141 lines
5.1 KiB
Python
141 lines
5.1 KiB
Python
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# Copyright 2017 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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"""TensorFlow Eager execution prototype.
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EXPERIMENTAL: APIs here are unstable and likely to change without notice.
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To use, at program startup, call `tfe.enable_eager_execution()`.
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@@metrics
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@@list_devices
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@@num_gpus
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@@py_func
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@@defun
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@@make_template
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@@implicit_gradients
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@@implicit_value_and_gradients
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@@gradients_function
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@@value_and_gradients_function
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@@GradientTape
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@@run
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@@enable_eager_execution
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@@custom_gradient
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@@add_execution_callback
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@@clear_execution_callbacks
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@@inf_callback
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@@inf_nan_callback
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@@nan_callback
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@@seterr
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@@Iterator
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@@Saver
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@@restore_variables_on_create
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@@Variable
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@@get_optimizer_variables
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@@EagerVariableStore
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@@Network
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@@Sequential
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@@save_network_checkpoint
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@@restore_network_checkpoint
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@@Checkpoint
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@@Checkpointable
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@@CheckpointableSaver
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@@executing_eagerly
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@@in_eager_mode
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@@set_execution_mode
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@@execution_mode
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@@async_wait
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@@async_clear_error
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@@run_test_in_graph_and_eager_modes
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@@run_all_tests_in_graph_and_eager_modes
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@@DEVICE_PLACEMENT_EXPLICIT
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@@DEVICE_PLACEMENT_WARN
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@@DEVICE_PLACEMENT_SILENT
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@@SYNC
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@@ASYNC
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"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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# pylint:disable=g-bad-import-order,g-import-not-at-top,unused-import
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#
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from tensorflow.contrib.eager.python import metrics
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from tensorflow.contrib.eager.python.datasets import Iterator
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from tensorflow.contrib.eager.python.network import Network
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from tensorflow.contrib.eager.python.network import Sequential
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from tensorflow.contrib.eager.python.network import save_network_checkpoint
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from tensorflow.contrib.eager.python.network import restore_network_checkpoint
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from tensorflow.contrib.eager.python.saver import get_optimizer_variables
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from tensorflow.contrib.eager.python.saver import restore_variables_on_create
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from tensorflow.contrib.eager.python.saver import Saver
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from tensorflow.python.eager import backprop
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from tensorflow.python.eager import function
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from tensorflow.python.eager.context import DEVICE_PLACEMENT_EXPLICIT
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from tensorflow.python.eager.context import DEVICE_PLACEMENT_WARN
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from tensorflow.python.eager.context import DEVICE_PLACEMENT_SILENT
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from tensorflow.python.eager.context import executing_eagerly
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from tensorflow.python.eager.context import list_devices
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from tensorflow.python.eager.context import set_execution_mode
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from tensorflow.python.eager.context import execution_mode
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from tensorflow.python.eager.context import async_wait
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from tensorflow.python.eager.context import async_clear_error
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from tensorflow.python.eager.context import SYNC
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from tensorflow.python.eager.context import ASYNC
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from tensorflow.python.eager.context import num_gpus
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from tensorflow.python.eager.execution_callbacks import add_execution_callback
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from tensorflow.python.eager.execution_callbacks import clear_execution_callbacks
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from tensorflow.python.eager.execution_callbacks import inf_callback
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from tensorflow.python.eager.execution_callbacks import inf_nan_callback
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from tensorflow.python.eager.execution_callbacks import nan_callback
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from tensorflow.python.eager.execution_callbacks import seterr
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from tensorflow.python.framework.ops import enable_eager_execution
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from tensorflow.python.framework.ops import eager_run as run
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from tensorflow.python.framework.test_util import run_in_graph_and_eager_modes as run_test_in_graph_and_eager_modes
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from tensorflow.python.framework.test_util import run_all_in_graph_and_eager_modes as run_all_tests_in_graph_and_eager_modes
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from tensorflow.python.ops.custom_gradient import custom_gradient
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from tensorflow.python.ops.resource_variable_ops import ResourceVariable as Variable
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from tensorflow.python.ops.variable_scope import EagerVariableStore
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from tensorflow.python.ops import script_ops
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from tensorflow.python.ops import template
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from tensorflow.python.training.checkpointable.tracking import Checkpointable
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from tensorflow.python.training.checkpointable.util import CheckpointableSaver
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from tensorflow.python.training.checkpointable.util import Checkpoint
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from tensorflow.python.util.all_util import remove_undocumented
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py_func = script_ops.eager_py_func
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defun = function.defun
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make_template = template.make_template_internal
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implicit_gradients = backprop.implicit_grad
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implicit_value_and_gradients = backprop.implicit_val_and_grad
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gradients_function = backprop.gradients_function
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value_and_gradients_function = backprop.val_and_grad_function
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GradientTape = backprop.GradientTape # pylint: disable=invalid-name
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in_eager_mode = executing_eagerly
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remove_undocumented(__name__)
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