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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
} close(fd); } static void CreateDir(const TF_Filesystem* filesystem, const char* path, TF_Status* status) { if (strlen(path) == 0) TF_SetStatus(status, TF_ALREADY_EXISTS, "already exists"); else if (mkdir(path, /*mode=*/0755) != 0) TF_SetStatusFromIOError(status, errno, path); else TF_SetStatus(status, TF_OK, ""); }
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 15.8K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
Status GradientRegistry::Register( const string& op_name, GradientFunctionFactory gradient_function_factory) { auto iter = registry_.find(op_name); if (iter != registry_.end()) { const string error_msg = "Gradient already exists for op: " + op_name + "."; return errors::AlreadyExists(error_msg); } registry_.insert({op_name, gradient_function_factory}); return absl::OkStatus(); } Status GradientRegistry::Lookup(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
status->status = c.construction_status(); if (!status->status.ok()) return; if (op_reg_data->shape_inference_fn == nullptr) { status->status = InvalidArgument("No shape inference function exists for op '", node_def.op(), "', did you forget to define it?"); return; } status->status = c.Run(op_reg_data->shape_inference_fn); if (!status->status.ok()) return;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
CONTRIBUTING.md
your changes by running the command: ```bash tensorflow/tools/ci_build/ci_build.sh CPU tensorflow/tools/ci_build/ci_sanity.sh ``` This will catch most license, Python coding style and BUILD file issues that may exist in your changes. #### Running unit tests There are two ways to run TensorFlow unit tests. 1. Using tools and libraries installed directly on your system. Refer to the
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
int64_t init_timeout_in_ms, int retries, TF_Status* status, bool clear_existing_contexts); // Checks whether a remote worker is alive or not. This will return true even if // the context doesn't exist on the remote worker. TF_CAPI_EXPORT extern bool TFE_ContextCheckAlive(TFE_Context* ctx, const char* worker_name, TF_Status* status);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
namespace { template <typename BackwardFunction, typename TapeTensor> struct BackpropInitialState { OpTape<BackwardFunction, TapeTensor> op_tape; // Map from tensor ID to how many references still exist for this tensor in // the tape. std::unordered_map<int64_t, int64_t> tensor_usage_counts; // Maps from op ID to how many output tensors of this op still need to have // their gradients computed.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1)