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tensorflow/c/eager/c_api.h
TFE_DEVICE_PLACEMENT_SILENT_FOR_INT32 = 3, } TFE_ContextDevicePlacementPolicy; // LINT.ThenChange(//tensorflow/c/eager/immediate_execution_context.h) // Sets the default execution mode (sync/async). Note that this can be // overridden per thread using TFE_ContextSetExecutorForThread. TF_CAPI_EXPORT extern void TFE_ContextOptionsSetAsync(TFE_ContextOptions*,
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/c_api_experimental.h
// enabled through MarkForCompilationPassFlags. TF_CAPI_EXPORT unsigned char TF_GetXlaAutoJitEnabled(); // Sets XLA's minimum cluster size. This has global effect. TF_CAPI_EXPORT void TF_SetXlaMinClusterSize(int size); // Gets/Sets TF/XLA flag for whether(true) or not(false) to disable constant // folding. This is for testing to ensure that XLA is being tested rather than
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tensorflow/c/eager/immediate_execution_context.h
// Enables running eager ops as functions. virtual void SetRunEagerOpAsFunction(bool enable) = 0; // Enables rewriting jit_compile functions. virtual void SetJitCompileRewrite(bool enable) = 0; // Sets the device placement policy for the current thread. virtual void SetThreadLocalDevicePlacementPolicy( ContextDevicePlacementPolicy policy) = 0; // Returns the device placement policy for the current thread.
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tensorflow/c/eager/c_api_experimental.h
TFE_MonitoringSampler2* sampler); TF_CAPI_EXPORT extern TFE_MonitoringSamplerCell* TFE_MonitoringGetCellSampler2( TFE_MonitoringSampler2* sampler, const char* label1, const char* label2); // Sets whether to use TFRT TF_CAPI_EXPORT extern void TFE_ContextOptionsSetTfrt(TFE_ContextOptions*, bool use_tfrt);
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
~ParallelDevice(); // Helper to copy a tensor handle from another device once for each component // of the ParallelDevice. // // Sets a bad status and returns a nullptr if `tensor` is already on the // ParallelDevice, or if the individual copies fail. std::unique_ptr<ParallelTensor> CopyToParallelDevice(TFE_Context* context,
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/tape.h
// // Executes the backward function in order to trace its gradient, which will // waste computation if executing eagerly (when graph building the unneeded // computation is pruned). Temporarily sets `backward_tape` so that // Accumulate will forward op executions to the tape while the backward // function is running; this effectively adds the backward tape to the active
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tensorflow/c/eager/dlpack.cc
TensorReference reference; std::vector<int64_t> shape; std::vector<int64_t> strides; DLManagedTensor tensor; explicit TfDlManagedTensorCtx(const TensorReference& ref) : reference(ref) {} }; // Gets tensor from eager tensor handle. const Tensor* GetTensorFromHandle(TFE_TensorHandle* h, TF_Status* status) { if (h == nullptr) { status->status = tensorflow::errors::InvalidArgument("Invalid handle"); return nullptr;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
CONTRIBUTING.md
change. - You make the change and submit it for the review again. - This cycle repeats itself until the PR gets approved. - Note: As a friendly reminder, we may reach out to you if the PR is awaiting your response for more than 2 weeks. **4. Approved** - Once the PR is approved, it gets `kokoro:force-run` label applied and it initiates CI/CD tests. - We can't move forward if these tests fail.
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README.md
[tools](https://www.tensorflow.org/resources/tools), [libraries](https://www.tensorflow.org/resources/libraries-extensions), and [community](https://www.tensorflow.org/community) resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. TensorFlow was originally developed by researchers and engineers working within
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tensorflow/c/eager/parallel_device/parallel_device.cc
// A ParallelDevice on its own is not registered with a TFE_Context, and so has // no device name (e.g. for `tf.device`). `NamedParallelDevice` associates a // name with it, which lets us pack its `ParallelTensor`s into TFE_TensorHandles // placed on the parallel device. class NamedParallelDevice { public: NamedParallelDevice(const std::string& name,
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