wehub-resource-sync
72 lines
2.3 KiB
C++
72 lines
2.3 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/where_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 WhereKernel(const Context& dev_ctx,
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const DenseTensor& condition,
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const DenseTensor& x,
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const DenseTensor& y,
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DenseTensor* out) {
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using XPUType = typename XPUTypeTrait<T>::Type;
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const bool* cond_data = condition.data<bool>();
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const XPUType* x_data = reinterpret_cast<const XPUType*>(x.data<T>());
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const XPUType* y_data = reinterpret_cast<const XPUType*>(y.data<T>());
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XPUType* out_data =
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reinterpret_cast<XPUType*>(dev_ctx.template Alloc<T>(out));
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if (out && out->numel() == 0) {
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return;
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}
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auto cond_dims = vectorize<int64_t>(condition.dims());
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auto x_dims = vectorize<int64_t>(x.dims());
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// use [1] to replace [], because xpu not support []
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if (cond_dims.size() == 0) {
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cond_dims = std::vector<int64_t>({1});
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}
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if (x_dims.size() == 0) {
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x_dims = std::vector<int64_t>({1});
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}
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int ret = xpu::where(dev_ctx.x_context(),
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cond_data,
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x_data,
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y_data,
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out_data,
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cond_dims,
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x_dims);
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PADDLE_ENFORCE_XDNN_SUCCESS(ret, "where");
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}
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} // namespace phi
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PD_REGISTER_KERNEL(where,
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XPU,
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ALL_LAYOUT,
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phi::WhereKernel,
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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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