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"""Operations for implementing attention.
"""
import tensorflow.python.platform
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_shape
from tensorflow.python.framework import tensor_util
from tensorflow.python.ops import gen_attention_ops
# pylint: disable=wildcard-import
from tensorflow.python.ops.gen_attention_ops import *
# TODO(bsteiner): Implement the gradient function for extract_glimpse
ops.NoGradient("ExtractGlimpse")
@ops.RegisterShape("ExtractGlimpse")
def _ExtractGlimpseShape(op):
"""Shape function for ExtractGlimpse op."""
input_shape = op.inputs[0].get_shape().with_rank(4)
unused_size_shape = op.inputs[1].get_shape().merge_with(
tensor_shape.vector(2))
offsets_shape = op.inputs[2].get_shape().merge_with(
input_shape[:1].concatenate([2]))
offsets_shape = offsets_shape
size_value = tensor_util.ConstantValue(op.inputs[1])
if size_value is not None:
height = size_value[0]
width = size_value[1]
else:
height = None
width = None
return [tensor_shape.TensorShape(
[input_shape[0], height, width, input_shape[3]])]
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