Tomáš Nekvinda

Thank you @Edresson Are you also planning to retrain the models and update the YourTTS paper at least on arxiv? :innocent:

Here is a minimal reproducible example: ``` python import torch import torch.nn as nn class LayerNormFP32(nn.LayerNorm): def forward(self, x): return super().forward(x.float()).type(x.dtype) class Model(nn.Module): def __init__(self, hidden_dim: int = 1024): super().__init__()...

Hello @zewenli98, thank you! I am having issues compiling the latest code on my environment (python 3.11, torch 2.2), so I tried to use the wheel from gh actions associated...

Hi @zewenli98 thank you for our patience. I tried something like: ``` model_ = torch.export.export(model, tuple(dummy_inputs)) trt = torch_tensorrt.compile( model_, input_signature=(torch_tensorrt.Input(shape=dummy_inputs.shape, dtype=dummy_inputs.dtype),), enabled_precisions={ torch.float, torch.half }, require_full_compilation=True, truncate_long_and_double=True, ) ```...

Hello @zewenli98 , I installed the current release with python 3.10 so that I can try out at least dynamo. I tried to compile a single linear layer with torchscript...

@tuetschek is completely right, thank you!!!

> That would give you roughly 20 batches per epoch; are you sure there was sufficient amount of data to satisfy max_duration? Yes I am. > You can enable drop_last=True,...

Yup, I will make the PR :slightly_smiling_face:

Hello @YovaKem, First, I have to say that I am not completely sure guys :slightly_smiling_face: There might be multiple factors. The difference between the current and the very first numbers...

Hey guys, I think I do not have enough capacity to meaningfully and thoroughly review (it has been a long time since I did something related to dialogs). If you...