本文整理匯總了Python中tensorflow.python.ops.gen_array_ops._concat_offset方法的典型用法代碼示例。如果您正苦於以下問題：Python gen_array_ops._concat_offset方法的具體用法？Python gen_array_ops._concat_offset怎麽用？Python gen_array_ops._concat_offset使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tensorflow.python.ops.gen_array_ops的用法示例。
在下文中一共展示了gen_array_ops._concat_offset方法的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: testBasic
# 需要導入模塊: from tensorflow.python.ops import gen_array_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_array_ops import _concat_offset [as 別名]
def testBasic(self):
for use_gpu in [False, True]:
with self.test_session(use_gpu=use_gpu) as sess:
cdim = tf.constant(1, tf.int32)
s0 = tf.constant([2, 3, 5], tf.int32)
s1 = tf.constant([2, 7, 5], tf.int32)
s2 = tf.constant([2, 20, 5], tf.int32)
off = gen_array_ops._concat_offset(cdim, [s0, s1, s2])
ans = sess.run(off)
self.assertAllEqual(ans, [[0, 0, 0], [0, 3, 0], [0, 10, 0]]) 示例2: testNotVector
# 需要導入模塊: from tensorflow.python.ops import gen_array_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_array_ops import _concat_offset [as 別名]
def testNotVector(self):
with self.test_session() as sess:
cdim = tf.constant(1, tf.int32)
s0 = tf.constant([[2, 3, 5]], tf.int32)
s1 = tf.constant([[2, 7, 5]], tf.int32)
off = gen_array_ops._concat_offset(cdim, [s0, s1])
with self.assertRaisesRegexp(tf.errors.InvalidArgumentError,
r"should be a vector"):
sess.run(off) 示例3: testConcatDimOutOfRange
# 需要導入模塊: from tensorflow.python.ops import gen_array_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_array_ops import _concat_offset [as 別名]
def testConcatDimOutOfRange(self):
with self.test_session() as sess:
cdim = tf.constant(4, tf.int32)
s0 = tf.constant([2, 3, 5], tf.int32)
s1 = tf.constant([2, 7, 5], tf.int32)
off = gen_array_ops._concat_offset(cdim, [s0, s1])
with self.assertRaisesRegexp(tf.errors.InvalidArgumentError,
r"Concat dim is out of range: 4 vs. 3"):
sess.run(off) 示例4: testDimMismatch
# 需要導入模塊: from tensorflow.python.ops import gen_array_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_array_ops import _concat_offset [as 別名]
def testDimMismatch(self):
with self.test_session() as sess:
cdim = tf.constant(1, tf.int32)
s0 = tf.constant([2, 3, 5], tf.int32)
s1 = tf.constant([2, 7, 5, 10], tf.int32)
off = gen_array_ops._concat_offset(cdim, [s0, s1])
with self.assertRaisesRegexp(tf.errors.InvalidArgumentError,
r"should contain 3 elem"):
sess.run(off) 示例5: testSizeMismatch
# 需要導入模塊: from tensorflow.python.ops import gen_array_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_array_ops import _concat_offset [as 別名]
def testSizeMismatch(self):
with self.test_session() as sess:
cdim = tf.constant(1, tf.int32)
s0 = tf.constant([2, 3, 5], tf.int32)
s1 = tf.constant([2, 7, 10], tf.int32)
off = gen_array_ops._concat_offset(cdim, [s0, s1])
with self.assertRaisesRegexp(
tf.errors.InvalidArgumentError,
r"All dimensions except 1 must match. Input 1 has shape \[2 7 10\] "
r"and doesn't match input 0 with shape \[2 3 5\]."):
sess.run(off)