// 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/uniform_random_kernel.h" #include "paddle/phi/common/int_array.h" #include "paddle/phi/common/scalar.h" #include "paddle/phi/core/dense_tensor.h" #include "paddle/phi/core/device_context.h" #include "paddle/phi/core/kernel_registry.h" #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) #include "paddle/phi/backends/gpu/gpu_context.h" #endif #ifdef PADDLE_WITH_XPU #include "paddle/phi/backends/xpu/xpu_context.h" #endif namespace phi { template void UniformRandomKernel(const Context& dev_ctx, const IntArray& shape, DataType dtype, const Scalar& min, const Scalar& max, int seed, DenseTensor* out) { UniformRandomRawKernel( dev_ctx, shape, dtype, min, max, seed, 0, 0, 0.0f, out); } } // namespace phi PD_REGISTER_KERNEL(uniform_random, CPU, ALL_LAYOUT, phi::UniformRandomKernel, float, double, phi::dtype::bfloat16) {} #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) PD_REGISTER_KERNEL( uniform_random, GPU, ALL_LAYOUT, phi::UniformRandomKernel, float, double) {} #endif #ifdef PADDLE_WITH_XPU PD_REGISTER_KERNEL( uniform_random, XPU, ALL_LAYOUT, phi::UniformRandomKernel, float) {} #endif