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ci/official/README.md
# and scripts on Linux create a persistent container called "tf" # which mounts your TensorFlow directory into the container. # # Important: because the container is persistent, you cannot change TFCI # variables in between script executions. To forcibly remove the # container and start fresh, run "docker rm -f tf". Removing the container # destroys some temporary bazel data and causes longer builds. #
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tensorflow/c/eager/immediate_execution_operation.h
ImmediateExecutionTensorHandle* input) = 0; virtual ImmediateExecutionContext* GetContext() const = 0; // Following two methods are used to support custom device. // Return true if the inputs contain custom device tensor handle. It means // that the argument need to be handled by a custom device. virtual bool HasCustomDeviceInput() const = 0; virtual const tensorflow::OpDef* OpDef() const = 0;
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tensorflow/c/eager/c_api_unified_experimental.h
// type of eager and graph tensors. It is also the result of executing an // operation. typedef struct TF_AbstractTensor TF_AbstractTensor; // A TF_AbstractOp is the metadata we need to execute an operation. E.g. this // could contain the op type and other attributes. typedef struct TF_AbstractOp TF_AbstractOp; // Stores a function representation that can be used for execution or for // setting functional attributes of other composite ops e.g. control flow.
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tensorflow/c/experimental/next_pluggable_device/c_api.h
TF_CAPI_EXPORT extern PJRT_Client* TF_GetPjRtCClient(const char* device_type, TF_Status* status); // Gets the `PJRT_Buffer*` stored in the tensor. The status will contain error // if the tensor does not have a `PjRtCApiBuffer`. TF_CAPI_EXPORT extern PJRT_Buffer* TF_GetPjRtCBuffer(TF_Tensor* c_tensor, TF_Status* status);
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ci/official/utilities/code_check_full.bats
# targets matching the provided query, which start with // or @ but not # //tensorflow (so it looks for //third_party, //external, etc.), and then # gathers the list of all packages (i.e. directories) which contain those # targets. license_query() { bazel cquery --experimental_cc_shared_library "$1" --keep_going \ | grep -e "^//" -e "^@" \ | grep -E -v "^//tensorflow" \ | sed -e 's|:.*||' \ | sort -u }
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tensorflow/c/c_api_internal.h
TF_GUARDED_BY(mu); bool delete_requested TF_GUARDED_BY(mu); // set true by TF_DeleteGraph // Used to link graphs contained in TF_WhileParams to the parent graph that // will eventually contain the full while loop. TF_Graph* parent; TF_Output* parent_inputs; }; struct TF_OperationDescription { TF_OperationDescription(TF_Graph* g, const char* op_type,
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configure.py
"""Reset file that contains customized config settings.""" open(_TF_BAZELRC, 'w').close() def cleanup_makefile(): """Delete any leftover BUILD files from the Makefile build. These files could interfere with Bazel parsing. """ makefile_download_dir = os.path.join(_TF_WORKSPACE_ROOT, 'tensorflow', 'contrib', 'makefile', 'downloads')
Python - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// which is passed to the functions referenced in the TFE_CustomDevice struct // `device` (execute, delete_device, etc.). It can for example contain the // names of wrapped devices. // // There are currently no graph semantics implemented for registered custom // devices, so executing tf.functions which contain operations placed on the // custom devices will fail. // // `device_name` must not name an existing physical or custom device. It must
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
TF_SetStatus(status, TF_INVALID_ARGUMENT, "GCS path doesn't contain a bucket name."); return; } *bucket = fname.substr(scheme_end + 1, bucket_end - scheme_end - 1); *object = fname.substr(bucket_end + 1); if (object->empty() && !object_empty_ok) { TF_SetStatus(status, TF_INVALID_ARGUMENT, "GCS path doesn't contain an object name."); } }
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tensorflow/c/eager/abstract_context.h
// 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 { protected: enum AbstractContextKind { kGraph, kMlir, kEager, kTfrt, kTape, kOpHandler };
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