torchaudio.transforms.Spectrogram(n_fft:int=400,win_length:~typing.Optional[int]=None,hop_length:~typing.Optional[int]=None,pad:int=0,window_fn:~typing.Callable[[...],~torch.Tensor]=<built-inmethodhann_windowoftypeobject>,power:~typing.Optional[float]=2.0,normalized:~typing.Union[bool,str]...
fft(signal_ndim, normalized=False)→ Tensor See torch.fft() fill_(value)→ Tensor Fills self tensor with the specified value. flatten(input, start_dim=0, end_dim=-1)→ Tensor see torch.flatten() flip(dims)→ Tensor See torch.flip() float() → Tensor self.float() is equivalent to ...
🐛 Describe the bug Starting from torch version 2.2.0, I get a segmentation fault on a forward pass using Conv1d. The problem is not there with 2.1.2. Minimal script to reproduce: import torch import faulthandler faulthandler.enable() dev...
Fix a bug whereAddBackgroundNoisedid not work on CUDA Fix a bug where symlinked audio files/folders were not found when looking for audio files Use torch.fft.rfft instead of the torch.rfft (deprecated in pytorch 1.7) when possible. As a bonus, the change also improves performance inApply...
Is CUDA available: True CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA GeForce RTX 2080 Ti Nvidia driver version: 525.85.12 cuDNN version: Could not collect HIP runtime version: N/A MIOpen runtime version: N/A Is ...
jit.script(MyModule()) This error occurs because MyClass is automatically scripted, but self.attr is inferred to be a Tensor instead of an int because a is not annotated. To fix this, annotate a with the right type int, or mark attr as an attribute that should be ignored by the ...
Is CUDA available: True CUDA runtime version: 11.8.89 CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA GeForce RTX 4060 Laptop GPU Nvidia driver version: 535.104.05 cuDNN version: Probably one of the following: ...
Is CUDA available: True CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA RTX A5000 Nvidia driver version: 535.183.01 cuDNN version: Could not collect HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK ...
torch.cudnn_is_acceptable, torch.empty, torch.empty_permuted, torch.empty_strided, torch.empty_quantized, torch.export.export, torch.export.load, torch.export.register_dataclass, torch.export.save, torch.eye, torch.fft.fftfreq, torch.fft.rfftfreq, torch.from_file, torch.full, torch.f...
🐛 Describe the bug This error was encountered while trying to implement a version of Autotuner.prune_configs from Triton. This function was modified from operating on a dict to a list (dict with config keys is also not supported). A mini...