wehub-resource-sync
120 lines
4.8 KiB
C++
120 lines
4.8 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/compare_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/backends/xpu/xpu_header.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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namespace phi {
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template <typename T, typename XPUType, typename Context>
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void XPUCompareKernelImpl(
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const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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DenseTensor* out,
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std::function<int(xpu::Context*,
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const XPUType*,
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const XPUType*,
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bool*,
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const std::vector<int64_t>&,
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const std::vector<int64_t>&)> func) {
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auto* out_data = dev_ctx.template Alloc<bool>(out);
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if (out->numel() == 0) {
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return;
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}
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auto x_shape = vectorize<int64_t>(x.dims());
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auto y_shape = vectorize<int64_t>(y.dims());
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if (x.dims().size() == 0) {
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x_shape = std::vector<int64_t>({1});
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}
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if (y.dims().size() == 0) {
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y_shape = std::vector<int64_t>({1});
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}
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auto x_data = reinterpret_cast<const XPUType*>(x.data<T>());
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auto y_data = reinterpret_cast<const XPUType*>(y.data<T>());
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int ret =
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func(dev_ctx.x_context(), x_data, y_data, out_data, x_shape, y_shape);
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PADDLE_ENFORCE_XDNN_SUCCESS(ret, "compare op");
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}
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#define DEFINE_XPU_COMPARE_KERNEL(name, functor) \
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template <typename T, typename Context> \
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void name##Kernel(const Context& dev_ctx, \
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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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auto f = [](xpu::Context* xpu_ctx, \
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const XPUType* x, \
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const XPUType* y, \
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bool* z, \
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const std::vector<int64_t>& xshape, \
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const std::vector<int64_t>& yshape) { \
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return functor(xpu_ctx, x, y, z, xshape, yshape); \
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}; \
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XPUCompareKernelImpl<T, XPUType, Context>(dev_ctx, x, y, out, f); \
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}
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DEFINE_XPU_COMPARE_KERNEL(Equal, xpu::broadcast_equal<XPUType>)
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DEFINE_XPU_COMPARE_KERNEL(NotEqual, xpu::broadcast_not_equal<XPUType>)
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DEFINE_XPU_COMPARE_KERNEL(LessThan, xpu::broadcast_less_than<XPUType>)
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DEFINE_XPU_COMPARE_KERNEL(LessEqual, xpu::broadcast_less_equal<XPUType>)
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DEFINE_XPU_COMPARE_KERNEL(GreaterThan, xpu::broadcast_greater_than<XPUType>)
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DEFINE_XPU_COMPARE_KERNEL(GreaterEqual, xpu::broadcast_greater_equal<XPUType>)
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#undef DEFINE_XPU_COMPARE_KERNEL
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} // namespace phi
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PD_REGISTER_KERNEL(less_than,
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XPU,
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ALL_LAYOUT,
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phi::LessThanKernel,
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int,
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int64_t,
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float,
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phi::float16,
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phi::bfloat16) {
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kernel->OutputAt(0).SetDataType(phi::DataType::BOOL);
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}
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#define PD_REGISTER_COMPARE_KERNEL(name, func) \
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PD_REGISTER_KERNEL(name, \
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XPU, \
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ALL_LAYOUT, \
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phi::func##Kernel, \
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int, \
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int64_t, \
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float, \
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phi::float16, \
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phi::bfloat16, \
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bool) { \
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kernel->OutputAt(0).SetDataType(phi::DataType::BOOL); \
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}
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PD_REGISTER_COMPARE_KERNEL(less_equal, LessEqual)
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PD_REGISTER_COMPARE_KERNEL(greater_than, GreaterThan)
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PD_REGISTER_COMPARE_KERNEL(greater_equal, GreaterEqual)
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PD_REGISTER_COMPARE_KERNEL(equal, Equal)
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PD_REGISTER_COMPARE_KERNEL(not_equal, NotEqual)
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