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tensorflow/c/eager/immediate_execution_distributed_manager.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_DISTRIBUTED_MANAGER_H_ #define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_DISTRIBUTED_MANAGER_H_ #include <cstdint> #include <string> #include "tensorflow/core/platform/status.h" namespace tsl { class CoordinationServiceAgent; }
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 2.9K bytes - Viewed (0) -
RELEASE.md
* Unified eager and `tf.function` execution: * Eager mode can now execute each op as a `tf.function`, allowing for more consistent feature support in future releases. * It is available for immediate use. * See the `TF_RUN_EAGER_OP_AS_FUNCTION` environment variable in
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
.bazelrc
# TODO(mihaimaruseac): Document this option or remove if no longer needed build --enable_platform_specific_config # Enable XLA support by default. build --define=with_xla_support=true # TODO(mihaimaruseac): Document this option or remove if no longer needed build --config=short_logs # TODO(mihaimaruseac): Document this option or remove if no longer needed build --config=v2 # Disable AWS/HDFS support by default
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tensorflow/c/c_api_experimental.cc
#include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_internal.h" #include "tensorflow/c/eager/tfe_context_internal.h" #include "tensorflow/c/eager/tfe_op_internal.h" #include "tensorflow/c/eager/tfe_tensorhandle_internal.h" #include "tensorflow/c/tf_buffer_internal.h" #include "tensorflow/compiler/jit/flags.h" #include "tensorflow/core/common_runtime/eager/attr_builder.h"
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configure.py
# gcc on ppc64le does not support -march, use mcpu instead default_cc_opt_flags = '-mcpu=native' elif is_windows(): default_cc_opt_flags = '/arch:AVX' else: # On all other platforms, no longer use `-march=native` as this can result # in instructions that are too modern being generated. Users that want # maximum performance should compile TF in their environment and can pass # `-march=native` there.
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
==============================================================================*/ #include "tensorflow/c/eager/parallel_device/parallel_device_lib.h" #include <string> #include <utility> #include "tensorflow/c/eager/c_api_experimental.h" #include "tensorflow/c/eager/tfe_cancellation_manager_internal.h" #include "tensorflow/c/eager/tfe_tensorhandle_internal.h" #include "tensorflow/c/tf_status.h" #include "tensorflow/c/tf_status_internal.h"
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