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tensorflow/c/eager/c_api.h
int num_inputs, TF_Status* status); // Fetches the current number of inputs attached to `op`. // // Does not use the operation's definition to determine how many inputs should // be attached. It is intended for use with TFE_OpGetFlatInput to inspect an // already-finalized operation. //
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tensorflow/c/c_api.cc
bool ExtendSessionGraphHelper(TF_Session* session, TF_Status* status) { if (session->graph != nullptr) { // Take the graph lock before the session lock to avoid deadlock. This is // safe since session->graph does not change. session->graph->mu.lock(); mutex_lock session_lock(session->mu); const Graph& graph = session->graph->graph; const string& mutation_warning = session->graph->sessions[session];
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ci/official/README.md
# generated artifacts like .whl files, and "script.log", from the script. # Note that files created under Docker will be owned by "root". ls build_output ``` ## Contribution & Maintenance The TensorFlow team does not yet have guidelines in place for contributing to this directory. We are working on it. Please join a TF SIG Build meeting (see: bit.ly/tf-sig-build-notes) if you'd like to discuss the future of contributions.
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RELEASE.md
breaking change only impacts `tf.image.extract_glimpse` and `tf.compat.v2.image.extract_glimpse` API endpoints. The behavior of `tf.compat.v1.image.extract_glimpse` does not change. The behavior of existing C++ kernel `ExtractGlimpse` does not change either, so saved models using `tf.raw_ops.ExtractGlimpse` will not be impacted. ## Known Caveats * `tf.lite`
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tensorflow/c/BUILD
], "//conditions:default": [], }) + if_tensorrt([ "//tensorflow/compiler/tf2tensorrt:trt_convert_api", ]), ) # Check that c_api_no_xla does not depend on xla. check_deps( name = "c_api_no_xla_check_deps", disallowed_deps = ["//tensorflow/compiler/jit:xla_kernel_creator"], deps = [":c_api_no_xla"], ) tf_cuda_library(
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ci/official/utilities/setup_macos.sh
chmod +x "/usr/local/bin/bazel" fi # "TFCI_MACOS_UPGRADE_PYENV_ENABLE" is used to decide if we need to upgrade the # Pyenv version. We enable this for macOS x86 builds as the default Pyenv on # those VMs does not support installing Python 3.12 and above which we need # for running smoke tests in nightly/release wheel builds. if [[ "${TFCI_MACOS_UPGRADE_PYENV_ENABLE}" == 1 ]]; then
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SECURITY.md
TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for internal communication only. It is not built for use in untrusted environments or networks. For performance reasons, the default TensorFlow server does not include any authorization protocol and sends messages unencrypted. It accepts connections from anywhere, and executes the graphs it is sent without performing any checks.
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LICENSE
Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the
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tensorflow/c/c_api_function_test.cc
DefineT(-1, {}, {{feed1, 0}, {feed2, 2}}, {{add, 0}}, {}, true); EXPECT_EQ(TF_OUT_OF_RANGE, TF_GetCode(s_)); EXPECT_EQ(string("Node 'feed2' (type: 'Placeholder', num of outputs: 1) does " "not have output 2\n\tEncountered while processing " "input 1 into function 'MyFunc'"), string(TF_Message(s_))); }
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tensorflow/c/eager/c_api.cc
int num_handles, TF_Status* status, void* device_info) { TF_SetStatus(status, TF_UNIMPLEMENTED, "This custom device does not support packing tensors."); return nullptr; } } // namespace extern "C" { bool TFE_IsCustomDevice(TFE_Context* ctx, const char* device_name) {
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