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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) {
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
F release() { released_ = true; return std::move(f_); } bool is_released() const { return released_; } private: static_assert(!std::is_reference<F>::value, "F must not be a reference"); bool released_ = false; F f_; }; template <int&... ExplicitParameterBarrier, typename F, typename DecayF = typename std::decay<F>::type>
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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/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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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
dynamic_addr(symbol) = static_addr(symbol) + load_addr - The choice of symbol is arbitrary. The static address we obtain - by constructing a non GOT reference to the symbol, the dynamic - address of the symbol we compute using adrp/add to compute the - symbol's address relative to the PC. */ - - ElfW(Addr) static_addr; - ElfW(Addr) dynamic_addr; -
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.github/workflows/create_issue.js
let assignee_logins = assignees.map(x => x.login); assignee_logins.push(pr_resp.data.user.login); console.log(assignee_logins); // Create an new GH Issue and reference the Original PR const resp = await github.rest.issues.create({ owner, repo, assignees: assignee_logins, title: `Issue created for Rollback of PR #${pr_number}: ${pr_title}`,
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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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