wehub-resource-sync
77 lines
2.6 KiB
Python
77 lines
2.6 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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# http://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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import unittest
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import paddle
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from paddle.distributed.fleet import auto
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paddle.enable_static()
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def make_program():
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main_program = paddle.base.Program()
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start_program = paddle.base.Program()
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with paddle.static.program_guard(main_program, start_program):
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x = paddle.static.data(name='x', shape=[4, 4, 8], dtype='float32')
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x.stop_gradient = False
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auto.shard_tensor(
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x, auto.ProcessMesh([0, 1], dim_names=["x"]), [None, "x", None]
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)
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res = paddle.scale(x, scale=2.0, bias=1.0)
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return main_program, start_program
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def parallelizer(program_func, rank):
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from paddle.distributed.auto_parallel.static.completion import Completer
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from paddle.distributed.auto_parallel.static.dist_context import (
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DistributedContext,
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)
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from paddle.distributed.auto_parallel.static.partitioner import Partitioner
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main_program, start_program = program_func()
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dist_context = DistributedContext()
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completer = Completer(dist_context)
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completer.complete_forward_annotation(main_program)
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dist_context.block_state.parse_forward_blocks(main_program)
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partitioner = Partitioner(dist_context, rank)
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dist_main_prog, _, _ = partitioner.partition(
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main_program, start_program, []
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)
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return dist_main_prog, dist_context
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class TestDistScale(unittest.TestCase):
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def test_dist_scale(self):
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dist_main_prog, dist_context = parallelizer(make_program, 0)
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ops = dist_main_prog.global_block().ops
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scale_op = ops[0]
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dist_op = dist_context.get_dist_op_for_program(scale_op)
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assert dist_op.dist_attr.impl_type == "scale"
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assert dist_op.dist_attr.impl_idx == 0
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in_name = scale_op.input_arg_names[0]
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out_name = scale_op.output_arg_names[0]
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in_dims_mapping = dist_op.dist_attr.get_input_dims_mapping(in_name)
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out_dims_mapping = dist_op.dist_attr.get_output_dims_mapping(out_name)
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assert in_dims_mapping == out_dims_mapping
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if __name__ == "__main__":
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unittest.main()
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