chore: import upstream snapshot with attribution
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// Copyright (c) 2021 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/cast_kernel.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/visit_type.h"
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#include "paddle/phi/kernels/cpu/cast_impl.h"
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namespace phi {
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template <typename T, typename Context>
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void CastKernel(const Context& dev_ctx,
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const DenseTensor& x,
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DataType out_dtype,
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DenseTensor* out) {
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if (x.dtype() == out_dtype) {
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if (x.dims() == make_ddim({-1})) {
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*out = x;
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return;
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}
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if (!out->IsSharedWith(x)) {
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Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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}
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return;
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}
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if (out->IsSharedWith(x)) {
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PD_VISIT_ALL_CPU_TYPES(out_dtype, "CastInplaceKernelImpl", ([&] {
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CastInplaceKernelImpl<T, data_t>(
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dev_ctx, x, out_dtype, out);
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}));
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} else {
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PD_VISIT_ALL_CPU_TYPES(out_dtype, "CastKernelImpl", ([&] {
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CastKernelImpl<T, data_t>(
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dev_ctx, x, out_dtype, out);
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}));
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}
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}
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#ifdef _WIN32
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INSTANTIATE_CAST_KERNEL(float, CPUContext)
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INSTANTIATE_CAST_KERNEL(double, CPUContext)
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INSTANTIATE_CAST_KERNEL(int, CPUContext)
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INSTANTIATE_CAST_KERNEL(int64_t, CPUContext)
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INSTANTIATE_CAST_KERNEL(uint8_t, CPUContext)
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INSTANTIATE_CAST_KERNEL(uint16_t, CPUContext)
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INSTANTIATE_CAST_KERNEL(uint32_t, CPUContext)
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INSTANTIATE_CAST_KERNEL(uint64_t, CPUContext)
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INSTANTIATE_CAST_KERNEL(bool, CPUContext)
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INSTANTIATE_CAST_KERNEL(int16_t, CPUContext)
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INSTANTIATE_CAST_KERNEL(float16, CPUContext)
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INSTANTIATE_CAST_KERNEL(bfloat16, CPUContext)
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#endif
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} // namespace phi
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PD_REGISTER_KERNEL(cast,
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CPU,
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ALL_LAYOUT,
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phi::CastKernel,
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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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int16_t,
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bool,
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int8_t,
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uint8_t,
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uint16_t,
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uint32_t,
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uint64_t,
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phi::float8_e4m3fn,
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phi::float8_e5m2,
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phi::float16,
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phi::bfloat16,
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phi::complex64,
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phi::complex128) {
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kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED);
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}
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