// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. // // 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 applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include "paddle/phi/kernels/sparse/unary_kernel.h" #include "paddle/phi/backends/gpu/gpu_context.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/kernels/funcs/elementwise_base.h" #include "paddle/phi/kernels/scale_kernel.h" #include "paddle/phi/kernels/sparse/impl/unary_kernel_impl.h" namespace phi { namespace sparse { template void DivScalarCooKernel(const Context& dev_ctx, const SparseCooTensor& x, float scalar, SparseCooTensor* out) { EmptyLikeCooKernel(dev_ctx, x, out); phi::ScaleKernel( dev_ctx, x.values(), 1 / scalar, 0.0f, false, out->mutable_values()); } template void DivScalarCsrKernel(const Context& dev_ctx, const SparseCsrTensor& x, float scalar, SparseCsrTensor* out) { EmptyLikeCsrKernel(dev_ctx, x, out); phi::ScaleKernel( dev_ctx, x.values(), 1 / scalar, 0.0f, false, out->mutable_values()); } } // namespace sparse } // namespace phi #define PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(name, prefix) \ PD_REGISTER_KERNEL(name##_coo, \ GPU, \ ALL_LAYOUT, \ phi::sparse::prefix##CooKernel, \ phi::float16, \ float, \ double) { \ kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO); \ } \ \ PD_REGISTER_KERNEL(name##_csr, \ GPU, \ ALL_LAYOUT, \ phi::sparse::prefix##CsrKernel, \ phi::float16, \ float, \ double) { \ kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR); \ } #define PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(name, prefix) \ PD_REGISTER_KERNEL(name##_coo, \ GPU, \ ALL_LAYOUT, \ phi::sparse::prefix##CooKernel, \ phi::float16, \ float, \ double, \ phi::complex64, \ phi::complex128) { \ kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO); \ } \ \ PD_REGISTER_KERNEL(name##_csr, \ GPU, \ ALL_LAYOUT, \ phi::sparse::prefix##CsrKernel, \ phi::float16, \ float, \ double, \ phi::complex64, \ phi::complex128) { \ kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR); \ } PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(sqrt, Sqrt) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(relu, Relu) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(pow, Pow) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(scale, Scale) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(relu6, Relu6) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL(leaky_relu, LeakyRelu) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(asin, Asin) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(asinh, Asinh) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(atanh, Atanh) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(expm1, Expm1) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(log1p, Log1p) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(square, Square) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(tanh, Tanh) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(sinh, Sinh) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(tan, Tan) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(sin, Sin) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(abs, Abs) PD_REGISTER_SPARSE_UNARY_GPU_KERNEL_WITH_COMPLEX(atan, Atan) PD_REGISTER_KERNEL(divide_scalar_coo, GPU, ALL_LAYOUT, phi::sparse::DivScalarCooKernel, float, double) { kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO); } PD_REGISTER_KERNEL(divide_scalar_csr, GPU, ALL_LAYOUT, phi::sparse::DivScalarCsrKernel, float, double) { kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR); } PD_REGISTER_KERNEL(cast_coo, GPU, ALL_LAYOUT, phi::sparse::CastCooKernel, phi::float16, float, double, int8_t, uint8_t, int16_t, int, int64_t, bool) {} PD_REGISTER_KERNEL(cast_csr, GPU, ALL_LAYOUT, phi::sparse::CastCsrKernel, phi::float16, float, double, int8_t, uint8_t, int16_t, int, int64_t, bool) {} PD_REGISTER_KERNEL(isnan_coo, GPU, ALL_LAYOUT, phi::sparse::IsnanCooKernel, float, double, phi::float16, int, int64_t) { kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO); } PD_REGISTER_KERNEL(isnan_csr, GPU, ALL_LAYOUT, phi::sparse::IsnanCsrKernel, float, double, phi::float16, int, int64_t) { kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR); }