main/aten/src/ATen/native/vulkan/ops/QuantizedFunctions.h | #include <ATen/native/vulkan/ops/Common.h>
namespace at {
namespace native {
namespace vulkan {
namespace ops {
Tensor quantize_per_tensor(
const at::Tensor& input_arg,
const double scale,
const int64_t zero_point,
const c10::ScalarType dtype);
Tensor dequantize_helper(
const at::Tensor& input_ar... | 1,528 | 21.820896 | 42 | h |
null | pytorch-main/aten/src/ATen/native/xnnpack/Common.h | #pragma once
#ifdef USE_XNNPACK
#include <xnnpack.h>
#include <caffe2/utils/threadpool/pthreadpool-cpp.h>
#include <c10/util/ArrayRef.h>
#include <limits>
#include <memory>
namespace at::native::xnnpack {
struct Deleter final {
void operator()(const xnn_operator_t op) const {
xnn_delete_operator(op);
}
};
... | 3,436 | 25.643411 | 100 | h |
null | pytorch-main/aten/src/ATen/native/xnnpack/Convolution.h | #pragma once
#ifdef USE_XNNPACK
#include <ATen/Tensor.h>
#include <ATen/native/xnnpack/Common.h>
#include <ATen/native/xnnpack/OpContext.h>
namespace at::native::xnnpack {
namespace internal::convolution2d {
c10::intrusive_ptr<xnnpack::Conv2dOpContext>
createConv2dClampPrePackOpContext(
Tensor weight,
... | 2,062 | 27.260274 | 77 | h |
null | pytorch-main/aten/src/ATen/native/xnnpack/Linear.h | #pragma once
#ifdef USE_XNNPACK
#include <ATen/Tensor.h>
#include <ATen/native/xnnpack/Common.h>
#include <ATen/native/xnnpack/OpContext.h>
namespace at::native::xnnpack {
namespace internal::linear {
c10::intrusive_ptr<xnnpack::LinearOpContext> createLinearClampPrePackOpContext(
Tensor weight,
c10::optiona... | 1,088 | 23.2 | 109 | h |
null | pytorch-main/aten/src/ATen/native/xnnpack/OpContext.h | #pragma once
#ifdef USE_XNNPACK
#include <ATen/core/ivalue.h>
#include <ATen/native/xnnpack/Common.h>
#include <ATen/Tensor.h>
namespace at::native::xnnpack {
using SerializationTypeLinearPrePack = std::tuple<
Tensor,
c10::optional<Tensor>,
c10::optional<Scalar>,
c10::optional<Scalar>>;
using Serial... | 7,270 | 28.200803 | 90 | h |
null | pytorch-main/aten/src/ATen/native/xnnpack/Pooling.h | #pragma once
#ifdef USE_XNNPACK
#include <ATen/Tensor.h>
namespace at::native::xnnpack::internal::pooling {
struct Parameters final {
std::array<int64_t, 2> kernel;
std::array<int64_t, 2> padding;
std::array<int64_t, 2> stride;
std::array<int64_t, 2> dilation;
explicit Parameters(
const IntArrayRe... | 1,004 | 22.372093 | 81 | h |
null | pytorch-main/aten/src/ATen/nnapi/NeuralNetworks.h | /*
* Copyright (C) 2017 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by app... | 2,757 | 31.447059 | 75 | h |
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