# Module: tf.compat.v1.ragged
Ragged Tensors. This package defines ops for manipulating ragged tensors ([`tf.RaggedTensor`](https://www.tensorflow.org/versions/r2.14/api_docs/python/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`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/RaggedTensor) class documentation and the [Ragged Tensor Guide](https://www.tensorflow.org/guide/ragged_tensor). ### Additional ops that support `RaggedTensor` Arguments that accept `RaggedTensor`s are marked in **bold**. - `tf.__operators__.eq`(**self** , **other**) - `tf.__operators__.ne`(**self** , **other**) - [`tf.bitcast`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/bitcast)(**input** , type, name=`None`) - [`tf.bitwise.bitwise_and`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/bitwise/bitwise_and)(**x** , **y** , name=`None`) - [`tf.bitwise.bitwise_or`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/bitwise/bitwise_or)(**x** , **y** , name=`None`) - [`tf.bitwise.bitwise_xor`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/bitwise/bitwise_xor)(**x** , **y** , name=`None`) - [`tf.bitwise.invert`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/bitwise/invert)(**x** , name=`None`) - [`tf.bitwise.left_shift`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/bitwise/left_shift)(**x** , **y** , name=`None`) - [`tf.bitwise.right_shift`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/bitwise/right_shift)(**x** , **y** , name=`None`) - [`tf.broadcast_to`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/broadcast_to)(**input** , **shape** , name=`None`) - [`tf.cast`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/cast)(**x** , dtype, name=`None`) - [`tf.clip_by_value`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/clip_by_value)(**t** , clip_value_min, clip_value_max, name=`None`) - [`tf.concat`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/concat)(**values** , axis, name=`'concat'`) - [`tf.debugging.assert_equal`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/debugging/assert_equal)(**x** , **y** , message=`None`, summarize=`None`, name=`None`) - [`tf.debugging.assert_greater_equal`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/debugging/assert_greater_equal)(**x** , **y** , message=`None`, summarize=`None`, name=`None`) - [`tf.debugging.assert_greater`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/debugging/assert_greater)(**x** , **y** , message=`None`, summarize=`None`, name=`None`) - [`tf.debugging.assert_less_equal`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/debugging/assert_less_equal)(**x** , **y** , message=`None`, summarize=`None`, name=`None`) - [`tf.debugging.assert_less`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/debugging/assert_less)(**x** , **y** , message=`None`, summarize=`None`, name=`None`) - [`tf.debugging.assert_near`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/debugging/assert_near)(**x** , **y** , rtol=`None`, atol=`None`, message=`None`, summarize=`None`, name=`None`) - [`tf.debugging.assert_none_equal`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/debugging/assert_none_equal)(**x** , **y** , summarize=`None`, message=`None`, name=`None`) - [`tf.debugging.check_numerics`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/debugging/check_numerics)(**tensor** , message, name=`None`) - [`tf.dtypes.complex`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/dtypes/complex)(**real** , **imag** , name=`None`) - [`tf.dtypes.saturate_cast`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/dtypes/saturate_cast)(**value** , dtype, name=`None`) - [`tf.dynamic_partition`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/dynamic_partition)(**data** , **partitions** , num_partitions, name=`None`) - [`tf.expand_dims`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/expand_dims)(**input** , axis, name=`None`) - [`tf.gather_nd`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/gather_nd)(**params** , **indices** , batch_dims=`0`, name=`None`) - [`tf.gather`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/gather)(**params** , **indices** , validate_indices=`None`, axis=`None`, batch_dims=`0`, name=`None`) - [`tf.image.adjust_brightness`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/image/adjust_brightness)(**image**, delta) - [`tf.image.adjust_gamma`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/image/adjust_gamma)(**image** , gamma=`1`, gain=`1`) - [`tf.image.convert_image_dtype`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/image/convert_image_dtype)(**image** , dtype, saturate=`False`, name=`None`) - [`tf.image.random_brightness`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/image/random_brightness)(**image** , max_delta, seed=`None`) - [`tf.image.resize`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/image/resize)(**images** , size, method=`'bilinear'`, preserve_aspect_ratio=`False`, antialias=`False`, name=`None`) - [`tf.image.stateless_random_brightness`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/image/stateless_random_brightness)(**image**, max_delta, seed) - [`tf.io.decode_base64`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/io/decode_base64)(**input** , name=`None`) - [`tf.io.decode_compressed`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/io/decode_compressed)(**bytes** , compression_type=`''`, name=`None`) - [`tf.io.encode_base64`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/io/encode_base64)(**input** , pad=`False`, name=`None`) - [`tf.linalg.matmul`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/linalg/matmul)(**a** , **b** , transpose_a=`False`, transpose_b=`False`, adjoint_a=`False`, adjoint_b=`False`, a_is_sparse=`False`, b_is_sparse=`False`, output_type=`None`, name=`None`) - [`tf.math.abs`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/abs)(**x** , name=`None`) - [`tf.math.acos`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/acos)(**x** , name=`None`) - [`tf.math.acosh`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/acosh)(**x** , name=`None`) - [`tf.math.add_n`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/add_n)(**inputs** , name=`None`) - [`tf.math.add`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/add)(**x** , **y** , name=`None`) - [`tf.math.angle`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/angle)(**input** , name=`None`) - [`tf.math.asin`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/asin)(**x** , name=`None`) - [`tf.math.asinh`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/asinh)(**x** , name=`None`) - [`tf.math.atan2`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/atan2)(**y** , **x** , name=`None`) - [`tf.math.atan`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/atan)(**x** , name=`None`) - [`tf.math.atanh`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/atanh)(**x** , name=`None`) - [`tf.math.bessel_i0`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/bessel_i0)(**x** , name=`None`) - [`tf.math.bessel_i0e`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/bessel_i0e)(**x** , name=`None`) - [`tf.math.bessel_i1`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/bessel_i1)(**x** , name=`None`) - [`tf.math.bessel_i1e`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/bessel_i1e)(**x** , name=`None`) - [`tf.math.bincount`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/bincount)(**arr** , weights=`None`, minlength=`None`, maxlength=`None`, dtype=[`tf.int32`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf#int32), name=`None`, axis=`None`, binary_output=`False`) - [`tf.math.ceil`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/ceil)(**x** , name=`None`) - [`tf.math.conj`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/conj)(**x** , name=`None`) - [`tf.math.cos`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/cos)(**x** , name=`None`) - [`tf.math.cosh`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/cosh)(**x** , name=`None`) - [`tf.math.cumsum`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/cumsum)(**x** , **axis** =`0`, **exclusive** =`False`, **reverse** =`False`, **name** =`None`) - [`tf.math.digamma`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/digamma)(**x** , name=`None`) - [`tf.math.divide_no_nan`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/divide_no_nan)(**x** , **y** , name=`None`) - [`tf.math.divide`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/divide)(**x** , **y** , name=`None`) - [`tf.math.equal`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/equal)(**x** , **y** , name=`None`) - [`tf.math.erf`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/erf)(**x** , name=`None`) - [`tf.math.erfc`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/erfc)(**x** , name=`None`) - [`tf.math.erfcinv`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/erfcinv)(**x** , name=`None`) - [`tf.math.erfinv`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/erfinv)(**x** , name=`None`) - [`tf.math.exp`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/exp)(**x** , name=`None`) - [`tf.math.expm1`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/expm1)(**x** , name=`None`) - [`tf.math.floor`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/floor)(**x** , name=`None`) - [`tf.math.floordiv`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/floordiv)(**x** , **y** , name=`None`) - [`tf.math.floormod`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/floormod)(**x** , **y** , name=`None`) - [`tf.math.greater_equal`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/greater_equal)(**x** , **y** , name=`None`) - [`tf.math.greater`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/greater)(**x** , **y** , name=`None`) - [`tf.math.imag`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/imag)(**input** , name=`None`) - [`tf.math.is_finite`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/is_finite)(**x** , name=`None`) - [`tf.math.is_inf`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/is_inf)(**x** , name=`None`) - [`tf.math.is_nan`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/is_nan)(**x** , name=`None`) - [`tf.math.less_equal`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/less_equal)(**x** , **y** , name=`None`) - [`tf.math.less`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/less)(**x** , **y** , name=`None`) - [`tf.math.lgamma`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/lgamma)(**x** , name=`None`) - [`tf.math.log1p`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/log1p)(**x** , name=`None`) - [`tf.math.log_sigmoid`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/log_sigmoid)(**x** , name=`None`) - [`tf.math.log`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/log)(**x** , name=`None`) - [`tf.math.logical_and`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/logical_and)(**x** , **y** , name=`None`) - [`tf.math.logical_not`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/logical_not)(**x** , name=`None`) - [`tf.math.logical_or`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/logical_or)(**x** , **y** , name=`None`) - [`tf.math.logical_xor`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/logical_xor)(**x** , **y** , name=`'LogicalXor'`) - [`tf.math.maximum`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/maximum)(**x** , **y** , name=`None`) - [`tf.math.minimum`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/minimum)(**x** , **y** , name=`None`) - [`tf.math.multiply_no_nan`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/multiply_no_nan)(**x** , **y** , name=`None`) - [`tf.math.multiply`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/multiply)(**x** , **y** , name=`None`) - [`tf.math.ndtri`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/ndtri)(**x** , name=`None`) - [`tf.math.negative`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/negative)(**x** , name=`None`) - [`tf.math.nextafter`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/nextafter)(**x1** , x2, name=`None`) - [`tf.math.not_equal`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/not_equal)(**x** , **y** , name=`None`) - [`tf.math.pow`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/pow)(**x** , **y** , name=`None`) - [`tf.math.real`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/real)(**input** , name=`None`) - [`tf.math.reciprocal_no_nan`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/reciprocal_no_nan)(**x** , name=`None`) - [`tf.math.reciprocal`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/reciprocal)(**x** , name=`None`) - [`tf.math.reduce_all`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/reduce_all)(**input_tensor** , axis=`None`, keepdims=`False`, name=`None`) - [`tf.math.reduce_any`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/reduce_any)(**input_tensor** , axis=`None`, keepdims=`False`, name=`None`) - [`tf.math.reduce_max`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/reduce_max)(**input_tensor** , axis=`None`, keepdims=`False`, name=`None`) - [`tf.math.reduce_mean`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/reduce_mean)(**input_tensor** , axis=`None`, keepdims=`False`, name=`None`) - [`tf.math.reduce_min`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/reduce_min)(**input_tensor** , axis=`None`, keepdims=`False`, name=`None`) - [`tf.math.reduce_prod`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/reduce_prod)(**input_tensor** , axis=`None`, keepdims=`False`, name=`None`) - [`tf.math.reduce_std`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/reduce_std)(**input_tensor** , axis=`None`, keepdims=`False`, name=`None`) - [`tf.math.reduce_sum`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/reduce_sum)(**input_tensor** , axis=`None`, keepdims=`False`, name=`None`) - [`tf.math.reduce_variance`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/reduce_variance)(**input_tensor** , axis=`None`, keepdims=`False`, name=`None`) - [`tf.math.rint`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/rint)(**x** , name=`None`) - [`tf.math.round`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/round)(**x** , name=`None`) - [`tf.math.rsqrt`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/rsqrt)(**x** , name=`None`) - [`tf.math.scalar_mul`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/scalar_mul)(**scalar** , **x** , name=`None`) - [`tf.math.sigmoid`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/sigmoid)(**x** , name=`None`) - [`tf.math.sign`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/sign)(**x** , name=`None`) - [`tf.math.sin`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/sin)(**x** , name=`None`) - [`tf.math.sinh`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/sinh)(**x** , name=`None`) - [`tf.math.softplus`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/softplus)(**features** , name=`None`) - [`tf.math.special.bessel_j0`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/bessel_j0)(**x** , name=`None`) - [`tf.math.special.bessel_j1`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/bessel_j1)(**x** , name=`None`) - [`tf.math.special.bessel_k0`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/bessel_k0)(**x** , name=`None`) - [`tf.math.special.bessel_k0e`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/bessel_k0e)(**x** , name=`None`) - [`tf.math.special.bessel_k1`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/bessel_k1)(**x** , name=`None`) - [`tf.math.special.bessel_k1e`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/bessel_k1e)(**x** , name=`None`) - [`tf.math.special.bessel_y0`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/bessel_y0)(**x** , name=`None`) - [`tf.math.special.bessel_y1`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/bessel_y1)(**x** , name=`None`) - [`tf.math.special.dawsn`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/dawsn)(**x** , name=`None`) - [`tf.math.special.expint`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/expint)(**x** , name=`None`) - [`tf.math.special.fresnel_cos`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/fresnel_cos)(**x** , name=`None`) - [`tf.math.special.fresnel_sin`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/fresnel_sin)(**x** , name=`None`) - [`tf.math.special.spence`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/special/spence)(**x** , name=`None`) - [`tf.math.sqrt`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/sqrt)(**x** , name=`None`) - [`tf.math.square`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/square)(**x** , name=`None`) - [`tf.math.squared_difference`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/squared_difference)(**x** , **y** , name=`None`) - [`tf.math.subtract`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/subtract)(**x** , **y** , name=`None`) - [`tf.math.tan`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/tan)(**x** , name=`None`) - [`tf.math.tanh`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/tanh)(**x** , name=`None`) - [`tf.math.truediv`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/truediv)(**x** , **y** , name=`None`) - [`tf.math.unsorted_segment_max`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/unsorted_segment_max)(**data** , **segment_ids** , num_segments, name=`None`) - [`tf.math.unsorted_segment_mean`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/unsorted_segment_mean)(**data** , **segment_ids** , num_segments, name=`None`) - [`tf.math.unsorted_segment_min`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/unsorted_segment_min)(**data** , **segment_ids** , num_segments, name=`None`) - [`tf.math.unsorted_segment_prod`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/unsorted_segment_prod)(**data** , **segment_ids** , num_segments, name=`None`) - [`tf.math.unsorted_segment_sqrt_n`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/unsorted_segment_sqrt_n)(**data** , **segment_ids** , num_segments, name=`None`) - [`tf.math.unsorted_segment_sum`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/unsorted_segment_sum)(**data** , **segment_ids** , num_segments, name=`None`) - [`tf.math.xdivy`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/xdivy)(**x** , **y** , name=`None`) - [`tf.math.xlog1py`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/xlog1py)(**x** , **y** , name=`None`) - [`tf.math.xlogy`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/xlogy)(**x** , **y** , name=`None`) - [`tf.math.zeta`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/zeta)(**x** , **q** , name=`None`) - [`tf.nn.dropout`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/nn/dropout)(**x** , rate, noise_shape=`None`, seed=`None`, name=`None`) - [`tf.nn.elu`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/nn/elu)(**features** , name=`None`) - [`tf.nn.experimental.stateless_dropout`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/nn/experimental/stateless_dropout)(**x** , rate, seed, rng_alg=`None`, noise_shape=`None`, name=`None`) - [`tf.nn.gelu`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/nn/gelu)(**features** , approximate=`False`, name=`None`) - [`tf.nn.leaky_relu`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/nn/leaky_relu)(**features** , alpha=`0.2`, name=`None`) - [`tf.nn.relu6`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/nn/relu6)(**features** , name=`None`) - [`tf.nn.relu`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/nn/relu)(**features** , name=`None`) - [`tf.nn.selu`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/nn/selu)(**features** , name=`None`) - [`tf.nn.sigmoid_cross_entropy_with_logits`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/nn/sigmoid_cross_entropy_with_logits)(**labels** =`None`, **logits** =`None`, name=`None`) - [`tf.nn.silu`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/nn/silu)(**features** , beta=`1.0`) - [`tf.nn.softmax`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/nn/softmax)(**logits** , axis=`None`, name=`None`) - [`tf.nn.softsign`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/nn/softsign)(**features** , name=`None`) - [`tf.one_hot`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/one_hot)(**indices** , depth, on_value=`None`, off_value=`None`, axis=`None`, dtype=`None`, name=`None`) - [`tf.ones_like`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/ones_like)(**input** , dtype=`None`, name=`None`, layout=`None`) - [`tf.print`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/print)(\***inputs**, \*\*kwargs) - [`tf.rank`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/rank)(**input** , name=`None`) - [`tf.realdiv`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/realdiv)(**x** , **y** , name=`None`) - [`tf.reshape`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/reshape)(**tensor** , **shape** , name=`None`) - [`tf.reverse`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/reverse)(**tensor** , axis, name=`None`) - [`tf.size`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/size)(**input** , out_type=`None`, name=`None`) - [`tf.sparse.bincount`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/sparse/bincount)(**values** , weights=`None`, axis=`0`, minlength=`None`, maxlength=`None`, binary_output=`False`, name=`None`) - [`tf.split`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/split)(**value** , num_or_size_splits, axis=`0`, num=`None`, name=`'split'`) - [`tf.squeeze`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/squeeze)(**input** , axis=`None`, name=`None`) - [`tf.stack`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/stack)(**values** , axis=`0`, name=`'stack'`) - [`tf.strings.as_string`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/as_string)(**input** , precision=`-1`, scientific=`False`, shortest=`False`, width=`-1`, fill=`''`, name=`None`) - [`tf.strings.format`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/format)(**template** , **inputs** , placeholder=`'{}'`, summarize=`3`, name=`None`) - [`tf.strings.join`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/join)(**inputs** , separator=`''`, name=`None`) - [`tf.strings.length`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/length)(**input** , unit=`'BYTE'`, name=`None`) - [`tf.strings.lower`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/lower)(**input** , encoding=`''`, name=`None`) - [`tf.strings.reduce_join`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/reduce_join)(**inputs** , axis=`None`, keepdims=`False`, separator=`''`, name=`None`) - [`tf.strings.regex_full_match`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/regex_full_match)(**input** , pattern, name=`None`) - [`tf.strings.regex_replace`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/regex_replace)(**input** , pattern, rewrite, replace_global=`True`, name=`None`) - [`tf.strings.strip`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/strip)(**input** , name=`None`) - [`tf.strings.substr`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/substr)(**input** , pos, len, unit=`'BYTE'`, name=`None`) - [`tf.strings.to_hash_bucket_fast`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/to_hash_bucket_fast)(**input** , num_buckets, name=`None`) - [`tf.strings.to_hash_bucket_strong`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/to_hash_bucket_strong)(**input** , num_buckets, key, name=`None`) - [`tf.strings.to_hash_bucket`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/to_hash_bucket)(**input** , num_buckets, name=`None`) - [`tf.strings.to_number`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/to_number)(**input** , out_type=[`tf.float32`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf#float32), name=`None`) - [`tf.strings.unicode_script`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/unicode_script)(**input** , name=`None`) - [`tf.strings.unicode_transcode`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/unicode_transcode)(**input** , input_encoding, output_encoding, errors=`'replace'`, replacement_char=`65533`, replace_control_characters=`False`, name=`None`) - [`tf.strings.upper`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/strings/upper)(**input** , encoding=`''`, name=`None`) - [`tf.tile`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/tile)(**input** , multiples, name=`None`) - [`tf.truncatediv`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/truncatediv)(**x** , **y** , name=`None`) - [`tf.truncatemod`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/truncatemod)(**x** , **y** , name=`None`) - [`tf.where`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/where)(**condition** , **x** =`None`, **y** =`None`, name=`None`) - [`tf.zeros_like`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/zeros_like)(**input** , dtype=`None`, name=`None`, layout=`None`)n ## Classes [`class RaggedTensorValue`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/compat/v1/ragged/RaggedTensorValue): Represents the value of a `RaggedTensor`. ## Functions [`boolean_mask(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/ragged/boolean_mask): Applies a boolean mask to `data` without flattening the mask dimensions. [`constant(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/ragged/constant): Constructs a constant RaggedTensor from a nested Python list. [`constant_value(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/compat/v1/ragged/constant_value): Constructs a RaggedTensorValue from a nested Python list. [`cross(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/ragged/cross): Generates feature cross from a list of tensors. [`cross_hashed(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/ragged/cross_hashed): Generates hashed feature cross from a list of tensors. [`map_flat_values(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/ragged/map_flat_values): Applies `op` to the `flat_values` of one or more RaggedTensors. [`placeholder(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/compat/v1/ragged/placeholder): Creates a placeholder for a [`tf.RaggedTensor`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/RaggedTensor) that will always be fed. [`range(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/ragged/range): Returns a `RaggedTensor` containing the specified sequences of numbers. [`row_splits_to_segment_ids(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/ragged/row_splits_to_segment_ids): Generates the segmentation corresponding to a RaggedTensor `row_splits`. [`segment_ids_to_row_splits(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/ragged/segment_ids_to_row_splits): Generates the RaggedTensor `row_splits` corresponding to a segmentation. [`stack(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/ragged/stack): Stacks a list of rank-`R` tensors into one rank-`(R+1)` `RaggedTensor`. [`stack_dynamic_partitions(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/ragged/stack_dynamic_partitions): Stacks dynamic partitions of a Tensor or RaggedTensor.