// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #pragma once #include #include #include #include #include #include "paddle/phi/core/framework/dense_tensor_serialize.h" #include "paddle/phi/core/framework/var_type_helper.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/tensor_utils.h" #include "paddle/phi/kernels/cast_kernel.h" namespace phi { template void SaveKernel(const Context& dev_ctx, const DenseTensor& x, const std::string& file_path, bool overwrite, bool save_as_fp16) { PADDLE_ENFORCE_EQ( FileExists(file_path) && !overwrite, false, common::errors::PreconditionNotMet( "%s exists!, cannot save to it when overwrite is set to false.", file_path)); MkDirRecursively(DirName(file_path).c_str()); // FIXME(yuyang18): We save variable to local file now, but we should change // it to save an output stream. std::ofstream fout(file_path, std::ios::binary); PADDLE_ENFORCE_EQ(static_cast(fout), true, common::errors::Unavailable( "Cannot open %s to save variables.", file_path)); auto in_dtype = x.dtype(); auto out_dtype = save_as_fp16 ? DataType::FLOAT16 : in_dtype; if (in_dtype != out_dtype) { auto out = Cast(dev_ctx, x, out_dtype); SerializeToStream(fout, out, dev_ctx); } else { SerializeToStream(fout, x, dev_ctx); } fout.close(); } } // namespace phi