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3f5f3e1c47
This is because the underlying Triton IR does not guarantee compatibility. PiperOrigin-RevId: 703127711
68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
# Copyright 2023 The JAX Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Test exporting Pallas kernels."""
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import sys
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from absl.testing import absltest
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import jax
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from jax import export
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from jax._src import test_util as jtu
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from jax.experimental import pallas as pl
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import numpy as np
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jax.config.parse_flags_with_absl()
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class ExportTest(jtu.JaxTestCase):
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def setUp(self):
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if sys.platform == "win32":
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self.skipTest("Only works on non-Windows platforms")
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super().setUp()
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def test_cross_platform(self):
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def add_vectors_kernel(x_ref, y_ref, o_ref):
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x, y = x_ref[...], y_ref[...]
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o_ref[...] = x + y
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@jax.jit
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def add_vectors(x: jax.Array, y: jax.Array) -> jax.Array:
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return pl.pallas_call(add_vectors_kernel,
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out_shape=jax.ShapeDtypeStruct(x.shape, x.dtype)
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)(x, y)
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a = np.arange(8 * 16, dtype=np.int32).reshape((8, 16))
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exp = export.export(
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add_vectors,
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platforms=["tpu", "cuda"],
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# The Pallas GPU custom call is not enabled for export by default.
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disabled_checks=[
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export.DisabledSafetyCheck.custom_call("__gpu$xla.gpu.triton")
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]
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)(a, a)
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if (jtu.device_under_test() == "tpu" or
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(jtu.device_under_test() == "gpu" and
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jtu.is_cuda_compute_capability_at_least("8.0"))):
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res = exp.call(a, a)
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self.assertAllClose(res, a + a)
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if __name__ == '__main__':
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absltest.main(testLoader=jtu.JaxTestLoader())
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