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tensorflow/c/eager/c_api_unified_experimental.h
// 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. TF_ExecutionContext* TF_NewEagerExecutionContext(TFE_ContextOptions*,
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
// Registers a custom device for use with eager execution. // // Eager operations may be placed on this device, e.g. `with // tf.device("CUSTOM"):` from Python if `device_name` for this call is // "/job:localhost/replica:0/task:0/device:CUSTOM:0". // // The custom device defines copy operations for moving TensorHandles on and // off, and an execution operation for named operations. Often execution will
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/parallel_device/parallel_device_lib.h
std::unique_ptr<ParallelTensor> DeviceIDs(TFE_Context* context, TF_Status* status) const; // The number of devices operations run on. size_t num_underlying_devices() const { return underlying_devices_.size(); } // The devices operations run on. const std::vector<std::string>& underlying_devices() const { return underlying_devices_; }
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tensorflow/c/c_api.h
// below). // opers - Array of operations to become the body of the function or null. // - If no array is given (`num_opers` = -1), all the // operations in `fn_body` will become part of the function // except operations referenced in `inputs`. These operations // must have a single output (these operations are typically
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tensorflow/c/eager/parallel_device/parallel_device_testlib.h
#include "tensorflow/c/eager/parallel_device/parallel_device_lib.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace parallel_device { // A helper for performing common operations on variables. A much more // restricted stand-in for tf.Variable in Python. class Variable { public: // Construct a Variable from a resource-dtype TFE_TensorHandle and an
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tensorflow/c/eager/abstract_context.h
#include "tensorflow/c/eager/abstract_operation.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.
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tensorflow/c/eager/parallel_device/parallel_device.h
#include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_experimental.h" namespace tensorflow { namespace parallel_device { // Allocate a parallel device named `device_name` which forwards operations to // `underlying_devices`, maintaining "parallel tensors" with components placed // on each underlying device. // // For example if `device_name` is // "/job:localhost/replica:0/task:0/device:CUSTOM:0"
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tensorflow/c/eager/tape.h
if (call_state_.top().backward_tape != nullptr) { // If backward_tape is not null, then this call to Accumulate is the result // of a still-active call to Accumulate which is running operations. We // forward these operations to backward_tape so the outer Accumulate call // can do its work. // // Rather than re-entering and delegating Accumulate like this, we could
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tensorflow/c/eager/c_api.h
// some input tensors are not on that device. // LINT.IfChange // Note: Keep in sync with internal copy of enum in eager/context.h. typedef enum TFE_ContextDevicePlacementPolicy { // Running operations with input tensors on the wrong device will fail. TFE_DEVICE_PLACEMENT_EXPLICIT = 0, // Copy the tensor to the right device but log a warning. TFE_DEVICE_PLACEMENT_WARN = 1,
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// that plugins provide (some are mandatory, some are optional, with or without /// a default implementation). /// /// Each plugin implements the operations that are supported and TensorFlow will /// properly handle the cases when an operation is not supported (i.e., return /// the corresponding `Status` value). ///
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