Login Register

tf.contrib.bayesflow.stochastic_tensor.SampleValue.declare_inputs()

tf.contrib.bayesflow.stochastic_tensor.SampleValue.declare_inputs(unused_stochastic_tensor, unused_inputs_dict)

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.bayesflow.stochastic_tensor.html#SampleValue.declare_inputs

doc_TensorFlow

2016-10-14 12:44:21

Comments

Leave a Comment

Please login to continue.

Popular Articles

tf.contrib.bayesflow.stochastic_tensor.SampleValue class tf.contrib.bayesflow.stochastic_tensor.SampleValue Draw n samples along a new outer dimension. This ValueType draws n samples from StochasticT

tf.contrib.bayesflow.stochastic_tensor.SampleValue.n tf.contrib.bayesflow.stochastic_tensor.SampleValue.n

tf.contrib.bayesflow.stochastic_tensor.SampleValue.__init__() tf.contrib.bayesflow.stochastic_tensor.SampleValue.__init__(n=1, stop_gradient=False) Sample n times and concatenate along a new outer dimension. Ar

tf.contrib.bayesflow.stochastic_tensor.SampleValue.popped_above() tf.contrib.bayesflow.stochastic_tensor.SampleValue.popped_above(unused_value_type)

tf.contrib.bayesflow.stochastic_tensor.SampleValue.stop_gradient tf.contrib.bayesflow.stochastic_tensor.SampleValue.stop_gradient