wehub-resource-sync
78 lines
2.5 KiB
C++
78 lines
2.5 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/norm_kernel.h"
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#include <vector>
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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 NormKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int axis,
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float epsilon,
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bool is_test,
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DenseTensor* out,
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DenseTensor* norm) {
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using XPUType = typename XPUTypeTrait<T>::Type;
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dev_ctx.template Alloc<T>(out);
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dev_ctx.template Alloc<T>(norm);
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std::vector<int64_t> xshape;
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auto x_dims = x.dims();
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auto x_dims_size = x_dims.size();
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xshape.resize(x_dims_size);
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if (axis < 0) {
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axis += x_dims_size;
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}
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PADDLE_ENFORCE_GE(
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axis,
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0,
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common::errors::InvalidArgument("axis must be greater than or equal to 0."
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"But received axis: %d.",
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axis));
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PADDLE_ENFORCE_LT(axis,
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x_dims_size,
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common::errors::InvalidArgument(
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"Attr(axis) value must be less than rank of Input(X)"
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"But received axis: %d, rank: %d.",
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axis,
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x_dims_size));
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for (int i = 0; i < x_dims_size; i++) {
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xshape[i] = x_dims[i];
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}
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int r = xpu::l2_norm(dev_ctx.x_context(),
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reinterpret_cast<const XPUType*>(x.data<T>()),
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reinterpret_cast<XPUType*>(out->data<T>()),
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reinterpret_cast<XPUType*>(norm->data<T>()),
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xshape,
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axis,
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epsilon);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "l2_norm");
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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norm, XPU, ALL_LAYOUT, phi::NormKernel, float, phi::float16) {}
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// TODO(zhangyikun02): add bfloat16 when xpu support it
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