wehub-resource-sync
107 lines
3.8 KiB
Plaintext
107 lines
3.8 KiB
Plaintext
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle/phi/kernels/dropout_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/dropout_impl.cu.h"
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namespace phi {
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template <typename T, typename Context>
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void DropoutRawKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& seed_tensor,
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const Scalar& p,
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bool is_test,
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const std::string& mode,
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int seed,
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bool fix_seed,
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DenseTensor* out,
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DenseTensor* mask) {
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bool upscale_in_train = (mode == "upscale_in_train");
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dev_ctx.template Alloc<T>(out);
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if (mask) {
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dev_ctx.template Alloc<uint8_t>(mask);
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}
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funcs::DropoutFwGPUKernelDriver<T>(dev_ctx,
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is_test,
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p.to<float>(),
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upscale_in_train,
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fix_seed,
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seed,
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x,
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seed_tensor.get_ptr(),
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mask,
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out);
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}
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template <typename T, typename Context>
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void DropoutNdKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& seed_tensor,
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const Scalar& p,
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bool is_test,
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const std::string& mode,
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int seed,
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bool fix_seed,
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const std::vector<int>& axis,
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DenseTensor* out,
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DenseTensor* mask) {
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bool upscale_in_train = (mode == "upscale_in_train");
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dev_ctx.template Alloc<T>(out);
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if (mask) {
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dev_ctx.template Alloc<uint8_t>(mask);
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}
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funcs::DropoutFwGPUKernelDriver<T>(dev_ctx,
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is_test,
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p.to<float>(),
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upscale_in_train,
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fix_seed,
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seed,
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x,
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seed_tensor.get_ptr(),
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mask,
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out,
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true,
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axis);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(dropout,
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GPU,
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ALL_LAYOUT,
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phi::DropoutRawKernel,
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float,
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double,
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phi::bfloat16,
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phi::float16) {
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kernel->InputAt(1).SetBackend(phi::Backend::ALL_BACKEND);
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kernel->OutputAt(1).SetDataType(phi::DataType::UINT8);
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}
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PD_REGISTER_KERNEL(dropout_nd,
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GPU,
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ALL_LAYOUT,
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phi::DropoutNdKernel,
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float,
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double,
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phi::bfloat16,
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phi::float16) {
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kernel->InputAt(1).SetBackend(phi::Backend::ALL_BACKEND);
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kernel->OutputAt(1).SetDataType(phi::DataType::UINT8);
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}
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