Module: tf.ragged

Defined in tensorflow/_api/v1/ragged/__init__.py.

Ragged Tensors.

This package defines ops for manipulating ragged tensors (tf.RaggedTensor), which are tensors with non-uniform shapes. In particular, each RaggedTensor has one or more ragged dimensions, which are dimensions whose slices may have different lengths. For example, the inner (column) dimension of rt=[[3, 1, 4, 1], [], [5, 9, 2], [6], []] is ragged, since the column slices (rt[0, :], ..., rt[4, :]) have different lengths. For a more detailed description of ragged tensors, see the tf.RaggedTensor class documentation and the Ragged Tensor Guide.

Additional ops that support RaggedTensor

• tf.debugging.check_numerics
• tf.identity
• tf.ones_like
• tf.ones_like
• tf.zeros_like
• tf.zeros_like
• tf.clip_by_value
• tf.math.abs
• tf.math.acos
• tf.math.acosh
• tf.math.angle
• tf.math.asin
• tf.math.asinh
• tf.math.atan
• tf.math.atanh
• tf.dtypes.cast
• tf.math.ceil
• tf.math.conj
• tf.math.cos
• tf.math.cosh
• tf.math.digamma
• tf.math.erf
• tf.math.erfc
• tf.math.exp
• tf.math.expm1
• tf.math.floor
• tf.math.imag
• tf.math.is_finite
• tf.math.is_inf
• tf.math.is_nan
• tf.math.lgamma
• tf.math.log
• tf.math.log1p
• tf.math.log_sigmoid
• tf.math.logical_not
• tf.math.negative
• tf.math.real
• tf.math.reciprocal
• tf.math.rint
• tf.math.round
• tf.math.rsqrt
• tf.dtypes.saturate_cast
• tf.math.sign
• tf.math.sin
• tf.math.sinh
• tf.math.sqrt
• tf.math.square
• tf.math.tan
• tf.io.decode_compressed
• tf.strings.to_number
• tf.strings.to_hash_bucket
• tf.dtypes.as_string
• tf.io.decode_base64
• tf.io.encode_base64
• tf.strings.regex_full_match
• tf.strings.regex_replace
• tf.strings.strip
• tf.strings.to_hash_bucket
• tf.strings.to_hash_bucket_fast
• tf.strings.to_hash_bucket_strong
• tf.strings.substr
• tf.strings.substr
• tf.strings.length
• tf.strings.length
• tf.strings.unicode_script
• tf.math.add_n
• tf.strings.join
• tf.math.add
• tf.math.atan2
• tf.dtypes.complex
• tf.div_no_nan
• tf.math.divide
• tf.math.equal
• tf.math.floordiv
• tf.floormod
• tf.math.greater
• tf.math.greater_equal
• tf.math.less
• tf.math.less_equal
• tf.math.logical_and
• tf.math.logical_or
• tf.math.logical_xor
• tf.math.maximum
• tf.math.minimum
• tf.math.multiply
• tf.math.not_equal
• tf.math.pow
• tf.realdiv
• tf.math.squared_difference
• tf.math.subtract
• tf.math.truediv
• tf.truncatediv
• tf.truncatemod
• tf.batch_gather
• tf.concat
• tf.expand_dims
• tf.expand_dims
• tf.gather
• tf.gather
• tf.gather_nd
• tf.stack
• tf.tile
• tf.where
• tf.math.unsorted_segment_sum
• tf.math.unsorted_segment_prod
• tf.math.unsorted_segment_min
• tf.math.unsorted_segment_max
• tf.math.unsorted_segment_mean
• tf.math.unsorted_segment_sqrt_n
• tf.math.reduce_sum
• tf.math.reduce_prod
• tf.math.reduce_min
• tf.math.reduce_max
• tf.math.reduce_mean
• tf.math.reduce_any
• tf.reduce_all

Classes

class RaggedTensorValue: Represents the value of a RaggedTensor.

Functions

constant(...): Constructs a constant RaggedTensor from a nested Python list.

constant_value(...): Constructs a RaggedTensorValue from a nested Python list.

map_flat_values(...): Applies op to the values of one or more RaggedTensors.

range(...): Returns a RaggedTensor containing the specified sequences of numbers.

row_splits_to_segment_ids(...): Generates the segmentation corresponding to a RaggedTensor row_splits.

segment_ids_to_row_splits(...): Generates the RaggedTensor row_splits corresponding to a segmentation.