# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""Conveniance wrapper to perform STFT and iSTFT"""

import torch as th


def spectro(x, n_fft=512, hop_length=None, pad=0):
    *other, length = x.shape
    x = x.reshape(-1, length)
    
    device_type = x.device.type
    is_other_gpu = not device_type in ["cuda", "cpu"]

    if is_other_gpu:
        x = x.cpu()
    z = th.stft(x,
                n_fft * (1 + pad),
                hop_length or n_fft // 4,
                window=th.hann_window(n_fft).to(x),
                win_length=n_fft,
                normalized=True,
                center=True,
                return_complex=True,
                pad_mode='reflect')
    _, freqs, frame = z.shape
    return z.view(*other, freqs, frame)


def ispectro(z, hop_length=None, length=None, pad=0):
    *other, freqs, frames = z.shape
    n_fft = 2 * freqs - 2
    z = z.view(-1, freqs, frames)
    win_length = n_fft // (1 + pad)
    
    device_type = z.device.type
    is_other_gpu = not device_type in ["cuda", "cpu"]
    
    if is_other_gpu:
        z = z.cpu()
    x = th.istft(z,
                 n_fft,
                 hop_length,
                 window=th.hann_window(win_length).to(z.real),
                 win_length=win_length,
                 normalized=True,
                 length=length,
                 center=True)
    _, length = x.shape
    return x.view(*other, length)