wehub-resource-sync
60 lines
1.9 KiB
Plaintext
60 lines
1.9 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/trunc_grad_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/backends/gpu/gpu_info.h"
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#include "paddle/phi/backends/gpu/gpu_primitives.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T>
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__global__ void TruncGrad(T* dx, int64_t N) {
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CUDA_KERNEL_LOOP_TYPE(index, N, int64_t) { dx[index] = static_cast<T>(0.0); }
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}
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template <typename T, typename Context>
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void TruncGradKernel(const Context& dev_ctx,
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const DenseTensor& out_grad,
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DenseTensor* in_grad) {
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const auto* out_grad_data = out_grad.data<T>();
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T* in_grad_data = dev_ctx.template Alloc<T>(in_grad);
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if (out_grad.numel() == 0) {
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return;
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}
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int64_t numel = out_grad.numel();
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int threads = PADDLE_CUDA_NUM_THREADS;
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int64_t blocks_grid = dev_ctx.GetCUDAMaxGridDimSize()[0];
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int blocks = std::min((numel + threads - 1) / threads, blocks_grid);
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TruncGrad<<<blocks, threads>>>(in_grad_data, numel);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(trunc_grad,
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GPU,
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ALL_LAYOUT,
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phi::TruncGradKernel,
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float,
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double,
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int,
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int64_t,
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phi::float16,
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phi::bfloat16) {}
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