def test_dense_2d_3d_squeezable(self): x = tf.constant([[1, 2], [3, 4]]) y = tf.constant([[[1], [2]], [[3], [4]]]) _, y_p = losses_utils.remove_squeezable_dimensions(x, y) y_p.shape.assert_is_compatible_with(x.shape) self.assertEqual(y_p.shape.ndims, x.shape.ndims) x_p, _ = losses_utils.remove_squeezable_dimensions(y, x) x_p.shape.assert_is_compatible_with(x.shape)
def test_placeholder(self):
"""Test dynamic rank tensors."""
with tf.Graph().as_default():
x = tf.compat.v1.placeholder_with_default([1., 2., 3.], shape=None)
y = tf.compat.v1.placeholder_with_default([[1.], [2.], [3.]], shape=None)
_, y_p = losses_utils.remove_squeezable_dimensions(x, y)
y_p.shape.assert_is_compatible_with(x.shape)
self.assertAllEqual(tf.shape(x), tf.shape(y_p))
x_p, _ = losses_utils.remove_squeezable_dimensions(y, x)
x_p.shape.assert_is_compatible_with(x.shape)
def test_ragged_3d_4d_squeezable(self):
""" shapes:
x: (2, (sequence={1, 2}), 3)
y: (2, (sequence={1, 2}), 3, 1)
"""
x = tf.ragged.constant([[[1, 2, 3]], [[4, 5, 6], [7, 8, 9]]])
y = tf.expand_dims(x, axis=-1)
self.assertEqual(x.shape.ndims, 3)
self.assertEqual(y.shape.ndims, 4)
_, y_p = losses_utils.remove_squeezable_dimensions(x, y)
y_p.shape.assert_is_compatible_with(x.shape)
self.assertEqual(y_p.shape.ndims, 3)
x_p, _ = losses_utils.remove_squeezable_dimensions(y, x)
x_p.shape.assert_is_compatible_with(x.shape)
self.assertEqual(x_p.shape.ndims, 3)
def test_ragged_3d_same_shape(self):
""" shape (2, (sequence={1, 2}), 3)"""
x = tf.ragged.constant([[[1, 2, 3]], [[4, 5, 6], [7, 8, 9]]])
rank = x.shape.ndims
x_p, _ = losses_utils.remove_squeezable_dimensions(x, x)
self.assertEqual(x_p.shape.ndims, rank)
