stared/thinking-in-tensors-writing-in-pytorch

Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

thinking-in-tensors-writing-in-pytorch's Issues

'torch._C.Value' object has no attribute 'uniqueName'

in
5 Nonlinea regression.ipynb

at

import hiddenlayer as hl
hl.build_graph(nonlinear_model, torch.zeros([1, 1]))

---

AttributeError Traceback (most recent call last)
in
1 import hiddenlayer as hl
----> 2 hl.build_graph(nonlinear_model, torch.zeros([1, 1]))

~/anaconda3/envs/cenv/lib/python3.7/site-packages/hiddenlayer/graph.py in build_graph(model, args, input_names, transforms, framework_transforms)
139 from .pytorch_builder import import_graph, FRAMEWORK_TRANSFORMS
140 assert args is not None, "Argument args must be provided for Pytorch models."
--> 141 import_graph(g, model, args)
142 elif framework == "tensorflow":
143 from .tf_builder import import_graph, FRAMEWORK_TRANSFORMS

~/anaconda3/envs/cenv/lib/python3.7/site-packages/hiddenlayer/pytorch_builder.py in import_graph(hl_graph, model, args, input_names, verbose)
88 shape = get_shape(torch_node)
89 # Add HL node
---> 90 hl_node = Node(uid=pytorch_id(torch_node), name=None, op=op,
91 output_shape=shape, params=params)
92 hl_graph.add_node(hl_node)

~/anaconda3/envs/cenv/lib/python3.7/site-packages/hiddenlayer/pytorch_builder.py in pytorch_id(node)
43 # After ONNX simplification, the scopeName is not unique anymore
44 # so append node outputs to guarantee uniqueness
---> 45 return node.scopeName() + "/outputs/" + "/".join([o.uniqueName() for o in node.outputs()])
46
47

~/anaconda3/envs/cenv/lib/python3.7/site-packages/hiddenlayer/pytorch_builder.py in (.0)
43 # After ONNX simplification, the scopeName is not unique anymore
44 # so append node outputs to guarantee uniqueness
---> 45 return node.scopeName() + "/outputs/" + "/".join([o.uniqueName() for o in node.outputs()])
46
47

AttributeError: 'torch._C.Value' object has no attribute 'uniqueName'

Livelossplot 2d diagram issues with CUDA

data/Animals.csv file not found

when running on colab

https://colab.research.google.com/github/stared/thinking-in-tensors-writing-in-pytorch/blob/master/3%20Linear%20regression.ipynb#scrollTo=s5gdu-mRRiwo

Transformers for NLP

Add notebook(s) on transformers.

Potentially to use as references:

• BERT Explained: A Complete Guide with Theory and Tutorial
• Transformers from scratch
• The annotated transformer

And more!

Links to Colab need "right-click, open in a new tab"

See: GitHub Jupyter viewer blocking links to Google Colab at Stack Overflow.

If you know an answer, let me know!