wehub-resource-sync
225 lines
8.6 KiB
Python
225 lines
8.6 KiB
Python
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Imports modules that should be scanned during API generation.
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This file should eventually contain everything we need to scan looking for
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tf_export decorators.
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"""
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# go/tf-wildcard-import
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# pylint: disable=wildcard-import,g-bad-import-order,g-import-not-at-top
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# pylint: disable=unused-import,g-importing-member
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# Protocol buffers
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from tensorflow.core.framework.graph_pb2 import *
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from tensorflow.core.framework.node_def_pb2 import *
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from tensorflow.core.framework.summary_pb2 import *
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from tensorflow.core.framework.attr_value_pb2 import *
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from tensorflow.core.protobuf.meta_graph_pb2 import TensorInfo
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from tensorflow.core.protobuf.meta_graph_pb2 import MetaGraphDef
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from tensorflow.core.protobuf.config_pb2 import *
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from tensorflow.core.util.event_pb2 import *
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# Checkpoint Sharding
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from tensorflow.python.checkpoint.sharding import sharding_util
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from tensorflow.python.checkpoint.sharding import sharding_policies
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# Compat
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from tensorflow.python.compat import v2_compat
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# Compiler
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from tensorflow.python.compiler.xla import jit
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from tensorflow.python.compiler.xla import xla
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from tensorflow.python.compiler.mlir import mlir
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# Data
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from tensorflow.python import data
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# Distributions
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from tensorflow.python.ops import distributions
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# TensorFlow Debugger (tfdbg).
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from tensorflow.python.debug.lib import check_numerics_callback
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from tensorflow.python.debug.lib import dumping_callback
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from tensorflow.python.ops import gen_debug_ops
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# Distribute
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from tensorflow.python import distribute
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# DLPack
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from tensorflow.python.dlpack.dlpack import from_dlpack
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from tensorflow.python.dlpack.dlpack import to_dlpack
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# Eager
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from tensorflow.python.eager import context
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from tensorflow.python.eager import def_function
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from tensorflow.python.eager import monitoring as _monitoring
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from tensorflow.python.eager import remote
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# Check whether TF2_BEHAVIOR is turned on.
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from tensorflow.python import tf2 as _tf2
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_tf2_gauge = _monitoring.BoolGauge(
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'/tensorflow/api/tf2_enable', 'Environment variable TF2_BEHAVIOR is set".')
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_tf2_gauge.get_cell().set(_tf2.enabled())
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# Feature Column
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from tensorflow.python.feature_column import feature_column_lib as feature_column
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# Framework
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from tensorflow.python.framework.framework_lib import * # pylint: disable=redefined-builtin
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from tensorflow.python.framework.versions import *
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from tensorflow.python.framework import config
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from tensorflow.python.framework import errors
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from tensorflow.python.framework import extension_type
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from tensorflow.python.framework import graph_util
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from tensorflow.python.framework import ops
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# Function
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from tensorflow.core.function.trace_type import *
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# IO
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from tensorflow.python.lib.io import python_io
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# Module
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from tensorflow.python.module import module
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# Ops
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from tensorflow.python.ops.random_crop_ops import *
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from tensorflow.python.ops import bincount_ops
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from tensorflow.python.ops import bitwise_ops as bitwise
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from tensorflow.python.ops import composite_tensor_ops
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from tensorflow.python.ops import cond_v2
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from tensorflow.python.ops import gen_audio_ops
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from tensorflow.python.ops import gen_boosted_trees_ops
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from tensorflow.python.ops import gen_clustering_ops
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from tensorflow.python.ops import gen_cudnn_rnn_ops
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from tensorflow.python.ops import gen_filesystem_ops
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from tensorflow.python.ops import gen_map_ops
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from tensorflow.python.ops import gen_rnn_ops
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from tensorflow.python.ops import gen_sendrecv_ops
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from tensorflow.python.ops import gen_tpu_ops
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from tensorflow.python.ops import gen_uniform_quant_ops
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from tensorflow.python.ops import gradient_checker_v2
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from tensorflow.python.ops import image_ops as image
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from tensorflow.python.ops import initializers_ns as initializers
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from tensorflow.python.ops import manip_ops as manip
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from tensorflow.python.ops import metrics
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from tensorflow.python.ops import nn
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from tensorflow.python.ops import ragged
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from tensorflow.python.ops import rnn
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from tensorflow.python.ops import rnn_cell
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from tensorflow.python.ops import sets
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from tensorflow.python.ops import stateful_random_ops
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from tensorflow.python.ops import tensor_getitem_override
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from tensorflow.python.ops import while_v2
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from tensorflow.python.ops.linalg import linalg
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from tensorflow.python.ops.linalg.sparse import sparse
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from tensorflow.python.ops.losses import losses
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from tensorflow.python.ops.numpy_ops import np_random
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from tensorflow.python.ops.numpy_ops import np_utils
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from tensorflow.python.ops.numpy_ops import np_array_ops
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from tensorflow.python.ops.numpy_ops import np_arrays
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from tensorflow.python.ops.numpy_ops import np_config
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from tensorflow.python.ops.numpy_ops import np_dtypes
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from tensorflow.python.ops.numpy_ops import np_math_ops
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from tensorflow.python.ops.ragged import ragged_ops
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from tensorflow.python.ops.signal import signal
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from tensorflow.python.ops.structured import structured_ops as _structured_ops
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# Platform
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from tensorflow.python.platform import app
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from tensorflow.python.platform import flags
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from tensorflow.python.platform import gfile
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from tensorflow.python.platform import tf_logging as logging
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from tensorflow.python.platform import resource_loader
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from tensorflow.python.platform import sysconfig as sysconfig_lib
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from tensorflow.python.platform import test
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# Pywrap TF
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from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow
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# Update the RaggedTensor package docs w/ a list of ops that support dispatch.
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ragged.__doc__ += ragged_ops.ragged_dispatch.ragged_op_list()
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# Required due to `rnn` and `rnn_cell` not being imported in `nn` directly
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# (due to a circular dependency issue: rnn depends on layers).
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nn.dynamic_rnn = rnn.dynamic_rnn
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nn.static_rnn = rnn.static_rnn
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nn.raw_rnn = rnn.raw_rnn
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nn.bidirectional_dynamic_rnn = rnn.bidirectional_dynamic_rnn
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nn.static_state_saving_rnn = rnn.static_state_saving_rnn
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nn.rnn_cell = rnn_cell
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# Profiler
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from tensorflow.python.profiler import profiler
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from tensorflow.python.profiler import profiler_client
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from tensorflow.python.profiler import profiler_v2
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from tensorflow.python.profiler import trace
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# Saved Model
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from tensorflow.python.saved_model import saved_model
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# Session
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from tensorflow.python.client.client_lib import *
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# Summary
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from tensorflow.python.summary import summary
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from tensorflow.python.summary import tb_summary
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# TPU
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from tensorflow.python.tpu import api
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# Training
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from tensorflow.python.training import training as train
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from tensorflow.python.training import quantize_training as _quantize_training
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# User Ops
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from tensorflow.python.user_ops import user_ops
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# Util
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from tensorflow.python.util import compat
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from tensorflow.python.util import all_util
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from tensorflow.python.util.tf_export import tf_export
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# _internal APIs
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from tensorflow.python.distribute.combinations import generate
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from tensorflow.python.distribute.experimental.rpc.rpc_ops import *
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from tensorflow.python.distribute.merge_call_interim import *
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from tensorflow.python.distribute.multi_process_runner import *
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from tensorflow.python.distribute.multi_worker_test_base import *
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from tensorflow.python.distribute.sharded_variable import *
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from tensorflow.python.distribute.strategy_combinations import *
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from tensorflow.python.framework.combinations import *
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from tensorflow.python.framework.composite_tensor import *
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from tensorflow.python.framework.test_combinations import *
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from tensorflow.python.util.tf_decorator import make_decorator
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from tensorflow.python.util.tf_decorator import unwrap
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from tensorflow.python.distribute.parameter_server_strategy_v2 import *
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from tensorflow.python.distribute.coordinator.cluster_coordinator import *
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from tensorflow.python.distribute.failure_handling.failure_handling import *
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from tensorflow.python.distribute.failure_handling.preemption_watcher import *
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from tensorflow.python.util import tf_decorator_export
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from tensorflow.python import proto_exports
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# Update dispatch decorator docstrings to contain lists of registered APIs.
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# (This should come after any imports that register APIs.)
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from tensorflow.python.util import dispatch
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dispatch.update_docstrings_with_api_lists()
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# Export protos
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# pylint: disable=undefined-variable
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# pylint: enable=undefined-variable
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