Comments (2)
IvyZX
commented on July 17, 2024
Hmm unfortunately I cannot repro this (Flax 0.8.5). My printout yields this:
This can be reproed by opening any empty colab.
Foo Summary
┏━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┓
┃ path ┃ module ┃ inputs ┃ outputs ┃ flops ┃ vjp_flops ┃ params ┃
┡━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━┩
│ │ Foo │ float32[16,9] │ float32[16,2] │ 1504 │ 4460 │ │
├─────────┼────────┼───────────────┼───────────────┼───────┼───────────┼──────────────────────┤
│ Dense_0 │ Dense │ float32[16,9] │ float32[16,4] │ 1216 │ 3620 │ bias: float32[4] │
│ │ │ │ │ │ │ kernel: float32[9,4] │
│ │ │ │ │ │ │ │
│ │ │ │ │ │ │ 40 (160 B) │
├─────────┼────────┼───────────────┼───────────────┼───────┼───────────┼──────────────────────┤
│ Dense_1 │ Dense │ float32[16,4] │ float32[16,2] │ 288 │ 840 │ bias: float32[2] │
│ │ │ │ │ │ │ kernel: float32[4,2] │
│ │ │ │ │ │ │ │
│ │ │ │ │ │ │ 10 (40 B) │
├─────────┼────────┼───────────────┼───────────────┼───────┼───────────┼──────────────────────┤
│ │ │ │ │ │ Total │ 50 (200 B) │
└─────────┴────────┴───────────────┴───────────────┴───────┴───────────┴──────────────────────┘
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Surya-77
commented on July 17, 2024
The code does work on the pinned package configurations on Colab and Kaggle, but fails to run when installed with the same package versions on a local machine. The provided data is based on a new install of flax, jax and jaxlib cuda on a mamba environment using pip. (Though that shouldn't affect it).
For reference, the Colab and Kaggle runtime use system level CuDA packages while the pip installed versions come with their own CuDA wheels.
Here's the minimal dependency list anyways.
Package Version
------------------------ ---------
absl-py 2.1.0
asttokens 2.4.1
chex 0.1.86
decorator 5.1.1
etils 1.7.0
exceptiongroup 1.2.0
executing 2.0.1
flax 0.8.4
fsspec 2024.6.0
importlib_resources 6.4.0
ipython 8.25.0
jax 0.4.26
jax-cuda12-pjrt 0.4.26
jax-cuda12-plugin 0.4.26
jaxlib 0.4.26
jedi 0.19.1
markdown-it-py 3.0.0
matplotlib-inline 0.1.7
mdurl 0.1.2
ml-dtypes 0.4.0
msgpack 1.0.8
nest-asyncio 1.6.0
numpy 2.0.0
nvidia-cublas-cu12 12.5.2.13
nvidia-cuda-cupti-cu12 12.5.39
nvidia-cuda-nvcc-cu12 12.5.40
nvidia-cuda-nvrtc-cu12 12.5.40
nvidia-cuda-runtime-cu12 12.5.39
nvidia-cudnn-cu12 8.9.7.29
nvidia-cufft-cu12 11.2.3.18
nvidia-cusolver-cu12 11.6.2.40
nvidia-cusparse-cu12 12.4.1.24
nvidia-nccl-cu12 2.22.3
nvidia-nvjitlink-cu12 12.5.40
opt-einsum 3.3.0
optax 0.2.2
orbax-checkpoint 0.5.20
parso 0.8.4
pexpect 4.9.0
pickleshare 0.7.5
pip 24.0
prompt_toolkit 3.0.47
protobuf 5.27.2
ptyprocess 0.7.0
pure-eval 0.2.2
Pygments 2.18.0
PyYAML 6.0.1
rich 13.7.1
scipy 1.14.0
setuptools 70.1.1
six 1.16.0
stack-data 0.6.2
tensorstore 0.1.63
toolz 0.12.1
traitlets 5.14.3
typing_extensions 4.12.2
wcwidth 0.2.13
wheel 0.43.0
zipp 3.19.2
from flax.
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from flax.