chore: import upstream snapshot with attribution
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// 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/core/dense_tensor.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/elementwise_base.h"
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#include "paddle/phi/kernels/impl/compare_kernel_impl.h"
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namespace phi {
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template <typename T,
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typename Context,
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typename Functor,
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typename InverseFunctor>
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inline void CompareRawKernelImpl(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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int axis,
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DenseTensor* out) {
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dev_ctx.template Alloc<bool>(out);
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if (x.dims().size() >= y.dims().size()) {
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funcs::ElementwiseCompute<Functor, T, bool>(
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dev_ctx, x, y, Functor(), out, axis);
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} else {
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funcs::ElementwiseCompute<InverseFunctor, T, bool>(
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dev_ctx, x, y, InverseFunctor(), out, axis);
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}
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}
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template <typename T, typename Context>
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void LessThanRawKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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int axis,
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DenseTensor* out) {
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CompareRawKernelImpl<T,
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Context,
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funcs::LessThanFunctor<T>,
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funcs::GreaterThanFunctor<T>>(dev_ctx, x, y, axis, out);
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}
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template <typename T, typename Context>
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void LessEqualRawKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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int axis,
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DenseTensor* out) {
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CompareRawKernelImpl<T,
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Context,
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funcs::LessEqualFunctor<T>,
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funcs::GreaterEqualFunctor<T>>(dev_ctx, x, y, axis, out);
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}
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template <typename T, typename Context>
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void GreaterThanRawKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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int axis,
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DenseTensor* out) {
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CompareRawKernelImpl<T,
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Context,
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funcs::GreaterThanFunctor<T>,
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funcs::LessThanFunctor<T>>(dev_ctx, x, y, axis, out);
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}
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template <typename T, typename Context>
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void GreaterEqualRawKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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int axis,
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DenseTensor* out) {
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CompareRawKernelImpl<T,
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Context,
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funcs::GreaterEqualFunctor<T>,
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funcs::LessEqualFunctor<T>>(dev_ctx, x, y, axis, out);
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}
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template <typename T, typename Context>
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void EqualRawKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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int axis,
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DenseTensor* out) {
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CompareRawKernelImpl<T,
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Context,
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funcs::EqualFunctor<T>,
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funcs::EqualFunctor<T>>(dev_ctx, x, y, axis, out);
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}
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template <typename T, typename Context>
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void NotEqualRawKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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int axis,
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DenseTensor* out) {
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CompareRawKernelImpl<T,
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Context,
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funcs::NotEqualFunctor<T>,
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funcs::NotEqualFunctor<T>>(dev_ctx, x, y, axis, out);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(less_than_raw,
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CPU,
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ALL_LAYOUT,
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phi::LessThanRawKernel,
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bool,
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uint8_t,
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int8_t,
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int16_t,
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int,
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int64_t,
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phi::complex64,
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phi::complex128,
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float,
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double,
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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_COMPLEX_COMPARE_RAW_KERNEL(name, func) \
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PD_REGISTER_KERNEL(name##_raw, \
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CPU, \
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ALL_LAYOUT, \
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phi::func##RawKernel, \
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bool, \
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uint8_t, \
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int8_t, \
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int16_t, \
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int, \
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int64_t, \
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phi::complex64, \
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phi::complex128, \
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float, \
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double, \
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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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PD_REGISTER_COMPLEX_COMPARE_RAW_KERNEL(less_equal, LessEqual)
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PD_REGISTER_COMPLEX_COMPARE_RAW_KERNEL(greater_than, GreaterThan)
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PD_REGISTER_COMPLEX_COMPARE_RAW_KERNEL(greater_equal, GreaterEqual)
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PD_REGISTER_COMPLEX_COMPARE_RAW_KERNEL(equal, Equal)
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PD_REGISTER_COMPLEX_COMPARE_RAW_KERNEL(not_equal, NotEqual)
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