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mannykayy switchzts quocvuong82 goodnasubi shradha97 amisarbel

chainer-waveglow's Issues

learning time

Hi!

I run the script with a single GPU, batch_size = 1 and iteration=1000000 but learning time will be 50 days.
How long have you been learning with the default parameters?

Generate.py throws error on line 30, and hangs

While trying to generate audio from tacotron2 generated mel, generate.py just throws error on line 30, and hangs.

Traceback (most recent call last):
  File "generate.py", line 30, in <module>

Training on different dataset on multiple gpus throws error

By executing command python train.py -g 7 -r snapshot_iter_500000 it throws error you see below.
P.S. additionally, -g 7 runs the model on eighth gpu, how can I run it on all gpus?

@dhgrs

Traceback (most recent call last):
  File "train.py", line 133, in <module>
    chainer.serializers.load_npz(args.resume, trainer)
  File "/home/lchkhetianni/.conda/envs/TARS/lib/python3.6/site-packages/chainer/serializers/npz.py", line 190, in load_npz
    d.load(obj)
  File "/home/lchkhetianni/.conda/envs/TARS/lib/python3.6/site-packages/chainer/serializer.py", line 83, in load
    obj.serialize(self)
  File "/home/lchkhetianni/.conda/envs/TARS/lib/python3.6/site-packages/chainer/training/trainer.py", line 341, in serialize
    self.updater.serialize(serializer['updater'])
  File "/home/lchkhetianni/.conda/envs/TARS/lib/python3.6/site-packages/chainer/training/updaters/standard_updater.py", line 189, in serialize
    iterator.serialize(serializer['iterator:' + name])
  File "/home/lchkhetianni/.conda/envs/TARS/lib/python3.6/site-packages/chainer/iterators/multiprocess_iterator.py", line 216, in serialize
    serializer('order', self._order)
  File "/home/lchkhetianni/.conda/envs/TARS/lib/python3.6/site-packages/chainer/serializers/npz.py", line 150, in __call__
    numpy.copyto(value, dataset)
ValueError: could not broadcast input array from shape (11790) into shape (0)
Exception ignored in: <bound method MultiprocessIterator.__del__ of <chainer.iterators.multiprocess_iterator.MultiprocessIterator object at 0x7f5f708567b8>>
Traceback (most recent call last):
  File "/home/lchkhetianni/.conda/envs/TARS/lib/python3.6/site-packages/chainer/iterators/multiprocess_iterator.py", line 168, in __del__
  File "/home/lchkhetianni/.conda/envs/TARS/lib/python3.6/site-packages/chainer/iterators/multiprocess_iterator.py", line 321, in terminate
  File "/home/lchkhetianni/.conda/envs/TARS/lib/python3.6/threading.py", line 347, in notify
TypeError: 'NoneType' object is not callable
Exception ignored in: <bound method MultiprocessIterator.__del__ of <chainer.iterators.multiprocess_iterator.MultiprocessIterator object at 0x7f5f6d4ca9e8>>
Traceback (most recent call last):
  File "/home/lchkhetianni/.conda/envs/TARS/lib/python3.6/site-packages/chainer/iterators/multiprocess_iterator.py", line 168, in __del__
  File "/home/lchkhetianni/.conda/envs/TARS/lib/python3.6/site-packages/chainer/iterators/multiprocess_iterator.py", line 321, in terminate
  File "/home/lchkhetianni/.conda/envs/TARS/lib/python3.6/threading.py", line 347, in notify
TypeError: 'NoneType' object is not callable

ValueError: could not broadcast input array from shape (11790) into shape (4064)

Training throws this error. @dhgrs could you please help me out?

Traceback (most recent call last):
  File "train.py", line 133, in <module>
    chainer.serializers.load_npz(args.resume, trainer)
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/serializers/npz.py", line 221, in load_npz
    d.load(obj)
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/serializer.py", line 83, in load
    obj.serialize(self)
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 361, in serialize
    self.updater.serialize(serializer['updater'])
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 194, in serialize
    iterator.serialize(serializer['iterator:' + name])
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/iterators/multiprocess_iterator.py", line 221, in serialize
    serializer('order', order)
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/serializers/npz.py", line 172, in __call__
    numpy.copyto(value, dataset)
ValueError: could not broadcast input array from shape (11790) into shape (4064)

Exception in main training loop: Argument 'x' has incorrect type

Installed all required dependencies, and training throws this error:

Exception in main training loop: Argument 'x' has incorrect type (expected cupy.core.core.ndarray, got Variable)
Traceback (most recent call last):
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 316, in run
    update()
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 170, in update
    self.update_core()
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/training/updaters/parallel_updater.py", line 135, in update_core
    loss = loss_func(*in_arrays)
  File "/home/lchkhetianni/chainer-WaveGlow/WaveGlow/model.py", line 53, in __call__
    z, gaussian_nll, sum_log_s, sum_log_det_W = self._forward(x, condition)
  File "/home/lchkhetianni/chainer-WaveGlow/WaveGlow/model.py", line 81, in _forward
    mean=self.xp.zeros_like(z, dtype=self.xp.float32),
  File "/home/lchkhetianni/.conda/envs/chainer/lib/python3.5/site-packages/cupy/creation/basic.py", line 205, in zeros_like
    order, strides, memptr = _new_like_order_and_strides(a, dtype, order)
  File "/home/lchkhetianni/.conda/envs/chainer/lib/python3.5/site-packages/cupy/creation/basic.py", line 35, in _new_like_order_and_strides
    order = chr(_update_order_char(a, ord(order)))
Will finalize trainer extensions and updater before reraising the exception.
Traceback (most recent call last):
  File "train.py", line 144, in <module>
    trainer.run()
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 349, in run
    six.reraise(*exc_info)
  File "/home/lchkhetianni/.conda/envs/chainer/lib/python3.5/site-packages/six.py", line 693, in reraise
    raise value
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 316, in run
    update()
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 170, in update
    self.update_core()
  File "/home/lchkhetianni/.local/lib/python3.5/site-packages/chainer/training/updaters/parallel_updater.py", line 135, in update_core
    loss = loss_func(*in_arrays)
  File "/home/lchkhetianni/chainer-WaveGlow/WaveGlow/model.py", line 53, in __call__
    z, gaussian_nll, sum_log_s, sum_log_det_W = self._forward(x, condition)
  File "/home/lchkhetianni/chainer-WaveGlow/WaveGlow/model.py", line 81, in _forward
    mean=self.xp.zeros_like(z, dtype=self.xp.float32),
  File "/home/lchkhetianni/.conda/envs/chainer/lib/python3.5/site-packages/cupy/creation/basic.py", line 205, in zeros_like
    order, strides, memptr = _new_like_order_and_strides(a, dtype, order)
  File "/home/lchkhetianni/.conda/envs/chainer/lib/python3.5/site-packages/cupy/creation/basic.py", line 35, in _new_like_order_and_strides
    order = chr(_update_order_char(a, ord(order)))
TypeError: Argument 'x' has incorrect type (expected cupy.core.core.ndarray, got Variable)

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