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tensorflow/c/experimental/filesystem/modular_filesystem.cc
// TensorFlow, so we need to use `plugin_memory_free_` here. char** matches = nullptr; const int num_matches = ops_->get_matching_paths( filesystem_.get(), pattern.c_str(), &matches, plugin_status.get()); if (num_matches >= 0) { for (int i = 0; i < num_matches; i++) { result->push_back(std::string(matches[i])); plugin_memory_free_(matches[i]); } plugin_memory_free_(matches); }
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.github/ISSUE_TEMPLATE/tflite-other.md
build/installation issues on GitHub. - type: markdown attributes: value: |
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ci/official/wheel_test/README.md
These tests use hermetic Python. They also require a built TensorFlow wheel file and a requirements_lock file. The requirements_lock file is generated by the [requirements_updater](https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater) tool using the path to this wheel file. ### Hermetic Python For details about hermetic Python and setting its toolchain version, see
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tensorflow/c/eager/c_api_unified_experimental_test.cc
// Verify results for each output for (int j = 0; j < 4; j++) { ASSERT_EQ(result_data[j], expected_outputs[idx][j]); } TF_DeleteTensor(f_t); } // Free memory associated with add and MatMul outputs for (int idx = 0; idx < 3; ++idx) { TF_AbstractTensor* result = TF_OutputListGet(func_outputs, idx); TF_DeleteAbstractTensor(result); }
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tensorflow/c/experimental/filesystem/plugins/windows/windows_filesystem.cc
// This filesystem will support `file://` and empty (local) URI schemes. static void* plugin_memory_allocate(size_t size) { return calloc(1, size); } static void plugin_memory_free(void* ptr) { free(ptr); } // SECTION 1. Implementation for `TF_RandomAccessFile` // ---------------------------------------------------------------------------- namespace tf_random_access_file {
C++ - Registered: Tue Apr 09 12:39:09 GMT 2024 - Last Modified: Fri May 27 20:21:15 GMT 2022 - 2.6K bytes - Viewed (0) -
tensorflow/c/c_test.c
TF_NewWritableFile(full_path, &h, status); if (TF_GetCode(status) != TF_OK) { fprintf(stderr, "TF_NewWritableFile failed: %s\n", TF_Message(status)); return 1; } fprintf(stderr, "wrote %s\n", full_path); free(full_path); TF_CloseWritableFile(h, status); if (TF_GetCode(status) != TF_OK) { fprintf(stderr, "TF_CloseWritableFile failed: %s\n", TF_Message(status)); } TF_StringStreamDone(s); TF_KernelBuilder* b =
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Apr 24 20:50:35 GMT 2024 - 2.8K bytes - Viewed (0) -
CODE_OF_CONDUCT.md
# TensorFlow Code of Conduct In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards
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tensorflow/api_template.__init__.py
interfaces into a single place. The interfaces themselves are located in sub-modules, as described below. Note that the file `__init__.py` in the TensorFlow source code tree is actually only a placeholder to enable test cases to run. The TensorFlow build replaces
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
requirements_lock_3_10.txt
dill==0.3.7 \ --hash=sha256:76b122c08ef4ce2eedcd4d1abd8e641114bfc6c2867f49f3c41facf65bf19f5e \ --hash=sha256:cc1c8b182eb3013e24bd475ff2e9295af86c1a38eb1aff128dac8962a9ce3c03 # via -r requirements.in dm-tree==0.1.8 \ --hash=sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6 \ --hash=sha256:0d3172394079a86c3a759179c65f64c48d1a42b89495fcf38976d11cc3bb952c \
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tensorflow/c/c_api.cc
} TF_Buffer TF_GetOpList(TF_Library* lib_handle) { return lib_handle->op_list; } void TF_DeleteLibraryHandle(TF_Library* lib_handle) { if (lib_handle == nullptr) return; tensorflow::port::Free(const_cast<void*>(lib_handle->op_list.data)); delete lib_handle; } TF_Buffer* TF_GetAllOpList() { std::vector<tensorflow::OpDef> op_defs; tensorflow::OpRegistry::Global()->GetRegisteredOps(&op_defs);
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