wehub-resource-sync
316 lines
12 KiB
C++
316 lines
12 KiB
C++
// Copyright (c) 2024 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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#pragma once
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#include <fstream>
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#include <string>
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#include <vector>
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#include "paddle/phi/core/extended_tensor.h"
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#include "paddle/phi/core/framework/convert_utils.h"
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#include "paddle/phi/core/framework/data_type_transform.h"
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#include "paddle/phi/core/framework/dense_tensor_serialize.h"
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#include "paddle/phi/core/framework/var_type_helper.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/platform/device_context.h"
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#include "paddle/phi/core/raw_tensor.h"
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#include "paddle/phi/core/tensor_utils.h"
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#include "paddle/phi/core/vocab/string_array.h"
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namespace phi {
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template <typename T, typename Context>
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void LoadParamsFromBuffer(const Context& dev_ctx,
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const Place& place,
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std::istream* buffer,
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bool load_as_fp16,
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const std::vector<DenseTensor*>& out) {
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auto out_vars = out;
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for (size_t i = 0; i < out_vars.size(); i++) {
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PADDLE_ENFORCE_NOT_NULL(
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out_vars[i],
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common::errors::InvalidArgument(
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"The variable index %d to be loaded cannot be found.", i));
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// Error checking
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PADDLE_ENFORCE_EQ(
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static_cast<bool>(*buffer),
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true,
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common::errors::Unavailable(
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"An error occurred while loading model parameters. "
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"Please check whether the model file is complete or damaged."));
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dev_ctx.template Alloc<T>(out_vars[i]);
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DenseTensor* tensor = out_vars[i];
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// Get data from fin to tensor
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DeserializeFromStream(*buffer, tensor, dev_ctx);
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auto in_dtype = tensor->dtype();
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auto out_dtype = load_as_fp16 ? DataType::FLOAT16 : in_dtype;
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if (in_dtype != out_dtype) {
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// convert to float16 tensor
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auto in_kernel_type = KernelKey(place, DataLayout::ALL_LAYOUT, in_dtype);
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auto out_kernel_type =
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KernelKey(place, DataLayout::ALL_LAYOUT, out_dtype);
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DenseTensor fp16_tensor;
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// copy LoD info to the new tensor
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fp16_tensor.set_lod(tensor->lod());
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TransDataType(in_kernel_type, out_kernel_type, *tensor, &fp16_tensor);
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// reset output tensor
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tensor->set_lod(fp16_tensor.lod());
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tensor->ShareDataWith(fp16_tensor);
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}
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}
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buffer->peek();
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PADDLE_ENFORCE_EQ(buffer->eof(),
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true,
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common::errors::Unavailable(
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"Not allowed to load partial data via "
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"load_combine_op, please use load_op instead."));
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}
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template <typename T, typename Context>
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void LoadParamsFromBuffer(const Context& dev_ctx,
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const Place& place,
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std::istream* buffer,
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bool load_as_fp16,
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const std::vector<Vocab*>& out) {
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auto out_vars = out;
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for (size_t i = 0; i < out_vars.size(); i++) {
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PADDLE_ENFORCE_NOT_NULL(
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out_vars[i],
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common::errors::InvalidArgument(
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"The variable index %d to be loaded cannot be found.", i));
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// Error checking
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PADDLE_ENFORCE_EQ(
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static_cast<bool>(*buffer),
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true,
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common::errors::Unavailable(
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"An error occurred while loading model parameters. "
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"Please check whether the model file is complete or damaged."));
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auto* tensor = out_vars[i];
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tensor->clear();
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std::unordered_map<std::string, std::int32_t> data;
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StringMapFromStream(*buffer, &data);
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for (auto it = data.begin(); it != data.end(); ++it) {
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std::string tmp;
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NFD(it->first, &tmp);
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if (tmp.empty()) {
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// VLOG(0) << "The string " << it->first
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// << " was converted to unicode unsuccessfully! "
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// << "Then dropped to load it.";
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continue;
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}
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std::wstring token;
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bool status = ConvertStrToWstr(tmp, &token);
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if (!status) continue;
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tensor->emplace(token, it->second);
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}
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}
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buffer->peek();
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PADDLE_ENFORCE_EQ(buffer->eof(),
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true,
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common::errors::Unavailable(
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"Not allowed to load partial data via "
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"load_combine_op, please use load_op instead."));
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}
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template <typename T, typename Context>
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void LoadParamsFromBuffer(const Context& dev_ctx,
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const Place& place,
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std::istream* buffer,
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bool load_as_fp16,
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const std::vector<ExtendedTensor*>& out) {
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auto out_vars = out;
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for (size_t i = 0; i < out_vars.size(); i++) {
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PADDLE_ENFORCE_NOT_NULL(
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out_vars[i],
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common::errors::InvalidArgument(
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"The variable index %d to be loaded cannot be found.", i));
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// Error checking
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PADDLE_ENFORCE_EQ(
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static_cast<bool>(*buffer),
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true,
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common::errors::Unavailable(
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"An error occurred while loading model parameters. "
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"Please check whether the model file is complete or damaged."));
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auto* raw_tensor = static_cast<RawTensor*>(out_vars[i]);
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if (raw_tensor->IsType<Vocab>()) {
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auto* tensor = raw_tensor->GetMutable<Vocab>();
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tensor->clear();
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std::unordered_map<std::string, std::int32_t> data;
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StringMapFromStream(*buffer, &data);
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for (auto it = data.begin(); it != data.end(); ++it) {
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std::string tmp;
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NFD(it->first, &tmp);
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if (tmp.empty()) {
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// VLOG(0) << "The string " << it->first
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// << " was converted to unicode unsuccessfully! "
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// << "Then dropped to load it.";
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continue;
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}
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std::wstring token;
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bool status = ConvertStrToWstr(tmp, &token);
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if (!status) continue;
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tensor->emplace(token, it->second);
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}
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} else {
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auto* tensor = raw_tensor->GetMutable<DenseTensor>();
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// Get data from fin to tensor
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DeserializeFromStream(*buffer, tensor, dev_ctx);
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auto in_dtype = tensor->dtype();
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auto out_dtype = load_as_fp16 ? DataType::FLOAT16 : in_dtype;
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if (in_dtype != out_dtype) {
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// convert to float16 tensor
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auto in_kernel_type =
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KernelKey(place, DataLayout::ALL_LAYOUT, in_dtype);
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auto out_kernel_type =
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KernelKey(place, DataLayout::ALL_LAYOUT, out_dtype);
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DenseTensor fp16_tensor;
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// copy LoD info to the new tensor
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fp16_tensor.set_lod(tensor->lod());
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TransDataType(in_kernel_type, out_kernel_type, *tensor, &fp16_tensor);
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// reset output tensor
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// raw_tensor->Clear();
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tensor = raw_tensor->GetMutable<DenseTensor>();
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tensor->set_lod(fp16_tensor.lod());
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tensor->ShareDataWith(fp16_tensor);
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}
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}
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}
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buffer->peek();
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PADDLE_ENFORCE_EQ(buffer->eof(),
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true,
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common::errors::Unavailable(
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"Not allowed to load partial data via "
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"load_combine_op, please use load_op instead."));
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}
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template <typename T, typename Context>
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void LoadCombineKernel(const Context& dev_ctx,
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const std::string& file_path,
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bool load_as_fp16,
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bool model_from_memory,
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std::vector<DenseTensor*> out) {
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auto place = dev_ctx.GetPlace();
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auto filename = file_path;
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auto out_var_names = out;
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if (!model_from_memory) {
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std::ifstream fin(filename, std::ios::binary);
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PADDLE_ENFORCE_EQ(
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static_cast<bool>(fin),
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true,
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common::errors::Unavailable(
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"LoadCombine operator fails to open file %s, please check "
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"whether the model file is complete or damaged.",
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filename));
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LoadParamsFromBuffer<T, Context>(dev_ctx, place, &fin, load_as_fp16, out);
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} else {
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PADDLE_ENFORCE_NE(
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filename.empty(),
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true,
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common::errors::Unavailable(
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"LoadCombine operator fails to open file %s, please check "
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"whether the model file is complete or damaged.",
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filename));
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std::stringstream fin(filename, std::ios::in | std::ios::binary);
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LoadParamsFromBuffer<T, Context>(dev_ctx, place, &fin, load_as_fp16, out);
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}
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}
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template <typename T, typename Context>
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void LoadCombineVocabKernel(const Context& dev_ctx,
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const std::string& file_path,
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bool load_as_fp16,
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bool model_from_memory,
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std::vector<Vocab*> out) {
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auto place = dev_ctx.GetPlace();
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auto filename = file_path;
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auto out_var_names = out;
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PADDLE_ENFORCE_GT(out_var_names.size(),
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0UL,
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common::errors::InvalidArgument(
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"The number of variables to be loaded is %d, expect "
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"it to be greater than 0.",
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out_var_names.size()));
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if (!model_from_memory) {
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std::ifstream fin(filename, std::ios::binary);
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PADDLE_ENFORCE_EQ(
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static_cast<bool>(fin),
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true,
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common::errors::Unavailable(
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"LoadCombine operator fails to open file %s, please check "
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"whether the model file is complete or damaged.",
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filename));
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LoadParamsFromBuffer<T, Context>(dev_ctx, place, &fin, load_as_fp16, out);
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} else {
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PADDLE_ENFORCE_NE(
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filename.empty(),
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true,
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common::errors::Unavailable(
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"LoadCombine operator fails to open file %s, please check "
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"whether the model file is complete or damaged.",
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filename));
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std::stringstream fin(filename, std::ios::in | std::ios::binary);
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LoadParamsFromBuffer<T, Context>(dev_ctx, place, &fin, load_as_fp16, out);
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}
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}
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template <typename T, typename Context>
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void LoadCombineExtendedKernel(const Context& dev_ctx,
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const std::string& file_path,
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bool load_as_fp16,
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bool model_from_memory,
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std::vector<ExtendedTensor*> out) {
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auto place = dev_ctx.GetPlace();
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auto filename = file_path;
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auto out_var_names = out;
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PADDLE_ENFORCE_GT(out_var_names.size(),
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0UL,
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common::errors::InvalidArgument(
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"The number of variables to be loaded is %d, expect "
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"it to be greater than 0.",
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out_var_names.size()));
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if (!model_from_memory) {
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std::ifstream fin(filename, std::ios::binary);
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PADDLE_ENFORCE_EQ(
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static_cast<bool>(fin),
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true,
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common::errors::Unavailable(
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"LoadCombine operator fails to open file %s, please check "
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"whether the model file is complete or damaged.",
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filename));
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LoadParamsFromBuffer<T, Context>(dev_ctx, place, &fin, load_as_fp16, out);
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} else {
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PADDLE_ENFORCE_NE(
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filename.empty(),
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true,
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common::errors::Unavailable(
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"LoadCombine operator fails to open file %s, please check "
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"whether the model file is complete or damaged.",
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filename));
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std::stringstream fin(filename, std::ios::in | std::ios::binary);
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LoadParamsFromBuffer<T, Context>(dev_ctx, place, &fin, load_as_fp16, out);
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}
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}
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} // namespace phi
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