chore: import upstream snapshot with attribution
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// Copyright (c) 2025 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 <ATen/cuda/EmptyTensor.h>
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#include "paddle/phi/api/include/api.h"
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#include "paddle/phi/common/place.h"
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namespace at::detail {
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at::Tensor empty_cuda(IntArrayRef size,
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ScalarType dtype,
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std::optional<Device> device_opt,
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std::optional<c10::MemoryFormat> memory_format_opt) {
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PD_CHECK(!(memory_format_opt.has_value() &&
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memory_format_opt.value() != c10::MemoryFormat::Contiguous),
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"`MemoryFormat` other than Contiguous is not supported now.");
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return paddle::experimental::empty(
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size._PD_ToPaddleIntArray(),
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compat::_PD_AtenScalarTypeToPhiDataType(dtype),
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device_opt && device_opt->has_index() ? phi::GPUPlace(device_opt->index())
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: paddle::DefaultGPUPlace());
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}
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at::Tensor empty_cuda(IntArrayRef size, const TensorOptions &options) {
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auto place = options.has_device() && options.device().has_index()
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? phi::GPUPlace(options.device().index())
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: paddle::DefaultGPUPlace();
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return paddle::experimental::empty(
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size._PD_ToPaddleIntArray(),
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compat::_PD_AtenScalarTypeToPhiDataType(options.dtype_opt().value()),
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place);
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}
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} // namespace at::detail
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