tensorwatch
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microsoft
Debugging, monitoring and visualization for Python Machine Learning and Data Science
AttributeError: 'torch._C.Node' object has no attribute 'ival'
# Read This First * Make sure to describe **all the steps** to reproduce the issue * Include full error message in the description * Add OS version, Python version,...
_from torchvision.models.resnet import resnet50 import tensorwatch as tw model = resnet50() tw.draw_model(model, [1,3,512,512])_ when using tensorwatch and jupyter to watch pytorch models as above codes show, report error as below:...
pytorch version: 1.6.0 ``` import sys import torch import tensorwatch as tw import torchvision.models alexnet_model = torchvision.models.alexnet() tw.draw_model(alexnet_model, [1, 3, 224, 224]) ```
`import tensorwatch as tw ` ` Connected to pydev debugger (build 211.7142.13) Traceback (most recent call last): File "", line 971, in _find_and_load File "", line 955, in _find_and_load_unlocked File...
You can have device option when use get_saliency and get_image_saliency_results if have more than 2 GPUs in dev env.
I find two errors in the code for counting duration in file analyzer.py: 1. In PyTorch, the execution of the program is asynchronous. If we use the following code to...
Hi ! After installing tensorwatch, I run 'demo' code, it shows "AttributeError: module 'torch.jit' has no attribute 'get_trace_graph", how to solve it ? Thanks!
``` import tensorwatch as tw import torchvision.models alexnet_model = torchvision.models.alexnet() tw.draw_model(alexnet_model, [1, 3, 224, 224]) ``` **--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in 1 alexnet_model = torchvision.models.alexnet() ----> 2...
OS : windows 7 python3.6.8 running the demo: %matplotlib notebook import tensorwatch as tw client = tw.WatcherClient() loss_stream = client.create_stream(expr='lambda d:(d.iter, d.loss)') loss_plot = tw.Visualizer(loss_stream, vis_type='line', xtitle='Epoch', ytitle='Train Loss') loss_plot.show()...
