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Compute the tensors at the boundary of a set of ops.
tf.contrib.graph_editor.compute_boundary_ts(
ops
)
This function looks at all the tensors connected to the given ops (in/out) and classify them into three categories:
1) input tensors: tensors whose generating operation is not in ops. 2) output tensors: tensors whose consumer operations are not in ops 3) inside tensors: tensors which are neither input nor output tensors.
Note that a tensor can be both an inside tensor and an output tensor if it is
consumed by operations both outside and inside of ops.
Args | |
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ops
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an object convertible to a list of tf.Operation. |
Returns | |
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A tuple (outside_input_ts, outside_output_ts, inside_ts) where:
outside_input_ts is a Python list of input tensors;
outside_output_ts is a python list of output tensors;
inside_ts is a python list of inside tensors.
Since a tensor can be both an inside tensor and an output tensor,
outside_output_ts and inside_ts might intersect.
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Raises | |
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TypeError
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if ops cannot be converted to a list of tf.Operation. |