Torchvista displays an interactive graph of the forward pass of a PyTorch model directly in the notebook with a single line of code. It offers error-tolerant partial visualization to trace the source of errors like tensor shape mismatches.
Metadata
Release files for torchvista 0.2.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| torchvista-0.2.13.tar.gz | 1.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torchvista-0.2.13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.1 MB
Release files / torchvista-0.2.13.tar.gz
| Download URL | torchvista-0.2.13.tar.gz |
|---|---|
| Size | 1.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
edb8db0681e3180151f3e1f1787c1913038e4e9d9e6685c4efa670c80471eff5
|
|
BLAKE2b-256 checksum How to use checksums |
071ad9790ab06ab4b6c7a9cdc9be2adfdbab35e8802d6a1468686360740c7bf5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.23
|
Release files / torchvista-0.2.13-py3-none-any.whl
| Download URL | torchvista-0.2.13-py3-none-any.whl |
|---|---|
| Size | 1.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c6ba4ffb08a1e5cd1237e1bc740f2937928cff21712274cd82a5538fc0a06cff
|
|
BLAKE2b-256 checksum How to use checksums |
a8465d45afe83a99ed2faf63ee35a1e563c14433d60bc3c7408c0d995f21d025
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.23
|