akankshakshurai/cuda-error-resolution-analysis huggingface dataset:
How can I connect previous logg file into new ones in tensorboard

test_project: <p>I trained my model for 50 epochs.  Now I want to continue training  for other 15 epochs. so I start training with <code>model.load_from_checkpoint("path")</code><br>
but I don’t know how to show continuation of logs with tensorboard<br>
I thought if I write same path of previous file logs, it continue but it didn’t show me the previous logs.</p>
<p>I’d be appreciate if you could help me because I need to see the previous training logs along with the new ones.<br>
Part of source code is:</p>
<pre><code class="lang-auto">checkpoint_callback=ModelCheckpoint(dirpath="model",filename="newmodel_1",save_last=True,verbose=True,monitor="val_ce_loss",mode="min")
logger=TensorBoardLogger("training-logs",name="test_1")
model1 = model(config)
model_with_previous = model1.load_from_checkpoint(base_path_ckpt)
trainer = pl.Trainer(
     max_steps = max_steps,
     max_epochs=N_EPOCHS,
     gpus=(1 if torch.cuda.is_available() else 0),
     logger=logger,
     callbacks=[checkpoint_callback], 
)
%load_ext tensorboard
%tensorboard --logdir ./lightning_logs
</code></pre>
Formula for dilation and stride for Transpose 1D convolution

sroyyors: <p>Hi,<br>
I was wondering what the formula is for the size of the output when using a dilation of &gt;1 and stride when using a transpose convolution, specifically, ConvTranspose1d.</p>
<p>Thanks,<br>
Sushmita</p>

ptrblck: <p>The <a href="https://pytorch.org/docs/stable/generated/torch.nn.ConvTranspose1d.html#convtranspose1d">docs</a> show the formula in the <code>Shape</code> section.</p>