wehub-resource-sync
99 lines
3.3 KiB
Plaintext
99 lines
3.3 KiB
Plaintext
// Copyright (c) 2023 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/backends/gpu/gpu_launch_config.h"
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#include "paddle/phi/backends/gpu/gpu_primitives.h"
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#include "paddle/phi/common/scalar.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/math_function.h"
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namespace phi {
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using phi::PADDLE_CUDA_NUM_THREADS;
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template <typename InT, typename OutT>
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__global__ void FillOutputKernel(const InT* p_in_data,
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OutT* p_out_data,
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const int64_t numel,
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const int depth) {
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CUDA_KERNEL_LOOP_TYPE(idx, numel, int64_t) {
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PADDLE_ENFORCE(p_in_data[idx] >= 0 && p_in_data[idx] < depth,
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"Illegal index value, Input(input) value should be "
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"greater than or equal to 0, and less than depth [%d], "
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"but received [%lld].",
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depth,
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p_in_data[idx]);
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*(p_out_data + (idx * depth) + p_in_data[idx]) = 1.0;
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}
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}
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template <typename Context, typename InT>
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struct OneHotV2OpCUDAFunctor {
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const DenseTensor* in_;
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DenseTensor* out_;
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const Context& dev_ctx_;
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int depth_;
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OneHotV2OpCUDAFunctor(const DenseTensor* in,
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DenseTensor* out,
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int depth,
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const Context& dev_ctx)
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: in_(in), out_(out), depth_(depth), dev_ctx_(dev_ctx) {}
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template <typename OutT>
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void apply() const {
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auto* p_in_data = in_->data<InT>();
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auto numel = in_->numel();
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auto* p_out_data = dev_ctx_.template Alloc<OutT>(out_);
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if (numel == 0) return;
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auto stream = dev_ctx_.stream();
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funcs::set_constant(dev_ctx_, out_, 0.0);
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auto config = phi::backends::gpu::GetGpuLaunchConfig1D(dev_ctx_, numel);
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FillOutputKernel<<<config.block_per_grid,
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config.thread_per_block,
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0,
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stream>>>(p_in_data, p_out_data, numel, depth_);
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}
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};
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template <typename T, typename Context>
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void OneHotRawKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const Scalar& depth,
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DataType dtype,
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bool allow_out_of_range,
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DenseTensor* out) {
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auto depth_v = depth.to<int>();
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auto out_dims = out->dims();
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if (out_dims[out_dims.size() - 1] == -1) {
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out_dims[out_dims.size() - 1] = depth_v;
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out->Resize(out_dims);
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}
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phi::VisitDataType(
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dtype, OneHotV2OpCUDAFunctor<Context, T>(&x, out, depth_v, dev_ctx));
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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one_hot_raw, GPU, ALL_LAYOUT, phi::OneHotRawKernel, int, int64_t) {
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kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED);
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}
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