本文整理汇总了Python中shapes.transposing_reshape方法的典型用法代码示例。如果您正苦于以下问题：Python shapes.transposing_reshape方法的具体用法？Python shapes.transposing_reshape怎么用？Python shapes.transposing_reshape使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类shapes的用法示例。
在下文中一共展示了shapes.transposing_reshape方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: testTransposingReshape_2_2_3_2_1
# 需要导入模块: import shapes [as 别名]
# 或者: from shapes import transposing_reshape [as 别名]
def testTransposingReshape_2_2_3_2_1(self):
"""Case: dest_a == src, dest_b < src: Split with Least sig part going left.
"""
with self.test_session() as sess:
fake = tf.placeholder(
tf.float32, shape=(None, None, None, 2), name='inputs')
outputs = shapes.transposing_reshape(
fake, src_dim=2, part_a=2, part_b=3, dest_dim_a=2, dest_dim_b=1)
# Make real inputs. The tensor looks like this:
# tensor=[[[[0, 1][2, 3][4, 5][6, 7][8, 9][10, 11]]
# [[12, 13][14, 15][16, 17][18, 19][20, 21][22, 23]]
# [[[24, 25]...
real = np.arange(120).reshape((5, 2, 6, 2))
np_array = sess.run([outputs], feed_dict={fake: real})[0]
self.assertEqual(tuple(np_array.shape), (5, 6, 2, 2))
self.assertAllEqual(np_array[0, :, :, :],
[[[0, 1], [6, 7]], [[12, 13], [18, 19]],
[[2, 3], [8, 9]], [[14, 15], [20, 21]],
[[4, 5], [10, 11]], [[16, 17], [22, 23]]]) 示例2: testTransposingReshape_2_2_3_2_3
# 需要导入模块: import shapes [as 别名]
# 或者: from shapes import transposing_reshape [as 别名]
def testTransposingReshape_2_2_3_2_3(self):
"""Case: dest_a == src, dest_b > src: Split with Least sig part going right.
"""
with self.test_session() as sess:
fake = tf.placeholder(
tf.float32, shape=(None, None, None, 2), name='inputs')
outputs = shapes.transposing_reshape(
fake, src_dim=2, part_a=2, part_b=3, dest_dim_a=2, dest_dim_b=3)
# Make real inputs. The tensor looks like this:
# tensor=[[[[0, 1][2, 3][4, 5][6, 7][8, 9][10, 11]]
# [[12, 13][14, 15][16, 17][18, 19][20, 21][22, 23]]
# [[[24, 25]...
real = np.arange(120).reshape((5, 2, 6, 2))
np_array = sess.run([outputs], feed_dict={fake: real})[0]
self.assertEqual(tuple(np_array.shape), (5, 2, 2, 6))
self.assertAllEqual(
np_array[0, :, :, :],
[[[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]],
[[12, 13, 14, 15, 16, 17], [18, 19, 20, 21, 22, 23]]]) 示例3: testTransposingReshape_2_2_3_1_2
# 需要导入模块: import shapes [as 别名]
# 或者: from shapes import transposing_reshape [as 别名]
def testTransposingReshape_2_2_3_1_2(self):
"""Case: dest_a < src, dest_b == src. Split with Most sig part going left.
"""
with self.test_session() as sess:
fake = tf.placeholder(
tf.float32, shape=(None, None, None, 2), name='inputs')
outputs = shapes.transposing_reshape(
fake, src_dim=2, part_a=2, part_b=3, dest_dim_a=1, dest_dim_b=2)
# Make real inputs. The tensor looks like this:
# tensor=[[[[0, 1][2, 3][4, 5][6, 7][8, 9][10, 11]]
# [[12, 13][14, 15][16, 17][18, 19][20, 21][22, 23]]
# [[[24, 25]...
real = np.arange(120).reshape((5, 2, 6, 2))
np_array = sess.run([outputs], feed_dict={fake: real})[0]
self.assertEqual(tuple(np_array.shape), (5, 4, 3, 2))
self.assertAllEqual(np_array[0, :, :, :],
[[[0, 1], [2, 3], [4, 5]],
[[12, 13], [14, 15], [16, 17]],
[[6, 7], [8, 9], [10, 11]],
[[18, 19], [20, 21], [22, 23]]]) 示例4: testTransposingReshape_2_2_3_3_2
# 需要导入模块: import shapes [as 别名]
# 或者: from shapes import transposing_reshape [as 别名]
def testTransposingReshape_2_2_3_3_2(self):
"""Case: dest_a < src, dest_b == src. Split with Most sig part going right.
"""
with self.test_session() as sess:
fake = tf.placeholder(
tf.float32, shape=(None, None, None, 2), name='inputs')
outputs = shapes.transposing_reshape(
fake, src_dim=2, part_a=2, part_b=3, dest_dim_a=3, dest_dim_b=2)
# Make real inputs. The tensor looks like this:
# tensor=[[[[0, 1][2, 3][4, 5][6, 7][8, 9][10, 11]]
# [[12, 13][14, 15][16, 17][18, 19][20, 21][22, 23]]
# [[[24, 25]...
real = np.arange(120).reshape((5, 2, 6, 2))
np_array = sess.run([outputs], feed_dict={fake: real})[0]
self.assertEqual(tuple(np_array.shape), (5, 2, 3, 4))
self.assertAllEqual(
np_array[0, :, :, :],
[[[0, 1, 6, 7], [2, 3, 8, 9], [4, 5, 10, 11]],
[[12, 13, 18, 19], [14, 15, 20, 21], [16, 17, 22, 23]]])