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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
### 2. Code Provide code to help us reproduce your issues using one of the following options: #### Option A: Reference colab notebooks 1) Reference [TensorFlow Model Colab](https://colab.research.google.com/gist/ymodak/e96a4270b953201d5362c61c1e8b78aa/tensorflow-datasets.ipynb?authuser=1): Demonstrate how to build your TF model.
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tensorflow/c/eager/dlpack.cc
// original framework of destruction, and this context will be deleted also. struct TfDlManagedTensorCtx { TensorReference reference; std::vector<int64_t> shape; std::vector<int64_t> strides; DLManagedTensor tensor; explicit TfDlManagedTensorCtx(const TensorReference& ref) : reference(ref) {} }; // Gets tensor from eager tensor handle. const Tensor* GetTensorFromHandle(TFE_TensorHandle* h, TF_Status* status) {
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tensorflow/c/eager/graph_function.h
~GraphFunction() override; // GraphFunction maybe stay alive for the duration of the returned // FunctionDef. Status GetFunctionDef(const FunctionDef** fdef) override; // Returns a shared reference to the wrapped function. absl::StatusOr<core::RefCountPtr<FunctionRecord>> GetFunctionRecord() override { return func_record_.GetNewRef(); } // For LLVM style RTTI.
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ci/official/README.md
# "rbe", if you have set up your system to use RBE (see further below). # # Here is how to choose your TFCI value: # 1. A Python version must come first, because other scripts reference it. # Ex. py39 -- Python 3.9 # Ex. py310 -- Python 3.10 # Ex. py311 -- Python 3.11 # Ex. py312 -- Python 3.12 # 2. Choose the platform, which corresponds to the version of TensorFlow to
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
s = fs->CreateDir(root_dir_); if (!s.ok()) { GTEST_SKIP() << "Cannot create working directory: " << s; } } // Converts path reference to URI reference. // // If URI scheme is empty, URI reference is `path` relative to current test // root directory. Otherwise, we need to add the `<scheme>://` in front of // this path. //
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RELEASE.md
* Fixes an undefined behavior arising from reference binding to nullptr in shape inference ([CVE-2021-37676](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37676)) * Fixes a division by 0 in most convolution operators ([CVE-2021-37675](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37675)) * Fixes vulnerabilities arising from missing validation in shape inference for `Dequantize`
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tensorflow/c/eager/tape.h
// a nullptr if none is available. // // Returns a borrowed reference, i.e. does not run VSpace::MarkAsResult on its // return value. The caller should increment the reference count before // deleting the ForwardAccumulator or calling DeleteGradient if keeping a // persistent reference to a non-null result. Gradient* FetchJVP(int64_t tensor_id);
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tensorflow/c/eager/abstract_function.h
AbstractFunctionKind getKind() const { return kind_; } // Returns the AbstractFunction as a FunctionDef. virtual Status GetFunctionDef(const FunctionDef**) = 0; // Returns a shared reference to the wrapped function. virtual absl::StatusOr<core::RefCountPtr<FunctionRecord>> GetFunctionRecord() = 0; private: const AbstractFunctionKind kind_; }; using AbstractFunctionPtr =
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tensorflow/c/eager/c_api.h
TF_CAPI_EXPORT extern int TFE_OpGetFlatInputCount(const TFE_Op* op, TF_Status* status); // Returns a borrowed reference to one of `op`'s inputs. Use // `TFE_TensorHandleCopySharingTensor` to make a new reference. TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_OpGetFlatInput(const TFE_Op* op, int index,
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tensorflow/c/eager/c_api_experimental.h
// inspect values. This would let people e.g. copy over most attributes and then // modify some based on their values. // A reference to an op's name -> attribute mapping typedef struct TFE_OpAttrs TFE_OpAttrs; // Fetch a reference to `op`'s attributes. The returned reference is only valid // while `op` is alive. TF_CAPI_EXPORT extern const TFE_OpAttrs* TFE_OpGetAttrs(const TFE_Op* op);
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