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Add more API set up for Mock GPU client. Also clean up previous mock …
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…GPU client

API.

PiperOrigin-RevId: 570153877
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wang12tao authored and jax authors committed Oct 2, 2023
1 parent d45fa22 commit c12929b
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30 changes: 29 additions & 1 deletion jax/_src/xla_bridge.py
Expand Up @@ -84,6 +84,18 @@
'Restricts the set of ROCM devices that JAX will use. Either "all", or a '
'comma-separate list of integer device IDs.')

_USE_MOCK_GPU_CLIENT = jax_config.DEFINE_bool(
name="use_mock_gpu_client",
default=False,
help="If True, use a mock GPU client instead of a real one.",
)

_MOCK_NUM_GPUS = jax_config.DEFINE_integer(
name="mock_num_gpus",
default=1,
help="Mock GPU client number of gpus.",
)


# Backends

Expand Down Expand Up @@ -221,12 +233,28 @@ def make_gpu_client(
if platform_name == "cuda":
_check_cuda_versions()

if xla_extension_version <= 199:
return xla_client.make_gpu_client(
distributed_client=distributed.global_state.client,
node_id=distributed.global_state.process_id,
num_nodes=distributed.global_state.num_processes,
platform_name=platform_name,
allowed_devices=allowed_devices,
)
use_mock_gpu_client = _USE_MOCK_GPU_CLIENT.value
num_nodes = (
_MOCK_NUM_GPUS.value
if use_mock_gpu_client
else distributed.global_state.num_processes
)

return xla_client.make_gpu_client(
distributed_client=distributed.global_state.client,
node_id=distributed.global_state.process_id,
num_nodes=distributed.global_state.num_processes,
num_nodes=num_nodes,
platform_name=platform_name,
allowed_devices=allowed_devices,
mock=use_mock_gpu_client, # type: ignore[call-arg]
)


Expand Down
15 changes: 15 additions & 0 deletions tests/BUILD
Expand Up @@ -231,6 +231,21 @@ jax_test(
],
)

jax_test(
name = "mock_gpu_test",
srcs = ["mock_gpu_test.py"],
disable_backends = [
"cpu",
"tpu",
],
tags = [
"config-cuda-only",
],
deps = [
"//jax:experimental",
],
)

jax_test(
name = "array_test",
srcs = ["array_test.py"],
Expand Down
69 changes: 69 additions & 0 deletions tests/mock_gpu_test.py
@@ -0,0 +1,69 @@
# Copyright 2023 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from functools import partial
import math

from absl.testing import absltest
import jax
from jax import config
from jax._src import test_util as jtu
from jax._src.lib import xla_extension_version
import jax.numpy as jnp
from jax.sharding import NamedSharding
from jax.sharding import PartitionSpec as P
import numpy as np

config.parse_flags_with_absl()


class MockGPUTest(jtu.JaxTestCase):

def setUp(self):
super().setUp()
jax.config.update('use_mock_gpu_client', True)

def tearDown(self):
jax.config.update('use_mock_gpu_client', False)
jax.config.update('mock_num_gpus', 1)
super().tearDown()

def testMockWithSharding(self):
if xla_extension_version < 200:
return
num_shards = 16
jax.config.update('mock_num_gpus', num_shards)
mesh_shape = (num_shards,)
axis_names = ('x',)
mesh_devices = np.array(jax.devices()).reshape(mesh_shape)
mesh = jax.sharding.Mesh(mesh_devices, axis_names)
@partial(
jax.jit,
in_shardings=NamedSharding(mesh, P('x',)),
out_shardings=NamedSharding(mesh, P('x',)),
)
def f(x, y):
z = x @ y
return z @ y

shape = (64, 64)
x = jnp.arange(math.prod(shape)).reshape(shape).astype(np.float32)
y = x + 1
f_lowered = f.lower(x, y)
hlo = f_lowered.compiler_ir()
self.assertIn('sharding = "{devices=[16,1]<=[16]}"', str(hlo))


if __name__ == '__main__':
absltest.main(testLoader=jtu.JaxTestLoader())

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