wehub-resource-sync
94 lines
3.3 KiB
C++
94 lines
3.3 KiB
C++
// 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/kernels/nll_loss_kernel.h"
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#include "paddle/phi/backends/xpu/enforce_xpu.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, typename Context>
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void NllLossRawKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& label,
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const optional<DenseTensor>& weight,
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int64_t ignore_index,
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const std::string& reduction,
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DenseTensor* out,
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DenseTensor* total_weight) {
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using XPUType = typename XPUTypeTrait<T>::Type;
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const auto& label_type = label.dtype();
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bool label_type_match =
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label_type == DataType::INT32 || label_type == DataType::INT64;
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PADDLE_ENFORCE_EQ(label_type_match,
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true,
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common::errors::InvalidArgument(
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"Input(Label) holds the wrong type, it holds %s, but "
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"desires to be %s or %s",
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label_type,
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DataType::INT32,
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DataType::INT64));
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auto x_data = x.data<XPUType>();
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auto out_data = dev_ctx.template Alloc<XPUType>(out);
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auto weight_data =
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weight.get_ptr() ? weight.get_ptr()->data<XPUType>() : nullptr;
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auto total_weight_data = dev_ctx.template Alloc<XPUType>(total_weight);
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auto x_dims = x.dims();
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std::vector<int64_t> x_shape = vectorize<int64_t>(x_dims);
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int64_t reduction_id = 0;
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if (reduction == "none") {
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reduction_id = 0;
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} else if (reduction == "mean") {
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reduction_id = 1;
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} else if (reduction == "sum") {
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reduction_id = 2;
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}
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int r;
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if (label_type == DataType::INT32) {
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const int* label_data = label.data<int>();
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r = xpu::nll_loss(dev_ctx.x_context(),
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x_data,
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out_data,
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total_weight_data,
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x_shape,
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label_data,
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weight_data,
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reduction_id,
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ignore_index);
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} else if (label_type == DataType::INT64) {
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const int64_t* label_data = label.data<int64_t>();
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r = xpu::nll_loss(dev_ctx.x_context(),
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x_data,
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out_data,
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total_weight_data,
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x_shape,
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label_data,
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weight_data,
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reduction_id,
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ignore_index);
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}
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "nll_loss");
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}
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} // namespace phi
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// TODO(xiongkun): add the non-raw kernel register here.
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PD_REGISTER_KERNEL(nll_loss, XPU, ALL_LAYOUT, phi::NllLossRawKernel, float) {}
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