tf.contrib.graph_editor.make_list_of_op()

tf.contrib.graph_editor.make_list_of_op(ops, check_graph=True, allow_graph=True, ignore_ts=False) Convert ops to a list of tf

2016-10-14 13:05:02
tf.contrib.graph_editor.transform_op_if_inside_handler()

tf.contrib.graph_editor.transform_op_if_inside_handler(info, op, keep_if_possible=True) Transform an optional op only if it is

2016-10-14 13:05:19
tf.contrib.graph_editor.check_cios()

tf.contrib.graph_editor.check_cios(control_inputs=False, control_outputs=None, control_ios=None) Do various check on control_inputs

2016-10-14 13:04:51
tf.contrib.graph_editor.compute_boundary_ts()

tf.contrib.graph_editor.compute_boundary_ts(ops, ambiguous_ts_are_outputs=True) Compute the tensors at the boundary of a set of

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tf.contrib.graph_editor.SubGraphView.

tf.contrib.graph_editor.SubGraphView.__nonzero__() Allows for implicit boolean conversion.

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tf.contrib.graph_editor.filter_ops_from_regex()

tf.contrib.graph_editor.filter_ops_from_regex(ops, regex) Get all the operations that match the given regex.

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tf.contrib.graph_editor.Transformer.

tf.contrib.graph_editor.Transformer.__call__(sgv, dst_graph, dst_scope, src_scope='', reuse_dst_scope=False) Execute the transformation

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tf.contrib.graph_editor.SubGraphView.

tf.contrib.graph_editor.SubGraphView.__init__(inside_ops=(), passthrough_ts=()) Create a subgraph containing the given ops and

2016-10-14 13:05:17
tf.contrib.graph_editor.SubGraphView.inputs

tf.contrib.graph_editor.SubGraphView.inputs The input tensors of this subgraph view.

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tf.contrib.graph_editor.placeholder_name()

tf.contrib.graph_editor.placeholder_name(t=None, scope=None) Create placeholder name for tjhe graph editor.

2016-10-14 13:05:06