GPU acceleration with Aesara

Questions v5
,
1

Hi there, I have created a model in PyMC4 (which uses Aesara) that runs fine on CPU. Now I’m trying to run it on GPU. In PyMC4 docs, I see that they say codes can be easily run on GPU. I tried to achieve this by setting up a .aesararc file in the home folder as follows:

[global]
floatX = float32
device = cuda0

However, what I get from this is the following error:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Input In [1], in <cell line: 1>()
----> 1 import aesara.tensor as at
      2 import aesara
      3 import arviz as az

File ~/anaconda3/envs/pymc_env/lib/python3.10/site-packages/aesara/__init__.py:64, in <module>
     61         continue
     62     raise RuntimeError("You have the aesara directory in your Python path.")
---> 64 from aesara.configdefaults import config
     65 from aesara.utils import deprecated
     68 change_flags = deprecated("Use aesara.config.change_flags instead!")(
     69     config.change_flags
     70 )

File ~/anaconda3/envs/pymc_env/lib/python3.10/site-packages/aesara/configdefaults.py:1454, in <module>
   1451 config = aesara.configparser._config
   1453 # The functions below register config variables into the config instance above.
-> 1454 add_basic_configvars()
   1455 add_compile_configvars()
   1456 add_tensor_configvars()

File ~/anaconda3/envs/pymc_env/lib/python3.10/site-packages/aesara/configdefaults.py:332, in add_basic_configvars()
    307 config.add(
    308     "cast_policy",
    309     "Rules for implicit type casting",
   (...)
    320     ),
    321 )
    323 config.add(
    324     "deterministic",
    325     "If `more`, sometimes we will select some implementation that "
   (...)
    329     in_c_key=False,
    330 )
--> 332 config.add(
    333     "device",
    334     ("Default device for computations. only cpu is supported for now"),
    335     DeviceParam("cpu", mutable=False),
    336     in_c_key=False,
    337 )
    339 config.add(
    340     "force_device",
    341     "Raise an error if we can't use the specified device",
    342     BoolParam(False, mutable=False),
    343     in_c_key=False,
    344 )
    346 config.add(
    347     "conv__assert_shape",
    348     "If True, AbstractConv* ops will verify that user-provided"
   (...)
    352     in_c_key=False,
    353 )

File ~/anaconda3/envs/pymc_env/lib/python3.10/site-packages/aesara/configparser.py:176, in AesaraConfigParser.add(self, name, doc, configparam, in_c_key)
    173 # Trigger a read of the value from config files and env vars
    174 # This allow to filter wrong value from the user.
    175 if not callable(configparam.default):
--> 176     configparam.__get__(self, type(self), delete_key=True)
    177 else:
    178     # We do not want to evaluate now the default value
    179     # when it is a callable.
    180     try:

File ~/anaconda3/envs/pymc_env/lib/python3.10/site-packages/aesara/configparser.py:360, in ConfigParam.__get__(self, cls, type_, delete_key)
    358         else:
    359             val_str = self.default
--> 360     self.__set__(cls, val_str)
    361 return self.val

File ~/anaconda3/envs/pymc_env/lib/python3.10/site-packages/aesara/configparser.py:368, in ConfigParam.__set__(self, cls, val)
    364 if not self.mutable and hasattr(self, "val"):
    365     raise Exception(
    366         f"Can't change the value of {self.name} config parameter after initialization!"
    367     )
--> 368 applied = self.apply(val)
    369 self.validate(applied)
    370 self.val = applied

File ~/anaconda3/envs/pymc_env/lib/python3.10/site-packages/aesara/configparser.py:324, in ConfigParam.apply(self, value)
    319 """Applies modifications to a parameter value during assignment.
    320 
    321 Typical use cases are casting or the substitution of '~' with the user home directory.
    322 """
    323 if callable(self._apply):
--> 324     return self._apply(value)
    325 return value

File ~/anaconda3/envs/pymc_env/lib/python3.10/site-packages/aesara/configparser.py:460, in DeviceParam._apply(self, val)
    458 def _apply(self, val):
    459     if val.startswith("opencl") or val.startswith("cuda") or val.startswith("gpu"):
--> 460         raise ValueError(
    461             "You are trying to use the old GPU back-end. "
    462             "It was removed from Aesara."
    463         )
    464     elif val == self.default:
    465         return val

ValueError: You are trying to use the old GPU back-end. It was removed from Aesara.

Particularly, I see the following as part of the above error message:

332 config.add(
    333     "device",
    334     ("Default device for computations. only cpu is supported for now")

Does this mean that GPU support is disabled altogether for now, or is there still a way to get GPU to work?
Thank you in advance for any help!

2

Aesara does not support GPU directly. Instead support is obtained from the JAX backend.

3 Likes
3

Thank you very much! This is great is know!
In fact, recently I managed to get access to GPU via Jax, so I should be good to go now. Here’s a thread where the setup for GPU for JAX sampling is discussed, for anybody else who needs help:

4 Likes