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CODE_OF_CONDUCT.md
If you are experiencing or witnessing conflict, we ask you to use the following escalation strategy to address the conflict: 1. Address the perceived conflict directly with those involved, preferably in a real-time medium. 2. If this fails, get a third party (e.g. a mutual friend, and/or someone with
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tensorflow/c/eager/c_api.h
// Retrieves TFE_TensorDebugInfo for `handle`. // If TFE_TensorHandleTensorDebugInfo succeeds, `status` is set to OK and caller // is responsible for deleting returned TFE_TensorDebugInfo. // If TFE_TensorHandleTensorDebugInfo fails, `status` is set to appropriate // error and nullptr is returned. This function can block till the operation // that produces `handle` has completed. TF_CAPI_EXPORT extern TFE_TensorDebugInfo* TFE_TensorHandleTensorDebugInfo(
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tensorflow/c/c_api.cc
if (!status->status.ok()) { // Contract is we always delete input_values[i]. return false; } // Note: session->session is not modified if Extend() fails, so // we only set last_num_graph_nodes if it succeeds. session->last_num_graph_nodes = num_nodes; } else { session->graph->mu.unlock(); } } return true; }
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ci/official/utilities/setup.sh
# simple" is MUCH more important than "don't repeat yourself." # -e: abort script if one command fails # -u: error if undefined variable used # -x: log all commands # -o pipefail: entire command fails if pipe fails. watch out for yes | ... # -o history: record shell history # -o allexport: export all functions and variables to be available to subscripts
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// live until `Join` finishes. If `is_async=true` it must live until `Join` is // 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,
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
// `is_async` operations finish. In addition to allowing the caller to cancel // the operation, its `StartCancel` method will be called if op execution // fails on any device in order to cancel the others. void StartExecute(TFE_Context* context, const char* operation_name, std::vector<TFE_TensorHandle*> inputs,
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tensorflow/c/c_api.h
// TF_AttrMetadata.list_size and `storage` would be at least // TF_AttrMetadata.total_size, obtained from TF_OperationGetAttrMetadata(oper, // attr_name). // // Fails if storage_size is too small to hold the requested number of strings. TF_CAPI_EXPORT extern void TF_OperationGetAttrStringList( TF_Operation* oper, const char* attr_name, void** values, size_t* lengths,
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tensorflow/c/eager/c_api_cluster_test.cc
// Create a new tensor_handle. TFE_TensorHandle* h0_task0_new = TestMatrixTensorHandle(ctx); // Check that copying it to the old remote device (named localhost) fails. TFE_TensorHandleCopyToDevice(h0_task0_new, ctx, remote_device_name, status); EXPECT_NE(TF_OK, TF_GetCode(status)) << TF_Message(status); // Copying and executing on the new remote device works.
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.bazelrc
build:release_arm64_linux --copt=-flax-vector-conversions test:release_arm64_linux --flaky_test_attempts=3 # The old gcc linux build options are preserved in the unsupported_*_linux # configs. If your project fails to build with Clang, you can use these # unsupported flags to replace the release flags in your build command. # However, please note that the old toolchain is no longer officially supported
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ci/official/wheel_test/update_requirements.sh
# if there is a change in requirements.in then all lock files will be updated # accordingly. # -e: abort script if one command fails # -u: error if undefined variable used # -o pipefail: entire command fails if pipe fails. watch out for yes | ... # -o history: record shell history set -euo pipefail -o history # Check for required arguments if [ -z "$1" ]; then
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