o si @sHddlZd dejdedejfddZd dejd ededejfd d ZdS)NfeatsdimreturncCs`|dkrt|d|ddd|S||j}|dddf|dddf|dddf<|S)aCompute delta coefficients of a tensor. Args: feats: Input features to compute deltas with. dim: feature dimension in the feats tensor. Returns: Tensor: Tensor of deltas. Examples >>> import torch >>> phase = torch.randn(2, 257, 100) >>> # Compute instantaneous frequency >>> inst_freq = compute_delta(phase, dim=-1) >>> # Or group delay >>> group_delay = compute_delta(phase, dim=-2) rr.N) compute_delta transpose new_zerosshape)rrdeltar G/home/ubuntu/.local/lib/python3.10/site-packages/asteroid/dsp/deltas.pyrs  ,rrordercCs8|g}t|D] }|t|d|dqtj||dS)aConcatenate delta coefficients of a tensor to itself. Args: feats: Input features to compute deltas with. order: Order of the delta e.g with order==2, compute delta of delta as well. dim: feature dimension in the feats tensor. Returns: Tensor: Concatenation of the features, the deltas and subsequent deltas. Examples >>> import torch >>> phase = torch.randn(2, 257, 100) >>> # Compute second order instantaneous frequency >>> phase_and_inst_freq = concat_deltas(phase, order=2, dim=-1) >>> # Or group delay >>> phase_and_group_delay = concat_deltas(phase, order=2, dim=-2) rr)rangeappendrtorchcat)rrr all_feats_r r r concat_deltass r)r)rr)rTensorintrrr r r rs$