Computes the cumulative sum of a tensor along a specified axis.
tfb_cumsum(axis = -1, validate_args = FALSE, name = "cumsum")
a bijector instance.
int
indicating the axis along which to compute the cumulative sum.
Note that positive (and zero) values are not supported
Logical, default FALSE. Whether to validate input with asserts. If validate_args is FALSE, and the inputs are invalid, correct behavior is not guaranteed.
name prefixed to Ops created by this class.
For usage examples see tfb_forward()
, tfb_inverse()
, tfb_inverse_log_det_jacobian()
.
Other bijectors:
tfb_absolute_value()
,
tfb_affine_linear_operator()
,
tfb_affine_scalar()
,
tfb_affine()
,
tfb_ascending()
,
tfb_batch_normalization()
,
tfb_blockwise()
,
tfb_chain()
,
tfb_cholesky_outer_product()
,
tfb_cholesky_to_inv_cholesky()
,
tfb_correlation_cholesky()
,
tfb_discrete_cosine_transform()
,
tfb_expm1()
,
tfb_exp()
,
tfb_ffjord()
,
tfb_fill_scale_tri_l()
,
tfb_fill_triangular()
,
tfb_glow()
,
tfb_gompertz_cdf()
,
tfb_gumbel_cdf()
,
tfb_gumbel()
,
tfb_identity()
,
tfb_inline()
,
tfb_invert()
,
tfb_iterated_sigmoid_centered()
,
tfb_kumaraswamy_cdf()
,
tfb_kumaraswamy()
,
tfb_lambert_w_tail()
,
tfb_masked_autoregressive_default_template()
,
tfb_masked_autoregressive_flow()
,
tfb_masked_dense()
,
tfb_matrix_inverse_tri_l()
,
tfb_matvec_lu()
,
tfb_normal_cdf()
,
tfb_ordered()
,
tfb_pad()
,
tfb_permute()
,
tfb_power_transform()
,
tfb_rational_quadratic_spline()
,
tfb_rayleigh_cdf()
,
tfb_real_nvp_default_template()
,
tfb_real_nvp()
,
tfb_reciprocal()
,
tfb_reshape()
,
tfb_scale_matvec_diag()
,
tfb_scale_matvec_linear_operator()
,
tfb_scale_matvec_lu()
,
tfb_scale_matvec_tri_l()
,
tfb_scale_tri_l()
,
tfb_scale()
,
tfb_shifted_gompertz_cdf()
,
tfb_shift()
,
tfb_sigmoid()
,
tfb_sinh_arcsinh()
,
tfb_sinh()
,
tfb_softmax_centered()
,
tfb_softplus()
,
tfb_softsign()
,
tfb_split()
,
tfb_square()
,
tfb_tanh()
,
tfb_transform_diagonal()
,
tfb_transpose()
,
tfb_weibull_cdf()
,
tfb_weibull()