def net_func():
x = layers.fill_constant(shape=[2, 3], dtype='float32', value=2.0)
condition = layers.reduce_max(x) < 1.0
layers.Assert(condition, [x], 10, name="test")
def net_func():
x = layers.fill_constant(shape=[10], dtype='float32', value=2.0)
condition = layers.reduce_max(x) < 1.0
layers.Assert(condition, (x, ), 5)
def net_func():
condition = layers.fill_constant(shape=[1, 2],
dtype='bool',
value=True)
layers.Assert(condition, [])
def net_func():
zero = layers.fill_constant(shape=[1], dtype='int64', value=0)
one = layers.fill_constant(shape=[1], dtype='int64', value=1)
condition = layers.less_than(one, zero) # False
layers.Assert(condition, [zero, one])
def net_func():
condition = layers.fill_constant(shape=[1],
dtype='bool',
value=False)
layers.Assert(condition)