本文整理匯總了Python中object_detection.utils.ops.reduce_sum_trailing_dimensions方法的典型用法代碼示例。如果您正苦於以下問題：Python ops.reduce_sum_trailing_dimensions方法的具體用法？Python ops.reduce_sum_trailing_dimensions怎麽用？Python ops.reduce_sum_trailing_dimensions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object_detection.utils.ops的用法示例。
在下文中一共展示了ops.reduce_sum_trailing_dimensions方法的3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: test_reduce_sum_trailing_dimensions
# 需要導入模塊: from object_detection.utils import ops [as 別名]
# 或者: from object_detection.utils.ops import reduce_sum_trailing_dimensions [as 別名]
def test_reduce_sum_trailing_dimensions(self):
input_tensor = tf.placeholder(tf.float32, shape=[None, None, None])
reduced_tensor = ops.reduce_sum_trailing_dimensions(input_tensor, ndims=2)
with self.test_session() as sess:
reduced_np = sess.run(reduced_tensor,
feed_dict={input_tensor: np.ones((2, 2, 2),
np.float32)})
self.assertAllClose(reduced_np, 2 * np.ones((2, 2), np.float32)) 示例2: test_reduce_sum_trailing_dimensions
# 需要導入模塊: from object_detection.utils import ops [as 別名]
# 或者: from object_detection.utils.ops import reduce_sum_trailing_dimensions [as 別名]
def test_reduce_sum_trailing_dimensions(self):
input_tensor = tf.placeholder(tf.float32, shape=[None, None, None])
reduced_tensor = ops.reduce_sum_trailing_dimensions(input_tensor, ndims=2)
with self.test_session() as sess:
reduced_np = sess.run(reduced_tensor,
feed_dict={input_tensor: np.ones((2, 2, 2),
np.float32)})
self.assertAllClose(reduced_np, 2 * np.ones((2, 2), np.float32)) 示例3: test_reduce_sum_trailing_dimensions
# 需要導入模塊: from object_detection.utils import ops [as 別名]
# 或者: from object_detection.utils.ops import reduce_sum_trailing_dimensions [as 別名]
def test_reduce_sum_trailing_dimensions(self):
def graph_fn(input_tensor):
reduced_tensor = ops.reduce_sum_trailing_dimensions(input_tensor, ndims=2)
return reduced_tensor
reduced_np = self.execute(graph_fn, [np.ones((2, 2, 2), np.float32)])
self.assertAllClose(reduced_np, 2 * np.ones((2, 2), np.float32))