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tensorflow/c/c_api_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); // Setup a session and a partial run handle. The partial run will allow // computation of A + 2 + B in two phases (calls to TF_SessionPRun): // 1. Feed A and get (A+2) // 2. Feed B and get (A+2)+B TF_SessionOptions* opts = TF_NewSessionOptions(); TF_Session* sess = TF_NewSession(graph, opts, s); TF_DeleteSessionOptions(opts);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
WORKSPACE
) load("@pypi//:requirements.bzl", "install_deps") install_deps() # Initialize the TensorFlow repository and all dependencies. # # The cascade of load() statements and tf_workspace?() calls works around the # restriction that load() statements need to be at the top of .bzl files. # E.g. we can not retrieve a new repository with http_archive and then load() # a macro from that repository in the same file.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Apr 05 22:27:48 GMT 2024 - 3K bytes - Viewed (2) -
tensorflow/c/c_api.cc
// -------------------------------------------------------------------------- TF_SessionOptions* TF_NewSessionOptions() { TF_SessionOptions* out = new TF_SessionOptions; // Disable optimizations for static graph to allow calls to Session::Extend. out->options.config.mutable_experimental() ->set_disable_optimize_for_static_graph(true); return out; } void TF_DeleteSessionOptions(TF_SessionOptions* opt) { delete opt; }
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tensorflow/c/eager/c_api_experimental.h
// ops return an error. This call clears the error state and re-enables // execution of newly issued ops. // // Note that outputs of discarded ops remain in a corrupt state and should not // be used for future calls. // TODO(agarwal): mark the affected handles and raise errors if they are used. TF_CAPI_EXPORT extern void TFE_ExecutorClearError(TFE_Executor*); // Sets a custom Executor for the current thread. All nodes created by this
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RELEASE.md
`compression=None` to `tf.data.experimental.service.distribute(...)`. * `tf.data.Dataset.batch()` now supports `num_parallel_calls` and `deterministic` arguments. `num_parallel_calls` is used to indicate that multiple input batches should be computed in parallel. With `num_parallel_calls` set, `deterministic` is used to indicate that outputs can be obtained in the non-deterministic order.
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tensorflow/BUILD
alias( name = "is_cuda_enabled", actual = if_oss( "@local_config_cuda//:is_cuda_enabled", "@local_config_cuda//cuda:using_clang", ), ) # Config setting that is satisfied when CUDA device code should be compiled # with clang. It does not imply that CUDA support has been enabled. alias( name = "is_cuda_compiler_clang",
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tensorflow/c/eager/c_api.cc
// TODO(b/291142876) Simplify TFE_ContextSetServerDefWithTimeoutAndRetries and // TFE_ContextUpdateServerDefWithTimeout to be simple wrappers around the same // C++ function. // Retries are used for CreateContext calls, which is used in // ParameterServerStrategy initialization to be robust to worker preemption. TF_CAPI_EXPORT extern void TFE_ContextSetServerDefWithTimeoutAndRetries(
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tensorflow/c/eager/tape.h
// function and deleted (as the backprop code creates lots of gradients the user // is not interested in). // // BackwardFunction needs to be a closure which stores intermediate activations // from the forward computation and calls a vector-jacobian product function // (also known as adjoint function) to compute, given downstream gradients, // upstream gradients. // // TODO(apassos) provide concrete template instantiations for TFE_TensorHandle
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