wehub-resource-sync
75 lines
2.6 KiB
Python
75 lines
2.6 KiB
Python
# Copyright (c) 2024 PaddlePaddle 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
|
|
|
|
from paddle.distributed.auto_parallel.static.dist_attribute import (
|
|
DistTensorSpec,
|
|
TensorDistAttr,
|
|
)
|
|
from paddle.distributed.fleet import auto
|
|
from paddle.framework import core
|
|
|
|
|
|
class TestStackSPMDRule(unittest.TestCase):
|
|
"""
|
|
Unit tests for split spmd rule.
|
|
"""
|
|
|
|
def setUp(self):
|
|
self.process_mesh = auto.ProcessMesh(mesh=[[0, 1, 2, 3], [4, 5, 6, 7]])
|
|
self.shapes = [[2, 4], [2, 4]]
|
|
self.dim_mappings = [[0, -1], [0, -1]]
|
|
|
|
def build_inputs(self):
|
|
inputs = []
|
|
for shape, dim_mapping in zip(self.shapes, self.dim_mappings):
|
|
tensor_dist_attr = TensorDistAttr()
|
|
tensor_dist_attr.dims_mapping = dim_mapping
|
|
tensor_dist_attr.process_mesh = self.process_mesh
|
|
inputs.append(DistTensorSpec(shape, tensor_dist_attr))
|
|
return inputs
|
|
|
|
def build_outputs(self):
|
|
tensor_dist_attr = TensorDistAttr()
|
|
tensor_dist_attr.dims_mapping = [0, -1, -1]
|
|
tensor_dist_attr.process_mesh = self.process_mesh
|
|
return DistTensorSpec([2, 4, 2], tensor_dist_attr)
|
|
|
|
def test_infer_forward(self):
|
|
inputs = self.build_inputs()
|
|
rule = core.get_phi_spmd_rule("stack")
|
|
inferred_dist_attrs = rule.infer_forward(inputs, -1)
|
|
|
|
inferred_output_dist_attrs = inferred_dist_attrs[1]
|
|
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [0, -1, -1]
|
|
)
|
|
|
|
def test_infer_backward(self):
|
|
inputs = self.build_inputs()
|
|
output = self.build_outputs()
|
|
rule = core.get_phi_spmd_rule("stack")
|
|
inferred_dist_attrs = rule.infer_backward(inputs, output, -1)
|
|
|
|
inferred_input_dist_attrs = inferred_dist_attrs[0]
|
|
self.assertEqual(len(inferred_input_dist_attrs), 1)
|
|
for input_dist_attr in inferred_input_dist_attrs[0]:
|
|
self.assertEqual(input_dist_attr.dims_mapping, [0, -1])
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|