Comments (8)
I see the issue, we're not providing prebuilt wheels for Py3.8+ to PyPI so they're running setup.py on your machine. I'll raise internally to add Py3.8 wheels to Haiku/Sonnet/dm-tree/...
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Thanks @jessebett for getting more info on the issue
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tycai:~/src$ python3 -m venv tmp && cd tmp/ && source bin/activate
tycai:~/src/tmp$ which bazel
tycai:~/src/tmp$ pip install --upgrade pip
# some output
tycai:~/src/tmp$ pip install jax jaxlib git+https://github.com/deepmind/dm-haiku
# more output
tycai:~/src/tmp$ python
Python 3.7.7 (default, Mar 10 2020, 13:18:53)
[GCC 9.2.1 20191109] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import haiku as hk
>>> import jax
>>> import numpy as np
>>> hk.transform(lambda x: hk.Linear(2)(x)).init(jax.random.PRNGKey(428), np.ones((8, 3)))
# some warnings
frozendict({
'linear': frozendict({
'b': DeviceArray([0., 0.], dtype=float32),
'w': DeviceArray([[-0.74963224, 0.05108356],
[-0.64863616, -0.96099967],
[ 0.69329786, 0.10406391]], dtype=float32),
}),
})
This looks fine to me. More generally, Haiku is pure-Python, so I'm skeptical that bazel is required if you can install JAX. Can you provide more details?
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Frankly, yesterday it told me to download bazel and after doing that it installed, but today it doesn't seem to be asking for that. I'm not sure what happened and I'm sorry for opening an issue without more investigation
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@trevorcai I am also running into an issue with bazel
dependency related to the dm-tree
requirement.
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Okay so this installs fine on python 3.7 but on python 3.8 fails with the bazel
dependency installing dm-tree
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@superbobry Mind taking a look at dm-tree on py3.8?
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#45 removes dm-tree as a Haiku dependency for users, so this shouldn't be an issue for naive installation. (We still depend on dm-tree in the examples dir and in tests, though.)
I'll make a new issue in dm-tree and close this one.
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Related Issues (20)
- More fine-grained mixed-precision configuration HOT 2
- Suggestion: alias `Transformed`(WithState) apply to __call__ HOT 2
- Is there a way to load parameters from Flax model? HOT 2
- Support model examples HOT 7
- Change to jax.interpreters.xla for JAX==0.4.14 HOT 3
- Warning: hk.LayerNorm when used in transformer decoder causes violation of autoregressive property HOT 1
- Reservoir Computing with Haiku
- Efficiency difference in using jax.lax.fori_loop vs looping over identical layers? HOT 2
- Please publish requirements.txt fix to pip
- How to use `apply` with additional parameters? HOT 1
- hk.Conv2DTranspose takes FOREVER to initialize and compile HOT 1
- 0.4.16 timeline HOT 2
- How to export haiku network parameters into Pytorch network?
- Modules got silently "reused" with `hk.vmap` HOT 2
- Wrong gradients in a Haiku network
- Direct Feedback Alignment
- Issue with wheels including docs and examples folder
- `haiku.experimental.flax` is not part of newest pip release HOT 1
- Train multiple hk.nets.MLP with one optimizer HOT 2
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