Login Register

tf.contrib.distributions.ExponentialWithSoftplusLam.get_batch_shape()

tf.contrib.distributions.ExponentialWithSoftplusLam.get_batch_shape()

Shape of a single sample from a single event index as a TensorShape.

Same meaning as batch_shape. May be only partially defined.

Returns:

batch_shape: TensorShape, possibly unknown.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.distributions.html#ExponentialWithSoftplusLam.get_batch_shape

doc_TensorFlow

2016-10-14 12:52:42

Comments

Leave a Comment

Please login to continue.

Popular Articles

tf.contrib.distributions.ExponentialWithSoftplusLam.get_event_shape() tf.contrib.distributions.ExponentialWithSoftplusLam.get_event_shape() Shape of a single sample from a single batch as a TensorShape. Same meaning as

tf.contrib.distributions.ExponentialWithSoftplusLam.batch_shape() tf.contrib.distributions.ExponentialWithSoftplusLam.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tens

tf.contrib.distributions.Distribution.get_batch_shape() tf.contrib.distributions.Distribution.get_batch_shape() Shape of a single sample from a single event index as a TensorShape. Same meaning as batch_s

tf.contrib.distributions.Mixture.get_batch_shape() tf.contrib.distributions.Mixture.get_batch_shape() Shape of a single sample from a single event index as a TensorShape. Same meaning as batch_shape.

tf.contrib.distributions.Exponential.get_batch_shape() tf.contrib.distributions.Exponential.get_batch_shape() Shape of a single sample from a single event index as a TensorShape. Same meaning as batch_sh