本文整理汇总了Python中tensorflow.scatter_mul方法的典型用法代码示例。如果您正苦于以下问题：Python tensorflow.scatter_mul方法的具体用法？Python tensorflow.scatter_mul怎么用？Python tensorflow.scatter_mul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tensorflow的用法示例。
在下文中一共展示了tensorflow.scatter_mul方法的3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: make_update_op
# 需要导入模块: import tensorflow [as 别名]
# 或者: from tensorflow import scatter_mul [as 别名]
def make_update_op(self, upd_idxs, upd_keys, upd_vals,
batch_size, use_recent_idx, intended_output):
"""Function that creates all the update ops."""
base_update_op = super(LSHMemory, self).make_update_op(
upd_idxs, upd_keys, upd_vals,
batch_size, use_recent_idx, intended_output)
# compute hash slots to be updated
hash_slot_idxs = self.get_hash_slots(upd_keys)
# make updates
update_ops = []
with tf.control_dependencies([base_update_op]):
for i, slot_idxs in enumerate(hash_slot_idxs):
# for each slot, choose which entry to replace
entry_idx = tf.random_uniform([batch_size],
maxval=self.num_per_hash_slot,
dtype=tf.int32)
entry_mul = 1 - tf.one_hot(entry_idx, self.num_per_hash_slot,
dtype=tf.int32)
entry_add = (tf.expand_dims(upd_idxs, 1) *
tf.one_hot(entry_idx, self.num_per_hash_slot,
dtype=tf.int32))
mul_op = tf.scatter_mul(self.hash_slots[i], slot_idxs, entry_mul)
with tf.control_dependencies([mul_op]):
add_op = tf.scatter_add(self.hash_slots[i], slot_idxs, entry_add)
update_ops.append(add_op)
return tf.group(*update_ops) 示例2: testVariableRankMul
# 需要导入模块: import tensorflow [as 别名]
# 或者: from tensorflow import scatter_mul [as 别名]
def testVariableRankMul(self):
self._VariableRankTests(tf.scatter_mul) 示例3: testRepeatIndicesMul
# 需要导入模块: import tensorflow [as 别名]
# 或者: from tensorflow import scatter_mul [as 别名]
def testRepeatIndicesMul(self):
self._VariableRankTests(tf.scatter_mul, True)