tf.raw_ops.FilterDataset
Creates a dataset containing elements of input_dataset matching predicate.
tf.raw_ops.FilterDataset(
    input_dataset, other_arguments, predicate, output_types, output_shapes,
    name=None
)
  The predicate function must return a scalar boolean and accept the following arguments:
- One tensor for each component of an element of 
input_dataset. - One tensor for each value in 
other_arguments. 
| Args | |
|---|---|
 input_dataset  |   A Tensor of type variant.  |  
 other_arguments  |   A list of Tensor objects. A list of tensors, typically values that were captured when building a closure for predicate.  |  
 predicate  |  A function decorated with @Defun. A function returning a scalar boolean. | 
 output_types  |   A list of tf.DTypes that has length >= 1.  |  
 output_shapes  |   A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.  |  
 name  |  A name for the operation (optional). | 
| Returns | |
|---|---|
 A Tensor of type variant.  |  
    © 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
    https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/FilterDataset