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tensorflow/c/eager/gradient_checker.h
==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_ #define TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_ #include <memory> #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/eager/unified_api_testutil.h" namespace tensorflow { namespace gradients {
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/immediate_execution_operation.h
#ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_OPERATION_H_ #define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_OPERATION_H_ #include <memory> #include "absl/types/optional.h" #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_operation.h" #include "tensorflow/c/eager/immediate_execution_tensor_handle.h" #include "tensorflow/c/tensor_interface.h" #include "tensorflow/core/framework/cancellation.h"
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/c_api_unified_experimental.h
// here. void TF_SetTracingImplementation(const char* name, TF_Status*); // Creates a new TensorFlow function. A Function is an execution context, and as // such it can trace operations through TF_ExecuteOperation. After completing // tracing, a function can be obtained by TF_FinalizeFunction. TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* status); // Creates a context for eager execution of operations.
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/c_api_experimental.h
// EagerService to maintain consistency between client and worker. The // context_id is initialized with a dummy value and is later set when the worker // is initialized (either locally or remotely). The context_id can change during // the process lifetime although this should cause the worker to be // reinitialized (e.g. cleared caches) as well. TF_CAPI_EXPORT extern uint64_t TFE_GetContextId(TFE_Context* ctx);
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
} // Note: we hold onto mu_ for the rest of this function. In practice, this // is okay, as stat requests are typically fast, and concurrent requests are // often for the same file. Future work can split this up into one lock per // key if this proves to be a significant performance bottleneck. absl::MutexLock lock(&mu_); if (LookupLocked(key, value)) { return TF_SetStatus(status, TF_OK, ""); }
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
#define TENSORFLOW_C_EAGER_PARALLEL_DEVICE_PARALLEL_DEVICE_LIB_H_ #include <memory> #include <optional> #include <string> #include <utility> #include <vector> #include "absl/types/optional.h" #include "absl/types/span.h" #include "absl/types/variant.h" #include "tensorflow/c/c_api.h" #include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_experimental.h" #include "tensorflow/c/eager/tfe_op_internal.h"
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental_reader.h
// "description", "label"); // and then incremented that counter for various values of label: // streamz->GetCell("label-value")->IncrementBy(1); // // The test code can then read and test the value of that counter: // // auto* reader = TFE_MonitoringNewCounterReader("name"); // test(); // int64_t value = TFE_MonitoringReadCounter1(reader, "label-value"); // Opaque handle to a reader.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 20 03:14:47 GMT 2023 - 2.3K bytes - Viewed (0) -
tensorflow/c/c_api.h
// TF_SessionOptions holds options that can be passed during session creation. typedef struct TF_SessionOptions TF_SessionOptions; // Return a new options object. TF_CAPI_EXPORT extern TF_SessionOptions* TF_NewSessionOptions(void); // Set the target in TF_SessionOptions.options. // target can be empty, a single entry, or a comma separated list of entries.
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/abstract_context.h
namespace tensorflow { // Abstract interface to a context. // // This serves as a factory for creating `AbstractOperation`s and for // registering traced functions. // Operations creation within a context can only be executed in that context // (for now at least). // Implementations of the context may contain some state e.g. an execution // environment, a traced representation etc. class AbstractContext { protected:
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tensorflow/c/eager/parallel_device/parallel_device_testlib.h
class Variable { public: // Construct a Variable from a resource-dtype TFE_TensorHandle and an // indication of the dtype of the variable's value. // // Note that creating this resource-dtype handle can fail, so `Create` is a // separate static method which returns a status. Variable(TFE_TensorHandle* handle, TF_DataType type) : handle_(handle), type_(type) {}
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