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tensorflow/c/c_api_experimental.h
// from a placeholder node "arg_tensor_enqueue_<tensor_id>". // // `tensor` is still owned by the caller. This call will be blocked if the queue // has reached its capacity, and will be unblocked when the queued tensors again // drop below the capacity due to dequeuing. // // Tensors are dequeued via the corresponding TF dequeue op. // TODO(hongm): Add support for `timeout_ms`.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/c_api.h
// of all the strings in the list. // (3) If type == TF_ATTR_SHAPE and is_list == 0 // then total_size is the number of dimensions // of the shape valued attribute, or -1 // if its rank is unknown. // (4) If type == TF_ATTR_SHAPE and is_list == 1 // then total_size is the cumulative number // of dimensions of all shapes in the list. // (5) Otherwise, total_size is undefined.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/eager/c_api_remote_test_util.h
==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ #define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ // Run a function containing a MatMul op and check its output. // If heavy_load_on_streaming_rpc is true, send some rpc requests before the one // which creates a remote input, to simulate a scenario that the remote input // is not ready when we start running an op or a function.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
// Deletes `debug_info`. TF_CAPI_EXPORT extern void TFE_DeleteTensorDebugInfo( TFE_TensorDebugInfo* debug_info); // Returns the number of dimensions used to represent the tensor on its device. // The number of dimensions used to represent the tensor on device can be // different from the number returned by TFE_TensorHandleNumDims. // The return value was current at the time of TFE_TensorDebugInfo creation.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/eager/gradients.h
public: using GradientTape<AbstractTensorHandle, GradientFunction, TapeTensor>::GradientTape; // Returns whether the tape is persistent, i.e., whether the tape will hold // onto its internal state after a call to `ComputeGradient`. using GradientTape<AbstractTensorHandle, GradientFunction, TapeTensor>::IsPersistent; // Adds this tensor to the list of watched tensors. //
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tensorflow/c/eager/immediate_execution_context.h
const FunctionDef& fdef, const StackTracesMap& stack_traces) = 0; // Find and return a added function by its name. virtual const FunctionDef* FindFunctionDef(const string& name) const = 0; // Find and return a function record added by its name. virtual core::RefCountPtr<FunctionRecord> FindRecord( const string& name) const = 0; // Return the ParsedName of Host CPU device.
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/eager/c_api_unified_experimental_internal.h
public: // For LLVM style RTTI. static bool classof(const AbstractTensorHandle* ptr) { return ptr->getKind() == kGraph || ptr->getKind() == kMlir; } }; // An abstract operation describes an operation by its type, name, and // attributes. It can be "executed" by the context with some input tensors. // It is allowed to reusing the same abstract operation for multiple execution // on a given context, with the same or different input tensors.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Nov 13 22:20:40 GMT 2020 - 5.2K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/filesystem_interface.h
/// the struct pointer (e.g., when a file type is not supported). /// /// DEFAULT IMPLEMENTATIONS: Some operations have default implementations that /// TensorFlow uses in case the plugin doesn't supply its own version. An /// operation `foo` might have a default implementation which uses `bar` and /// `foobar`. If the plugin supplies `bar` and `foobar`, TensorFlow can use the /// default implementation of `foo`. ///
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