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tensorflow/c/eager/immediate_execution_distributed_manager.h
// Set up distributed execution environment on local and remote tasks. // When `reset_context` is true, initialize new cluster context state based // on cluster configurations provided in `server_def`; otherwise, update // existing context state with the provided `server_def`. Contexts created // on remote tasks will be considered stale and garbage collected after // `keep_alive_secs` of inactivity.
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CODE_OF_CONDUCT.md
## Enforcement
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tensorflow/c/eager/c_api.h
// found in the provided `op`. TF_CAPI_EXPORT extern int TFE_OpGetInputLength(TFE_Op* op, const char* input_name, TF_Status* status); // Returns the length (number of tensors) of the output argument `output_name` // found in the provided `op`. TF_CAPI_EXPORT extern int TFE_OpGetOutputLength(TFE_Op* op,
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
index c555bf2..143b26d 100644 --- a/include/libc-symbols.h +++ b/include/libc-symbols.h @@ -107,6 +107,11 @@ # endif #endif +#ifndef __attribute_copy__ +/* Provide an empty definition when cdefs.h is not included. */ +# define __attribute_copy__(arg) +#endif + #ifndef __ASSEMBLER__ /* GCC understands weak symbols and aliases; use its interface where
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
setup_file() { cd /tf/tensorflow bazel version # Start the bazel server } # Do a bazel query specifically for the licenses checker. It searches for # targets matching the provided query, which start with // or @ but not # //tensorflow (so it looks for //third_party, //external, etc.), and then # gathers the list of all packages (i.e. directories) which contain those # targets. license_query() {
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tensorflow/c/c_api.cc
if (n == nullptr) continue; // Adding the gradients to the graph can alter the prefix to prevent // name collisions only if this prefix has not been provided explicitly // by the user. If it was provided, assert that it remained intact. if (prefix != nullptr && !absl::StartsWith(n->name(), prefix_cmp)) { status->status = tensorflow::errors::Internal(
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// // As some filesystems require special setup, these tests are run manually. // // Each filesystem implementation can be provided by DSOs, so we provide the // `--dsos` flag to specify a list of shared objects to be loaded in order. // If the flag is not used, no shared objects are loaded. // // Every filesystem provides support for accessing URIs of form // `[<scheme>://]<path>` where `<scheme>` is optional (if missing, we are
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tensorflow/c/c_op_requires.h
// Convenience macros for asserting and handling exceptional conditions, for // C structs, including `TF_OpKernelContext`, `TF_Status`, etc. This is analogus // to the macros in tensorflow/core/framework/op_requires.h. This is provided // for plugin OpKernel developer's convenience. #define C_OPKERNELCONTEXT_REQUIRES_OK(CTX, C_STATUS, __VA_ARGS__) \ do { \
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.github/ISSUE_TEMPLATE/tflite-other.md
us what you see! value: "A bug happened!" render: shell validations: required: true - type: textarea id: code-to-reproduce attributes: label: Standalone code to reproduce the issue description: Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to Colab/Jupyter/any notebook. placeholder: Tell us what you
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tensorflow/c/eager/immediate_execution_tensor_handle.h
// metadata and synchronization. // // This allows us to hide concrete implementations of TensorHandle from header // files. The interface lists the common functionality that must be provided by // any concrete implementation. However, in cases where the true concrete class // is needed a static_cast can be applied. class ImmediateExecutionTensorHandle : public AbstractTensorHandle { public:
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