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 "paddle/phi/kernels/gpu/ap_facade_kernel.h"
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#include "paddle/common/enforce.h"
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#include "paddle/phi/backends/gpu/gpu_context.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 Context>
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void ApFacadeKernel(const Context& dev_ctx,
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const optional<std::vector<const DenseTensor*>>& xs,
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int64_t num_outputs,
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const std::string& custom_op_name,
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const std::string& infer_meta_func_name,
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const std::string& infer_symbolic_func_name,
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const std::string& serialized_attributes,
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std::vector<DenseTensor*> outs) {
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PADDLE_THROW(
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common::errors::Unimplemented("ap_facade has no kernel registered."));
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}
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} // namespace phi
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PD_REGISTER_KERNEL(ap_facade,
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GPU,
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ALL_LAYOUT,
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phi::ApFacadeKernel,
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float,
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double,
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int,
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phi::bfloat16,
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phi::float16,
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int64_t,
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phi::complex64,
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phi::complex128) {}
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