wehub-resource-sync
73 lines
2.6 KiB
Python
73 lines
2.6 KiB
Python
# Copyright (c) 2025 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 collections import OrderedDict
|
|
|
|
from paddle.distributed.auto_parallel.static.dist_attribute import (
|
|
DistTensorSpec,
|
|
TensorDistAttr,
|
|
)
|
|
from paddle.distributed.fleet import auto
|
|
from paddle.framework import core
|
|
|
|
|
|
class TestGeluSPMDRule(unittest.TestCase):
|
|
def setUp(self):
|
|
self.gelu_rule = core.get_phi_spmd_rule("gelu")
|
|
|
|
x_shape = [64, 36]
|
|
process_mesh = auto.ProcessMesh(mesh=[[0, 1], [2, 3]])
|
|
|
|
x_tensor_dist_attr = TensorDistAttr()
|
|
x_tensor_dist_attr.dims_mapping = [1, 0]
|
|
x_tensor_dist_attr.process_mesh = process_mesh
|
|
self.x_dist_tensor_spec = DistTensorSpec(x_shape, x_tensor_dist_attr)
|
|
|
|
self.out_dist_tensor_spec = DistTensorSpec(self.x_dist_tensor_spec)
|
|
|
|
self.attrs = OrderedDict([('approximate', False)])
|
|
|
|
def test_infer_forward(self):
|
|
# [-1, 0]--> [-1, 0], [-1, 0]
|
|
self.x_dist_tensor_spec.set_dims_mapping([-1, 0])
|
|
|
|
result_dist_attrs = self.gelu_rule.infer_forward(
|
|
self.x_dist_tensor_spec, self.attrs['approximate']
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0])
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0])
|
|
|
|
def test_infer_backward(self):
|
|
# [-1, 0]--> [-1, 0], [-1, 0] (output --> inputs, output)
|
|
self.out_dist_tensor_spec.set_dims_mapping([-1, 0])
|
|
|
|
result_dist_attrs = self.gelu_rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.out_dist_tensor_spec,
|
|
self.attrs['approximate'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0])
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0])
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|