Bug Summary

File:.cache/bazel/_bazel_alan/39be661231df2a680c9b74265384c13c/execroot/org_tensorflow/tensorflow/lite/toco/python/toco_python_api.cc
Warning:line 276, column 17
PyObject ownership leak with reference count of 1

Annotated Source Code

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clang -cc1 -cc1 -triple x86_64-unknown-linux-gnu -analyze -disable-free -disable-llvm-verifier -discard-value-names -main-file-name toco_python_api.cc -analyzer-store=region -analyzer-opt-analyze-nested-blocks -analyzer-checker=core -analyzer-checker=apiModeling -analyzer-checker=unix -analyzer-checker=deadcode -analyzer-checker=cplusplus -analyzer-checker=security.insecureAPI.UncheckedReturn -analyzer-checker=security.insecureAPI.getpw -analyzer-checker=security.insecureAPI.gets -analyzer-checker=security.insecureAPI.mktemp -analyzer-checker=security.insecureAPI.mkstemp -analyzer-checker=security.insecureAPI.vfork -analyzer-checker=nullability.NullPassedToNonnull -analyzer-checker=nullability.NullReturnedFromNonnull -analyzer-output plist -w -analyzer-output=html -analyzer-checker=python -analyzer-disable-checker=deadcode -analyzer-config prune-paths=true,suppress-c++-stdlib=true,suppress-null-return-paths=false,crosscheck-with-z3=true,model-path=/opt/pyrefcon/lib/pyrefcon/models/models -analyzer-config experimental-enable-naive-ctu-analysis=true,ctu-dir=/tmp/pyrefcon/tensorflow/csa-scan,ctu-index-name=/tmp/pyrefcon/tensorflow/csa-scan/externalDefMap.txt,ctu-invocation-list=/tmp/pyrefcon/tensorflow/csa-scan/invocations.yaml,display-ctu-progress=false -setup-static-analyzer -analyzer-config-compatibility-mode=true -mrelocation-model pic -pic-level 2 -fhalf-no-semantic-interposition -mframe-pointer=all -fmath-errno -fno-rounding-math -mconstructor-aliases -munwind-tables -target-cpu x86-64 -tune-cpu generic -debugger-tuning=gdb -ffunction-sections -fdata-sections -fcoverage-compilation-dir=/home/pyrefcon/.cache/bazel/_bazel_alan/39be661231df2a680c9b74265384c13c/execroot/org_tensorflow -resource-dir /opt/pyrefcon/lib/clang/13.0.0 -iquote . -iquote bazel-out/k8-opt/bin -iquote external/com_google_protobuf -iquote bazel-out/k8-opt/bin/external/com_google_protobuf -iquote external/local_config_python -iquote bazel-out/k8-opt/bin/external/local_config_python -iquote external/com_google_absl -iquote bazel-out/k8-opt/bin/external/com_google_absl -iquote external/nsync -iquote bazel-out/k8-opt/bin/external/nsync -iquote external/eigen_archive -iquote bazel-out/k8-opt/bin/external/eigen_archive -iquote external/gif -iquote bazel-out/k8-opt/bin/external/gif -iquote external/libjpeg_turbo -iquote bazel-out/k8-opt/bin/external/libjpeg_turbo -iquote external/com_googlesource_code_re2 -iquote bazel-out/k8-opt/bin/external/com_googlesource_code_re2 -iquote external/farmhash_archive -iquote bazel-out/k8-opt/bin/external/farmhash_archive -iquote external/fft2d -iquote bazel-out/k8-opt/bin/external/fft2d -iquote external/highwayhash -iquote bazel-out/k8-opt/bin/external/highwayhash -iquote external/zlib -iquote bazel-out/k8-opt/bin/external/zlib -iquote external/double_conversion -iquote 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bazel-out/k8-opt/bin/external/boringssl/src/include -isystem external/jsoncpp_git/include -isystem bazel-out/k8-opt/bin/external/jsoncpp_git/include -isystem tensorflow/lite/schema -isystem bazel-out/k8-opt/bin/tensorflow/lite/schema -isystem external/local_config_cuda/cuda -isystem bazel-out/k8-opt/bin/external/local_config_cuda/cuda -isystem external/local_config_cuda/cuda/cuda/include -isystem bazel-out/k8-opt/bin/external/local_config_cuda/cuda/cuda/include -isystem external/local_config_rocm/rocm -isystem bazel-out/k8-opt/bin/external/local_config_rocm/rocm -isystem external/local_config_rocm/rocm/rocm/include -isystem bazel-out/k8-opt/bin/external/local_config_rocm/rocm/rocm/include -isystem external/local_config_rocm/rocm/rocm/include/rocrand -isystem bazel-out/k8-opt/bin/external/local_config_rocm/rocm/rocm/include/rocrand -isystem external/local_config_rocm/rocm/rocm/include/roctracer -isystem bazel-out/k8-opt/bin/external/local_config_rocm/rocm/rocm/include/roctracer -isystem tensorflow/compiler/mlir/tensorflow/include -isystem bazel-out/k8-opt/bin/tensorflow/compiler/mlir/tensorflow/include -isystem tensorflow/compiler/mlir/hlo/include -isystem bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/include -isystem tensorflow/compiler/mlir/xla/include -isystem bazel-out/k8-opt/bin/tensorflow/compiler/mlir/xla/include -isystem external/mkl_dnn_v1/include -isystem bazel-out/k8-opt/bin/external/mkl_dnn_v1/include -isystem external/mkl_dnn_v1/src -isystem bazel-out/k8-opt/bin/external/mkl_dnn_v1/src -isystem external/mkl_dnn_v1/src/common -isystem bazel-out/k8-opt/bin/external/mkl_dnn_v1/src/common -isystem external/mkl_dnn_v1/src/common/ittnotify -isystem bazel-out/k8-opt/bin/external/mkl_dnn_v1/src/common/ittnotify -isystem external/mkl_dnn_v1/src/cpu -isystem bazel-out/k8-opt/bin/external/mkl_dnn_v1/src/cpu -isystem external/mkl_dnn_v1/src/cpu/gemm -isystem bazel-out/k8-opt/bin/external/mkl_dnn_v1/src/cpu/gemm -isystem external/mkl_dnn_v1/src/cpu/x64/xbyak 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external/llvm-project/mlir/lib/Conversion/TosaToStandard -isystem bazel-out/k8-opt/bin/external/llvm-project/mlir/lib/Conversion/TosaToStandard -isystem external/com_github_grpc_grpc/include -isystem bazel-out/k8-opt/bin/external/com_github_grpc_grpc/include -isystem external/com_github_grpc_grpc/src/core/ext/upb-generated -isystem bazel-out/k8-opt/bin/external/com_github_grpc_grpc/src/core/ext/upb-generated -isystem external/com_github_grpc_grpc/third_party/address_sorting/include -isystem bazel-out/k8-opt/bin/external/com_github_grpc_grpc/third_party/address_sorting/include -isystem external/png -isystem bazel-out/k8-opt/bin/external/png -isystem external/icu/icu4c/source/common -isystem bazel-out/k8-opt/bin/external/icu/icu4c/source/common -isystem external/llvm-project/llvm/lib/Target/X86 -isystem bazel-out/k8-opt/bin/external/llvm-project/llvm/lib/Target/X86 -U _FORTIFY_SOURCE -D _FORTIFY_SOURCE=1 -D NDEBUG -D SQLITE_OMIT_DEPRECATED -D EIGEN_ALTIVEC_USE_CUSTOM_PACK=0 -D GRPC_ARES=0 -D TENSORFLOW_USE_CUSTOM_CONTRACTION_KERNEL -D TENSORFLOW_USE_MKLDNN_CONTRACTION_KERNEL -D CURL_STATICLIB -D HAVE_SYS_UIO_H -D TF_USE_SNAPPY -D EIGEN_MPL2_ONLY -D EIGEN_MAX_ALIGN_BYTES=64 -D LLVM_ON_UNIX=1 -D HAVE_BACKTRACE=1 -D BACKTRACE_HEADER=<execinfo.h> -D LTDL_SHLIB_EXT=".so" -D LLVM_PLUGIN_EXT=".so" -D LLVM_ENABLE_THREADS=1 -D HAVE_SYSEXITS_H=1 -D HAVE_UNISTD_H=1 -D HAVE_STRERROR_R=1 -D HAVE_LIBPTHREAD=1 -D HAVE_PTHREAD_GETNAME_NP=1 -D HAVE_PTHREAD_SETNAME_NP=1 -D HAVE_PTHREAD_GETSPECIFIC=1 -D HAVE_REGISTER_FRAME=1 -D HAVE_DEREGISTER_FRAME=1 -D _GNU_SOURCE -D HAVE_LINK_H=1 -D HAVE_LSEEK64=1 -D HAVE_MALLINFO=1 -D HAVE_POSIX_FALLOCATE=1 -D HAVE_SBRK=1 -D HAVE_STRUCT_STAT_ST_MTIM_TV_NSEC=1 -D LLVM_NATIVE_ARCH="X86" -D LLVM_NATIVE_ASMPARSER=LLVMInitializeX86AsmParser -D LLVM_NATIVE_ASMPRINTER=LLVMInitializeX86AsmPrinter -D LLVM_NATIVE_DISASSEMBLER=LLVMInitializeX86Disassembler -D LLVM_NATIVE_TARGET=LLVMInitializeX86Target -D LLVM_NATIVE_TARGETINFO=LLVMInitializeX86TargetInfo -D LLVM_NATIVE_TARGETMC=LLVMInitializeX86TargetMC -D LLVM_NATIVE_TARGETMCA=LLVMInitializeX86TargetMCA -D LLVM_HOST_TRIPLE="x86_64-unknown-linux-gnu" -D LLVM_DEFAULT_TARGET_TRIPLE="x86_64-unknown-linux-gnu" -D __STDC_LIMIT_MACROS -D __STDC_CONSTANT_MACROS -D __STDC_FORMAT_MACROS -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/BuiltinAttributesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/BuiltinDialectIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/BuiltinLocationAttributesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/BuiltinOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/BuiltinTypeInterfacesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/BuiltinTypesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/CallOpInterfacesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/CastOpInterfacesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/InferTypeOpInterfaceIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/OpAsmInterfaceIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/RegionKindInterfaceIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/SideEffectInterfacesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/SubElementInterfacesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/SymbolInterfacesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/TensorEncodingIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/ControlFlowInterfacesIncGen -I bazel-out/k8-opt/bin/external/flatbuffers/_virtual_includes/runtime_cc -I bazel-out/k8-opt/bin/external/flatbuffers/_virtual_includes/flatbuffers -I bazel-out/k8-opt/bin/external/flatbuffers/src/_virtual_includes/flatbuffers -I bazel-out/k8-opt/bin/external/cpuinfo/_virtual_includes/cpuinfo -I bazel-out/k8-opt/bin/external/clog/_virtual_includes/clog -I bazel-out/k8-opt/bin/external/local_config_cuda/cuda/_virtual_includes/cuda_headers_virtual -I bazel-out/k8-opt/bin/external/local_config_tensorrt/_virtual_includes/tensorrt_headers -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/StandardOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/VectorInterfacesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/QuantOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/QuantPassIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/AffineMemoryOpInterfacesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/AffineOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/LoopLikeInterfaceIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/CopyOpInterfaceIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/MemRefBaseIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/MemRefOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/TensorOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/ViewLikeInterfaceIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/LinalgInterfacesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/LinalgStructuredOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/LinalgOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/MathBaseIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/MathOpsIncGen -I 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bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/ComplexOpsIncGen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/canonicalize_inc_gen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/chlo_ops_inc_gen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/hlo_ops_base_inc_gen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/hlo_ops_inc_gen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/hlo_ops_pattern_gen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/MLIRShapeCanonicalizationIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/ShapeOpsIncGen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/lhlo_ops_inc_gen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/lhlo_ops_structs_inc_gen -I 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bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/DLTIBaseIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/GPUBaseIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/GPUOpsIncGen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/legalize_to_standard_inc_gen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/LinalgPassIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/VectorOpsIncGen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/lower_complex_inc_gen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/disc_ral_ops_inc_gen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/AMXIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/AffinePassIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/ArmNeonIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/ArmSVEIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/AsyncOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/AsyncPassIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/OpenACCOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/GPUPassIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/ParallelLoopMapperAttrGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/LLVMConversionIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/LLVMPassIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/OpenMPOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/llvm/_virtual_includes/InstCombineTableGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/NVVMConversionIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/NVVMOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/X86VectorIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/GPUToNVVMGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/GPUToROCDLTGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/ROCDLOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/SPIRVAttrUtilsGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/SPIRVAvailabilityIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/SPIRVCanonicalizationIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/SPIRVOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/SPIRVSerializationGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/ShapeToStandardGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/TosaDialectIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/TosaInterfacesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/TosaPassIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/EmitCAttributesIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/EmitCOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/MemRefPassIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/SPIRVPassIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/SparseTensorAttrDefsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/SparseTensorOpsIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/SparseTensorPassIncGen -I bazel-out/k8-opt/bin/external/llvm-project/mlir/_virtual_includes/TensorPassIncGen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/lhlo_gpu_ops_enums_inc_gen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/lhlo_gpu_ops_inc_gen -I bazel-out/k8-opt/bin/tensorflow/compiler/mlir/hlo/_virtual_includes/lhlo_gpu_ops_structs_inc_gen -I bazel-out/k8-opt/bin/external/llvm-project/llvm/_virtual_includes/X86CodeGen -I bazel-out/k8-opt/bin/external/llvm-project/llvm/_virtual_includes/X86CommonTableGen -I bazel-out/k8-opt/bin/external/llvm-project/llvm/_virtual_includes/X86Info -I bazel-out/k8-opt/bin/external/llvm-project/llvm/_virtual_includes/X86UtilsAndDesc -D AUTOLOAD_DYNAMIC_KERNELS -D __DATE__="redacted" -D __TIMESTAMP__="redacted" -D __TIME__="redacted" -internal-isystem /usr/lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10 -internal-isystem /usr/lib/gcc/x86_64-linux-gnu/10/../../../../include/x86_64-linux-gnu/c++/10 -internal-isystem /usr/lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/backward -internal-isystem /opt/pyrefcon/lib/clang/13.0.0/include -internal-isystem /usr/local/include -internal-isystem /usr/lib/gcc/x86_64-linux-gnu/10/../../../../x86_64-linux-gnu/include -internal-externc-isystem /usr/include/x86_64-linux-gnu -internal-externc-isystem /include -internal-externc-isystem /usr/include -O2 -Wall -Wunused-but-set-parameter -Wno-free-nonheap-object -Wno-builtin-macro-redefined -w -std=c++14 -fdeprecated-macro -fdebug-compilation-dir=/home/pyrefcon/.cache/bazel/_bazel_alan/39be661231df2a680c9b74265384c13c/execroot/org_tensorflow -ferror-limit 19 -stack-protector 1 -fgnuc-version=4.2.1 -fcxx-exceptions -fexceptions -vectorize-loops -vectorize-slp -faddrsig -D__GCC_HAVE_DWARF2_CFI_ASM=1 -o /tmp/pyrefcon/tensorflow/csa-scan/reports -x c++ tensorflow/lite/toco/python/toco_python_api.cc

tensorflow/lite/toco/python/toco_python_api.cc

→
1/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
2
3Licensed under the Apache License, Version 2.0 (the "License");
4you may not use this file except in compliance with the License.
5You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9Unless required by applicable law or agreed to in writing, software
10distributed under the License is distributed on an "AS IS" BASIS,
11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12See the License for the specific language governing permissions and
13limitations under the License.
14==============================================================================*/
15#include "tensorflow/lite/toco/python/toco_python_api.h"
16
17#include <fstream>
18#include <map>
19#include <string>
20#include <vector>
21
22#include "google/protobuf/text_format.h"
23#include "tensorflow/c/kernels.h"
24#include "tensorflow/compiler/mlir/lite/metrics/error_collector.h"
25#include "tensorflow/compiler/mlir/lite/python/flatbuffer_to_mlir.h"
26#include "tensorflow/compiler/mlir/lite/python/graphdef_to_tfl_flatbuffer.h"
27#include "tensorflow/compiler/mlir/lite/python/jax_to_tfl_flatbuffer.h"
28#include "tensorflow/compiler/mlir/lite/python/saved_model_to_tfl_flatbuffer.h"
29#include "tensorflow/compiler/mlir/lite/quantization/lite/quantize_model.h"
30#include "tensorflow/compiler/mlir/lite/sparsity/sparsify_model.h"
31#include "tensorflow/core/framework/op.h"
32#include "tensorflow/core/framework/op_def.pb.h"
33#include "tensorflow/core/platform/logging.h"
34#include "tensorflow/lite/c/common.h"
35#include "tensorflow/lite/core/api/error_reporter.h"
36#include "tensorflow/lite/python/interpreter_wrapper/python_error_reporter.h"
37#include "tensorflow/lite/python/interpreter_wrapper/python_utils.h"
38#include "tensorflow/lite/schema/schema_generated.h"
39#include "tensorflow/lite/toco/import_tensorflow.h"
40#include "tensorflow/lite/toco/logging/conversion_log_util.h"
41#include "tensorflow/lite/toco/logging/toco_conversion_log.pb.h"
42#include "tensorflow/lite/toco/model_flags.pb.h"
43#include "tensorflow/lite/toco/toco_convert.h"
44#include "tensorflow/lite/toco/toco_flags.pb.h"
45#include "tensorflow/lite/toco/toco_graphviz_dump_options.h"
46#include "tensorflow/lite/toco/toco_port.h"
47#include "tensorflow/lite/toco/toco_tooling.h"
48#include "tensorflow/lite/toco/toco_types.h"
49#include "tensorflow/lite/toco/tooling_util.h"
50#include "tensorflow/lite/toco/types.pb.h"
51
52namespace toco {
53using mlir::lite::StringSet;
54
55void PopulateConversionLogHelper(const toco::ModelFlags& model_flags,
56 toco::TocoFlags* toco_flags,
57 const std::string& input_contents_txt,
58 const std::string& output_file_contents_txt,
59 const std::string& error_message,
60 GraphVizDumpOptions* dump_options) {
61 // Make sure the graphviz file will be dumped under the same folder.
62 dump_options->dump_graphviz = toco_flags->conversion_summary_dir();
63 // Here we construct the `toco::Model` class based on the input graph def,
64 // it will then be used to populate the conversion log.
65 // TODO(haoliang): Don't depend on `toco::Model`.
66 std::unique_ptr<toco::Model> imported_model =
67 toco::Import(*toco_flags, model_flags, input_contents_txt);
68 // Dump pre-conversion toco logs.
69 TocoConversionLog toco_log_before;
70 PopulateConversionLog(*imported_model, &toco_log_before);
71 std::ofstream osstream_before(toco_flags->conversion_summary_dir() +
72 "/toco_log_before.pb");
73 toco_log_before.SerializeToOstream(&osstream_before);
74 osstream_before.close();
75 toco::LogDump(toco::kLogLevelModelChanged, "tf_graph", *imported_model);
76
77 // Populate the post-conversion log, for convenient initiate the
78 // `toco::Model` class from the generated flatbuffer.
79 toco_flags->set_input_format(toco::FileFormat::TFLITE);
80 std::unique_ptr<toco::Model> flatbuffer_model =
81 toco::Import(*toco_flags, model_flags, output_file_contents_txt);
82 // Dump post-conversion toco logs.
83 TocoConversionLog toco_log_after;
84 PopulateConversionLog(*flatbuffer_model, &toco_log_after);
85 // Make sure we sanitize the error message.
86 toco_log_after.set_toco_err_logs(SanitizeErrorMessage(error_message));
87 std::ofstream ostream_after(toco_flags->conversion_summary_dir() +
88 "/toco_log_after.pb");
89 toco_log_after.SerializeToOstream(&ostream_after);
90 ostream_after.close();
91 toco::LogDump(toco::kLogLevelModelChanged, "tflite_graph", *flatbuffer_model);
92}
93
94// NOTE(aselle): We are using raw PyObject's here because we want to make
95// sure we input and output bytes rather than unicode strings for Python3.
96PyObject* TocoConvert(PyObject* model_flags_proto_txt_raw,
97 PyObject* toco_flags_proto_txt_raw,
98 PyObject* input_contents_txt_raw, bool extended_return,
99 PyObject* debug_info_txt_raw,
100 bool enable_mlir_converter) {
101 // Use Python C API to validate and convert arguments. In py3 (bytes),
102 // in py2 (str).
103 auto ConvertArg = [&](PyObject* obj, bool* error) {
104 char* buf;
105 Py_ssize_t len;
106 if (::tflite::python_utils::ConvertFromPyString(obj, &buf, &len) == -1) {
107 *error = true;
108 return std::string();
109 } else {
110 *error = false;
111 return std::string(buf, len);
112 }
113 };
114
115 bool error;
116 std::string model_flags_proto_txt =
117 ConvertArg(model_flags_proto_txt_raw, &error);
118 if (error) {
119 PyErr_SetString(PyExc_ValueError, "Model flags are invalid.");
120 return nullptr;
121 }
122 std::string toco_flags_proto_txt =
123 ConvertArg(toco_flags_proto_txt_raw, &error);
124 if (error) {
125 PyErr_SetString(PyExc_ValueError, "Toco flags are invalid.");
126 return nullptr;
127 }
128
129 // Use TOCO to produce new outputs.
130 toco::ModelFlags model_flags;
131 if (!model_flags.ParseFromString(model_flags_proto_txt)) {
132 PyErr_SetString(PyExc_ValueError,
133 "Failed to convert Model to Python String.");
134 return nullptr;
135 }
136 toco::TocoFlags toco_flags;
137 if (!toco_flags.ParseFromString(toco_flags_proto_txt)) {
138 PyErr_SetString(PyExc_ValueError,
139 "Failed to convert Toco to Python String.");
140 return nullptr;
141 }
142
143 tensorflow::GraphDebugInfo debug_info;
144 if (debug_info_txt_raw && debug_info_txt_raw != Py_None(&_Py_NoneStruct)) {
145 std::string debug_info_txt = ConvertArg(debug_info_txt_raw, &error);
146 if (error) {
147 PyErr_SetString(PyExc_ValueError, "Input DebugInfo is invalid.");
148 return nullptr;
149 }
150 if (!debug_info.ParseFromString(debug_info_txt)) {
151 PyErr_SetString(PyExc_ValueError,
152 "Failed to convert DebugInfo to Python String.");
153 return nullptr;
154 }
155 }
156
157 tensorflow::GraphDef graph_def;
158 std::string input_contents_txt;
159 if (model_flags.saved_model_dir().empty()) {
160 input_contents_txt = ConvertArg(input_contents_txt_raw, &error);
161 if (error) {
162 PyErr_SetString(PyExc_ValueError, "Input GraphDef is invalid.");
163 return nullptr;
164 }
165 if (!model_flags.use_hlo_import() &&
166 !graph_def.ParseFromString(input_contents_txt)) {
167 PyErr_SetString(PyExc_ValueError,
168 "Failed to convert GraphDef to Python String.");
169 return nullptr;
170 }
171 }
172
173 auto& dump_options = *GraphVizDumpOptions::singleton();
174 if (toco_flags.has_dump_graphviz_dir()) {
175 dump_options.dump_graphviz = toco_flags.dump_graphviz_dir();
176 }
177 if (toco_flags.has_dump_graphviz_include_video()) {
178 dump_options.dump_graphviz_video = toco_flags.dump_graphviz_include_video();
179 }
180
181 std::string output_file_contents_txt;
182 tensorflow::Status status;
183 int64_t arithmetic_ops_count;
184
185 // Convert model.
186 if (enable_mlir_converter) {
187 if (model_flags.use_hlo_import() && model_flags.has_saved_model_dir()) {
188 PyErr_SetString(PyExc_ValueError,
189 "Cannot specify both saved_model and hlo import.");
190 return nullptr;
191 }
192
193 if (model_flags.use_hlo_import()) {
194 status = tensorflow::ConvertJaxToTFLiteFlatBuffer(
195 input_contents_txt, model_flags, toco_flags,
196 &output_file_contents_txt);
197 } else if (!model_flags.saved_model_dir().empty()) {
198 status = tensorflow::ConvertSavedModelToTFLiteFlatBuffer(
199 model_flags, toco_flags, &output_file_contents_txt);
200 } else {
201 tensorflow::GraphDef graph_def;
202 if (!graph_def.ParseFromString(input_contents_txt)) {
203 PyErr_SetString(PyExc_ValueError,
204 "Failed to convert GraphDef to Python String.");
205 return nullptr;
206 }
207
208 status = tensorflow::ConvertGraphDefToTFLiteFlatBuffer(
209 model_flags, toco_flags, debug_info, graph_def,
210 &output_file_contents_txt);
211 if (!toco_flags.conversion_summary_dir().empty()) {
212 PopulateConversionLogHelper(
213 model_flags, &toco_flags, input_contents_txt,
214 output_file_contents_txt, status.error_message(), &dump_options);
215 }
216 }
217 } else {
218 status = Convert(input_contents_txt, toco_flags, model_flags,
219 &output_file_contents_txt, &arithmetic_ops_count);
220 }
221
222 if (!status.ok()) {
223 PyErr_SetString(PyExc_Exception, status.error_message().c_str());
224 return nullptr;
225 }
226 if (extended_return && !enable_mlir_converter) {
227 PyObject* dict = PyDict_New();
228 PyDict_SetItemString(
229 dict, "flatbuffer",
230 ::tflite::python_utils::ConvertToPyString(
231 output_file_contents_txt.data(), output_file_contents_txt.size()));
232 PyDict_SetItemString(dict, "arithmetic_ops",
233 PyLong_FromLong(arithmetic_ops_count));
234 return dict;
235 }
236 // Convert arguments back to byte (py3) or str (py2)
237 return ::tflite::python_utils::ConvertToPyString(
238 output_file_contents_txt.data(), output_file_contents_txt.size());
239}
240
241tflite::TensorType FromTocoDataTypeToTflitToTensorType(int inference_type) {
242 switch (inference_type) {
243 case toco::IODataType::QUANTIZED_INT16:
244 return tflite::TensorType_INT16;
245 case toco::IODataType::QUANTIZED_UINT8:
246 return tflite::TensorType_UINT8;
247 case toco::IODataType::UINT8:
248 return tflite::TensorType_UINT8;
249 case toco::IODataType::QUANTIZED_INT8:
250 return tflite::TensorType_INT8;
251 case toco::IODataType::INT8:
252 return tflite::TensorType_INT8;
253 default:
254 return tflite::TensorType_FLOAT32;
255 }
256}
257
258int ToStringSet(PyObject* py_denylist, StringSet* string_set) {
259 using tflite::python_utils::ConvertFromPyString;
260 // Ensure op_denylist is non null
261 if (!py_denylist) {
4
←
Assuming 'py_denylist' is non-null
→
5
←
Taking false branch
→
262 return 0;
263 }
264 if (PyList_Check(py_denylist)((((((PyObject*)(py_denylist))->ob_type))->tp_flags &
((1UL << 25))) != 0)) {
6
←
Assuming the condition is false
→
7
←
Taking false branch
→
265 for (int i = 0; i < PyList_GET_SIZE(py_denylist)((static_cast<void> (0)), (((PyVarObject*)(py_denylist)
)->ob_size)); ++i) {
266 PyObject* value = PyList_GetItem(py_denylist, i);
267 char* str_buf;
268 Py_ssize_t length;
269 if (ConvertFromPyString(value, &str_buf, &length) == -1) {
270 return -1;
271 }
272 string_set->emplace(str_buf, length);
273 }
274 }
275 if (PySet_Check(py_denylist)((((PyObject*)(py_denylist))->ob_type) == &PySet_Type ||
PyType_IsSubtype((((PyObject*)(py_denylist))->ob_type), &
PySet_Type))) {
8
←
Assuming the condition is true
→
276 auto* tmp = PySet_New(py_denylist);
9
←
Calling 'PySet_New'
→
11
←
Returning from 'PySet_New'
→
13
←
PyObject ownership leak with reference count of 1
277 while (PySet_GET_SIZE(tmp)((static_cast<void> (0)),(((PySetObject *)(tmp))->used
))) {
12
←
Loop condition is false. Execution continues on line 287
→
278 PyObject* value = PySet_Pop(tmp);
279 char* str_buf;
280 Py_ssize_t length;
281 if (ConvertFromPyString(value, &str_buf, &length) == -1) {
282 return -1;
283 }
284 string_set->emplace(str_buf, length);
285 }
286 }
287 return 0;
288}
289
290PyObject* MlirQuantizeModel(PyObject* data, bool disable_per_channel,
291 bool fully_quantize, int inference_type,
292 int input_data_type, int output_data_type,
293 bool enable_numeric_verify,
294 bool enable_whole_model_verify,
295 PyObject* op_denylist, PyObject* node_denylist) {
296 using tflite::interpreter_wrapper::PythonErrorReporter;
297 char* buf = nullptr;
298 Py_ssize_t length;
299 std::unique_ptr<PythonErrorReporter> error_reporter(new PythonErrorReporter);
300
301 if (tflite::python_utils::ConvertFromPyString(data, &buf, &length) == -1) {
1
Assuming the condition is false
→
2
←
Taking false branch
→
302 PyErr_Format(PyExc_ValueError, "Failed to convert input PyObject");
303 return nullptr;
304 }
305
306 StringSet denylisted_ops;
307 StringSet denylisted_nodes;
308 if (ToStringSet(op_denylist, &denylisted_ops) == -1) {
3
←
Calling 'ToStringSet'
→
309 PyErr_Format(PyExc_ValueError, "Failed to convert op denylist PyObject");
310 return nullptr;
311 }
312 if (ToStringSet(node_denylist, &denylisted_nodes) == -1) {
313 PyErr_Format(PyExc_ValueError, "Failed to convert node denylist PyObject");
314 return nullptr;
315 }
316
317 std::unique_ptr<tflite::FlatBufferModel> model =
318 tflite::FlatBufferModel::BuildFromBuffer(buf, length,
319 error_reporter.get());
320 if (!model) {
321 PyErr_Format(PyExc_ValueError, "Invalid model");
322 return nullptr;
323 }
324 auto tflite_model = absl::make_unique<tflite::ModelT>();
325 model->GetModel()->UnPackTo(tflite_model.get(), nullptr);
326
327 tflite::TensorType inference_tensor_type =
328 FromTocoDataTypeToTflitToTensorType(inference_type);
329 tflite::TensorType input_type =
330 FromTocoDataTypeToTflitToTensorType(input_data_type);
331 tflite::TensorType output_type =
332 FromTocoDataTypeToTflitToTensorType(output_data_type);
333
334 flatbuffers::FlatBufferBuilder builder;
335 auto status = mlir::lite::QuantizeModel(
336 *tflite_model, input_type, output_type, inference_tensor_type, {},
337 disable_per_channel, fully_quantize, &builder, error_reporter.get(),
338 enable_numeric_verify, enable_whole_model_verify,
339 /*legacy_float_scale=*/true, denylisted_ops, denylisted_nodes);
340
341 if (status != kTfLiteOk) {
342 error_reporter->exception();
343 return nullptr;
344 }
345 return tflite::python_utils::ConvertToPyString(
346 reinterpret_cast<const char*>(builder.GetCurrentBufferPointer()),
347 builder.GetSize());
348}
349
350PyObject* MlirSparsifyModel(PyObject* data) {
351 using tflite::interpreter_wrapper::PythonErrorReporter;
352 char* buf = nullptr;
353 Py_ssize_t length;
354 std::unique_ptr<PythonErrorReporter> error_reporter(new PythonErrorReporter);
355
356 if (tflite::python_utils::ConvertFromPyString(data, &buf, &length) == -1) {
357 PyErr_Format(PyExc_ValueError, "Failed to convert input PyObject");
358 return nullptr;
359 }
360 std::unique_ptr<tflite::FlatBufferModel> model =
361 tflite::FlatBufferModel::BuildFromBuffer(buf, length,
362 error_reporter.get());
363 if (!model) {
364 PyErr_Format(PyExc_ValueError, "Invalid model");
365 return nullptr;
366 }
367 auto tflite_model = absl::make_unique<tflite::ModelT>();
368 model->GetModel()->UnPackTo(tflite_model.get(), nullptr);
369
370 flatbuffers::FlatBufferBuilder builder;
371 auto status =
372 mlir::lite::SparsifyModel(*tflite_model, &builder, error_reporter.get());
373
374 if (status != kTfLiteOk) {
375 error_reporter->exception();
376 return nullptr;
377 }
378 return tflite::python_utils::ConvertToPyString(
379 reinterpret_cast<const char*>(builder.GetCurrentBufferPointer()),
380 builder.GetSize());
381}
382
383PyObject* RegisterCustomOpdefs(PyObject* list) {
384 if (!PyList_Check(list)((((((PyObject*)(list))->ob_type))->tp_flags & ((1UL
<< 25))) != 0)) {
385 PyErr_SetString(PyExc_TypeError, "Expected list in argument");
386 return nullptr;
387 }
388
389 int64_t size = PyList_Size(list);
390 for (int i = 0; i < size; ++i) {
391 // Get character array from Python object.
392 char* tf_opdefs;
393 Py_ssize_t len;
394 if (tflite::python_utils::ConvertFromPyString(PyList_GetItem(list, i),
395 &tf_opdefs, &len) == -1) {
396 PyErr_Format(PyExc_ValueError,
397 "Failed to convert Python string at index %d of custom op "
398 "defs argument",
399 i);
400 return nullptr;
401 }
402
403 // Parse op def from character array.
404 tensorflow::OpDef opdef;
405 if (!tensorflow::protobuf::TextFormat::ParseFromString(tf_opdefs, &opdef)) {
406 PyErr_Format(
407 PyExc_ValueError,
408 "Failed to parse opdefs at index %d of custom op defs argument: %s",
409 i, tf_opdefs);
410 return nullptr;
411 }
412
413 // Register extra opdefs to TensorFlow global op registry.
414 tensorflow::OpRegistry::Global()->Register(
415 [opdef](
416 tensorflow::OpRegistrationData* op_reg_data) -> tensorflow::Status {
417 *op_reg_data = tensorflow::OpRegistrationData(opdef);
418 return tensorflow::Status::OK();
419 });
420
421 // Register the corresponding fake op kernel.
422 const char* node_name = opdef.name().c_str();
423 const char* op_name = opdef.name().c_str();
424 const char* device_name = "CPU";
425 static auto fake_compute_func = [](void* kernel, TF_OpKernelContext* ctx) {
426 };
427
428 TF_KernelBuilder* builder =
429 TF_NewKernelBuilder(op_name, device_name, /*create_func=*/nullptr,
430 fake_compute_func, /*delete_func=*/nullptr);
431
432 TF_Status* status = TF_NewStatus();
433 TF_RegisterKernelBuilder(node_name, builder, status);
434 if (TF_GetCode(status) != TF_OK) {
435 TF_DeleteStatus(status);
436 PyErr_Format(PyExc_ValueError,
437 "Failed to register fake op kernel at index %d of custom op "
438 "defs argument",
439 i);
440 return nullptr;
441 }
442 TF_DeleteStatus(status);
443 }
444
445 Py_RETURN_TRUEreturn _Py_INCREF(((PyObject*)(((PyObject *) &_Py_TrueStruct
)))), ((PyObject *) &_Py_TrueStruct);
446}
447
448const std::vector<std::string> RetrieveCollectedErrors() {
449 mlir::TFL::ErrorCollector* collector =
450 mlir::TFL::ErrorCollector::GetErrorCollector();
451 std::vector<std::string> collected_errors;
452 for (const auto& error_data : collector->CollectedErrors()) {
453 collected_errors.push_back(error_data.SerializeAsString());
454 }
455 collector->Clear();
456 return collected_errors;
457}
458
459std::string FlatBufferFileToMlir(const std::string& model,
460 bool input_is_filepath) {
461 return ::tensorflow::FlatBufferFileToMlir(model, input_is_filepath);
462}
463
464} // namespace toco
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/opt/pyrefcon/lib/pyrefcon/models/models/PySet_New.model

1#ifndef PySet_New
2struct _object;
3typedef struct _object PyObject;
4PyObject* clang_analyzer_PyObject_New_Reference();
5PyObject* PySet_New(PyObject *iterable) {
6 return clang_analyzer_PyObject_New_Reference();
10
←
Setting reference count to 1
→
7}
8#else
9#warning "API PySet_New is defined as a macro."
10#endif