wehub-resource-sync
46 lines
1.7 KiB
C++
46 lines
1.7 KiB
C++
// 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/one_hot_kernel.h"
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#include "paddle/phi/backends/xpu/enforce_xpu.h"
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#include "paddle/phi/backends/xpu/xpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/utils/data_type.h"
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namespace phi {
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template <typename T, typename Context>
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void OneHotKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const Scalar& depth,
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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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auto* p_in_data = x.data<T>();
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auto numel = x.numel();
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auto* p_out_data = dev_ctx.template Alloc<float>(out);
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if (numel == 0) return;
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int r = xpu::one_hot<T>(
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dev_ctx.x_context(), p_in_data, p_out_data, numel, depth_v, 1.0, 0.0);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "one_hot");
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}
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} // namespace phi
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PD_REGISTER_KERNEL(one_hot, XPU, ALL_LAYOUT, phi::OneHotKernel, int, int64_t) {
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kernel->OutputAt(0).SetDataType(phi::DataType::FLOAT32);
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}
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