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"""Logging Operations."""
from tensorflow.python.framework import ops
from tensorflow.python.ops import common_shapes
from tensorflow.python.ops import gen_logging_ops
# pylint: disable=wildcard-import
from tensorflow.python.ops.gen_logging_ops import *
# pylint: enable=wildcard-import
# Assert and Print are special symbols in python, so we must
# use an upper-case version of them.
def Assert(condition, data, summarize=None, name=None):
"""Asserts that the given condition is true.
If `condition` evaluates to false, print the list of tensors in `data`.
`summarize` determines how many entries of the tensors to print.
Args:
condition: The condition to evaluate.
data: The tensors to print out when condition is false.
summarize: Print this many entries of each tensor.
name: A name for this operation (optional).
"""
return gen_logging_ops._assert(condition, data, summarize, name)
def Print(input_, data, message=None, first_n=None, summarize=None,
name=None):
"""Prints a list of tensors.
This is an identity op with the side effect of printing `data` when
evaluating.
Args:
input_: A tensor passed through this op.
data: A list of tensors to print out when op is evaluated.
message: A string, prefix of the error message.
first_n: Only log `first_n` number of times. Negative numbers log always;
this is the default.
summarize: Only print this many entries of each tensor.
name: A name for the operation (optional).
Returns:
Same tensor as `input_`.
"""
return gen_logging_ops._print(input_, data, message, first_n, summarize, name)
@ops.RegisterGradient("Print")
def _PrintGrad(op, *grad):
return list(grad) + [None] * (len(op.inputs) - 1)
# NOTE(mrry): Assert and Print produce an empty output, which is
# presumably never read.
ops.RegisterShape("Assert")(common_shapes.unknown_shape)
ops.RegisterShape("Print")(common_shapes.unknown_shape)
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