- Sort Score
- Result 10 results
- Languages All
Results 11 - 20 of 21 for much (0.43 sec)
-
tensorflow/c/c_api.cc
return; } // We have a convoluted scheme here: Using the C++ graph construction API // to add potentially many nodes to the graph without running the checks // (such as uniqueness of the names of nodes) we run with other functions // that add a node to the graph (like TF_FinishOperation). if (!g->name_map.insert(std::make_pair(n->name(), n)).second) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
int64_t init_timeout_in_ms, TF_Status* status, bool clear_existing_contexts); // Set server def with retries and timeout. This is helpful for fault-tolerant // initial connection in high-preemption environments, such as // ParameterServerStrategy training. // This API is for experimental usage and may be subject to change. TF_CAPI_EXPORT extern void TFE_ContextSetServerDefWithTimeoutAndRetries(
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) -
SECURITY.md
targets of those operations, which could result in arbitrary read/write/executions. ### Running a TensorFlow server TensorFlow is a platform for distributed computing, and as such there is a 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.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Sun Oct 01 06:06:35 GMT 2023 - 9.6K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
DEVICE_PLACEMENT_SILENT_FOR_INT32 = 3, }; // LINT.ThenChange(//tensorflow/c/eager/c_api.h) // Abstract interface to a context. // // A context is responsible for creating key objects such as Tensors, // TensorHandles & Operations. class ImmediateExecutionContext : public AbstractContext { public: // Optimized scalar creation functions virtual AbstractTensorInterface* CreateInt64Scalar(int64_t value) = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/filesystem_interface.h
/// parameter if that is a plain C type, as this ensures ABI compatibility /// (returning structures has issues in case compiler options affect /// optimizations such as RVO). If a status needs to be returned from these /// methods, the last argument is always a `TF_Status *` (or an array of such /// pointers) owned by core TensorFlow and guaranteed to not be `nullptr`. /// /// To ensure ABI and API compatibility, we have out-of-bounds data that is used
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 17:36:54 GMT 2022 - 53.1K bytes - Viewed (0) -
tensorflow/BUILD
# New rules should be added above this target. # ------------------------------------------- # TensorFlow uses several libraries that may also be used by applications # linking against the C and C++ APIs (such as libjpeg). When we create # the shared library, only export the core TF API functions to avoid # causing library conflicts (e.g., those reported in github issue 1924).
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 09 18:15:11 GMT 2024 - 53.4K bytes - Viewed (8) -
tensorflow/c/eager/tape.h
std::unordered_map<int64_t, OpTapeEntry<BackwardFunction, TapeTensor>>; // Operations the tape needs to perform on tensors to do backpropagation. Named // "vspace" because a subset of these are related to a vector space, such as // adding gradients, getting zeroes, etc. Currently cannot be implemented // without using tensorflow python code, hence left unspecified here. // // Gradient is the type returned by gradient functions. In Python TF it's either
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) -
.bazelrc
# END TF TEST SUITE OPTIONS # START CROSS-COMPILE CONFIGS # Set execution platform to Linux x86 # Note: Lot of the "host_" flags such as "host_cpu" and "host_crosstool_top" # flags seem to be actually used to specify the execution platform details. It # seems it is this way because these flags are old and predate the distinction
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2) -
tensorflow/c/experimental/next_pluggable_device/c_api.cc
TF_VariableInfo() = delete; // TF_VariableInfo is constructed here by TensorFlow, and will be passed to // plugin as a opaque pointer. Plugin will need to call C APIs below to // operate on TF_VariableInfo (such as allocate temp tensor for the `var` held // by the underlying tensorflow::VariableInfo. TF_VariableInfo(int index, const std::string& name, tensorflow::Var* var) { var_info = tensorflow::VariableInfo{index, name, var};
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jan 09 00:52:04 GMT 2024 - 13.9K bytes - Viewed (1) -
tensorflow/c/c_api_function.cc
body_nodes->push_back(node); } else { // This node is referenced in inputs. Currently, we place an // artificial restriction and require that when num_opers=-1, such // nodes must have a single output. if (node->num_outputs() != 1) { return InvalidArgument( "When `num_opers` is set to -1, nodes referenced in `inputs` "
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2)