1/**
2 * Copyright (c) Glow Contributors. See CONTRIBUTORS file.
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17#include "glow/Importer/ONNXIFIModelLoader.h"
18#include "glow/Importer/Caffe2ModelLoader.h"
19
20#include "caffe2/proto/caffe2.pb.h"
21#include "onnx/onnx_pb.h"
22
23namespace glow {
24
25Expected<std::unique_ptr<ONNXIFIModelLoader>> ONNXIFIModelLoader::parse(
26 const void *model, uint32_t modelSize, uint32_t weightsCount,
27 const onnxTensorDescriptorV1 *weightDescriptors, Module &mod,
28 llvm::StringRef netName, CompilationContext &cctx,
29 std::map<std::string, Type> *staticPlaceholderTypes,
30 bool loadInputsAsPlaceholdersForOnnx, bool use_onnx,
31 bool constFoldInLoader) {
32
33 std::unique_ptr<ONNXIFIModelLoader> loader(new ONNXIFIModelLoader());
34 Error loaderConstructionErr = Error::empty();
35
36 if (use_onnx) {
37 // If we're loading an ONNX model then we will always be replacing dummy
38 // TQPs if they're found.
39 cctx.precisionConfig.replaceDummyTQPs = true;
40 std::unique_ptr<ONNXModelLoader> onnxLoader(new ONNXModelLoader(
41 model, modelSize, weightsCount, weightDescriptors, mod, netName,
42 cctx.prepartitionedConfig, loadInputsAsPlaceholdersForOnnx,
43 &loaderConstructionErr, constFoldInLoader,
44 &cctx.backendOpts.backendSpecificNodeInfo, staticPlaceholderTypes,
45 cctx.precisionConfig.replaceDummyTQPs,
46 cctx.precisionConfig.clipQuantRangeToFP16));
47 if (loaderConstructionErr) {
48 return std::move(loaderConstructionErr);
49 }
50 // Keep hold of the context
51 loader->core_ = std::move(onnxLoader);
52 } else {
53 // Use Caffe2 Model loader
54 std::unique_ptr<Caffe2ModelLoader> c2Loader(new Caffe2ModelLoader(
55 model, modelSize, weightsCount, weightDescriptors, mod, netName,
56 cctx.prepartitionedConfig, &loaderConstructionErr, constFoldInLoader,
57 cctx.precisionConfig.originNameToTQPMap,
58 cctx.precisionConfig.loadUniquedDummyQParams,
59 cctx.precisionConfig.zeroScaleFP16Clip,
60 cctx.precisionConfig.clipQuantRangeToFP16));
61 if (loaderConstructionErr) {
62 return std::move(loaderConstructionErr);
63 }
64 // Keep hold of the context
65 loader->core_ = std::move(c2Loader);
66 }
67
68 return Expected<std::unique_ptr<ONNXIFIModelLoader>>(std::move(loader));
69}
70} // namespace glow
71