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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/c_api_macros.h
==============================================================================*/ #ifndef TENSORFLOW_C_C_API_MACROS_H_ #define TENSORFLOW_C_C_API_MACROS_H_ #ifdef SWIG #define TF_CAPI_EXPORT #else #if defined(_WIN32) #ifdef TF_COMPILE_LIBRARY #define TF_CAPI_EXPORT __declspec(dllexport) #else #define TF_CAPI_EXPORT __declspec(dllimport) #endif // TF_COMPILE_LIBRARY #else #ifdef TF_CAPI_WEAK
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 04:44:45 GMT 2023 - 1.6K bytes - Viewed (1) -
tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
/// Look up the entry with key `key` and copy it to `value` if found. If not /// found, call `compute_func`. If `compute_func` set `status` to `TF_OK`, /// store a copy of the output parameter in the cache, and another copy in /// `value`. void LookupOrCompute(const std::string& key, T* value, const ComputeFunc& compute_func, TF_Status* status) { if (max_age_ == 0) { return compute_func(key, value, status);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 19:31:22 GMT 2020 - 6.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// is for performance optimization by reusing an exiting unused op rather than // creating a new op every time. If `raw_device_name` is `NULL` or empty, it // does not set the device name. If it's not `NULL`, then it attempts to parse // and set the device name. It's effectively `TFE_OpSetDevice`, but it is faster // than separately calling it because if the existing op has the same // `raw_device_name`, it skips parsing and just leave as it is.
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/experimental/grappler/grappler.h
TF_GraphProperties* graph_properties); // Infer tensor shapes through abstract interpretation. // If assume_valid_feeds is true, it can help infer shapes in the fanout of fed // nodes. This may cause incorrectness in graph analyses, but is useful for // simulation or scheduling. // If aggressive_shape_inference is true, nodes are executed on the host to
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_operation.h
ImmediateExecutionTensorHandle* input) = 0; virtual ImmediateExecutionContext* GetContext() const = 0; // Following two methods are used to support custom device. // Return true if the inputs contain custom device tensor handle. It means // that the argument need to be handled by a custom device. virtual bool HasCustomDeviceInput() const = 0; virtual const tensorflow::OpDef* OpDef() const = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 22:40:32 GMT 2022 - 3.6K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.h
namespace tensorflow { namespace gradients { /* Returns numerical grad inside `dtheta_approx` given `forward` model and * parameter specified by `input_index`. * * I.e. if y = <output of the forward model> and w = inputs[input_index], * this will calculate dy/dw numerically. * * `use_function` indicates whether to use graph mode(true) or eager(false). *
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 02:34:32 GMT 2020 - 1.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.h
// Append a tensor at the end of the output list, growing its size by one. void TF_OutputListPushBack(TF_OutputList* o, TF_AbstractTensor* tensor, TF_Status*); // TF_ExecuteOperation will, if in eager mode, execute, if in graph mode, maybe // capture some inputs and then add a node in the graph. The output tensors are // returned through the provided TF_OutputList. // Any active tape will observe the effects of this execution.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
auto it = tensor_usage_.find(tensor_id); if (it == tensor_usage_.end()) { return; } it->second--; if (it->second != 0) { return; } tensor_usage_.erase(it); auto tensor_op_it = tensor_tape_.find(tensor_id); if (tensor_op_it == tensor_tape_.end()) { return; } const int64_t op_id = tensor_op_it->second; if (op_id == -1) { // Do not delete watched tensors.
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) -
tensorflow/c/c_api_experimental.h
// run on device_type. TF_CAPI_EXPORT extern void TF_AttrBuilderCheckCanRunOnDevice( TF_AttrBuilder* builder, const char* device_type, TF_Status* status); // For argument number input_index, fetch the corresponding number_attr that // needs to be updated with the argument length of the input list. // Returns nullptr if there is any problem like op_name is not found, or the
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)