Creates a dataset that skips count elements from the input_dataset.
tf.raw_ops.SkipDataset(
input_dataset,
count,
output_types,
output_shapes,
metadata='',
name=None
)
Args |
|---|
input_dataset
|
A Tensor of type variant.
|
count
|
A Tensor of type int64.
A scalar representing the number of elements from the input_dataset
that should be skipped. If count is -1, skips everything.
|
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.
|
metadata
|
An optional string. Defaults to "".
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type variant.
|
