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tensorflow/c/eager/c_api.h
// The number of dimensions used to represent the tensor on device can be // different from the number returned by TFE_TensorHandleNumDims. // The return value was current at the time of TFE_TensorDebugInfo creation. TF_CAPI_EXPORT extern int TFE_TensorDebugInfoOnDeviceNumDims( TFE_TensorDebugInfo* debug_info); // Returns the number of elements in dimension `dim_index`.
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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 {
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tensorflow/c/c_api_function.cc
control_output_nodes.reserve(ncontrol_outputs); for (int i = 0; i < ncontrol_outputs; ++i) { control_output_nodes.push_back(&control_outputs[i]->node); } // Do the actual function creation. DCHECK(append_hash_to_fn_name <= 1); tensorflow::FunctionDef fdef; status->status = tensorflow::GraphToFunctionDef( fn_body->graph, fn_name, append_hash_to_fn_name != 0,
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// followed by `TFE_ContextAsyncWait` to clear pending operations. It will be // used to cancel all other operations if any fails. // // Set step_id to configure the step id used for rendezvous creation. step id // of value -1 is reserved for global rendezvous and should not be set here. void StartExecute(TFE_Context* context, const std::vector<ParallelTensor*>& inputs,
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tensorflow/c/c_api.h
// * size_t is used to represent byte sizes of objects that are // materialized in the address space of the calling process. // * int is used as an index into arrays. // * Deletion functions are safe to call on nullptr. // // Questions left to address: // * Might at some point need a way for callers to provide their own Env. // * Maybe add TF_TensorShape that encapsulates dimension info. //
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ci/official/bisect.sh
# TF_BISECT_BAD: First bad commit (e.g. commit from the first failing job) # TF_BISECT_SCRIPT: The build script path relative to the TF root dir, e.g. # ci/official/wheel.sh # TFCI: The env config path, relative to the TF root dir, e.g. # ci/official/envs/an_env_config # # Note that you can combine bisect.sh with any.sh to bisect a single test: # # export TFCI=...
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ci/official/wheel_test/README.md
importing "tf.foo" followed by "tf.bar" won't reveal that "tf.bar" depends on "tf.foo" being imported first. The `_api/v2/api_packages.txt` file is generated during the TensorFlow API v2 init files creation process and is subsequently stored in the wheel file after the build. It also contains a few paths that cannot be directly imported. These paths point to attributes or sub-modules within a module's namespace, but they
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
if (!s.ok()) { GTEST_SKIP() << "Cannot create working directory: " << s; } } // Converts path reference to URI reference. // // If URI scheme is empty, URI reference is `path` relative to current test // root directory. Otherwise, we need to add the `<scheme>://` in front of // this path. // // Note that some filesystem might require a different approach here, for
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tensorflow/c/c_api_experimental.cc
// scheduled on that same threadpool, causing a deadlock in cases where the // caller of event_mgr->ThenExecute() blocks on the completion of the callback // (as in the case of ConstOp kernel creation on GPU, which involves copying a // CPU tensor to GPU). // Setting a larger thread pool does not help with the Swift caller, as we use // a different TFE context for each thread of execution (for running graph
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.bazelrc
# BEGIN TF REMOTE BUILD EXECUTION OPTIONS # Options when using remote execution # WARNING: THESE OPTIONS WONT WORK IF YOU DO NOT HAVE PROPER AUTHENTICATION AND PERMISSIONS # Allow creation of resultstore URLs for any bazel invocation build:resultstore --google_default_credentials build:resultstore --bes_backend=buildeventservice.googleapis.com build:resultstore --bes_instance_name="tensorflow-testing"
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