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handle ctrl msg from other rank (#4491)
* handle ctrl msg from other rank * static way * use check * add todo * add CHECK * add DumpToConsumedRegstDescId2Addr function * fix comment * handle returned_regst_num * optimize code * rename regst_desc_id2regst_desc_addr_ * fix Segfault fault * remove returned_regst_num * rename arg and function * add info im plan * use name producer_task_id Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>
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""" | ||
Copyright 2020 The OneFlow Authors. All rights reserved. | ||
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 | ||
http://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. | ||
""" | ||
import unittest | ||
import numpy as np | ||
import oneflow as flow | ||
import oneflow.typing as oft | ||
from typing import Tuple | ||
import time | ||
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@flow.unittest.skip_unless_2n1d() | ||
class TestTwoNodeBoxing(flow.unittest.TestCase): | ||
def test_two_node_boardcast(test_case): | ||
flow.clear_default_session() | ||
flow.config.enable_debug_mode(True) | ||
flow.config.gpu_device_num(4) | ||
func_config = flow.FunctionConfig() | ||
func_config.default_data_type(flow.float) | ||
func_config.default_logical_view(flow.scope.consistent_view()) | ||
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@flow.global_function(function_config=func_config) | ||
def split_to_broadcast_job(input_blob: oft.Numpy.Placeholder((96, 96))): | ||
with flow.scope.placement("gpu", "0:0"): | ||
src = flow.identity( | ||
input_blob.with_distribute(flow.distribute.split(0)) | ||
) | ||
with flow.scope.placement("gpu", ["0:0", "1:0"]): | ||
dst = flow.identity(src.with_distribute(flow.distribute.broadcast())) | ||
return dst | ||
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x = np.random.rand(96, 96).astype(np.float32) | ||
result = split_to_broadcast_job(x).get() | ||
test_case.assertTrue(np.array_equal(x, result.numpy())) | ||
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if __name__ == "__main__": | ||
unittest.main() |