wehub-resource-sync
94 lines
2.9 KiB
Python
94 lines
2.9 KiB
Python
# Copyright (c) 2019 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
|
|
|
|
import numpy as np
|
|
|
|
import paddle
|
|
import paddle.nn.functional as F
|
|
from paddle import base
|
|
from paddle.base import core
|
|
|
|
|
|
class MyLayer(paddle.nn.Layer):
|
|
def __init__(self, name_scope):
|
|
super().__init__(name_scope)
|
|
|
|
def forward(self, inputs):
|
|
x = F.relu(inputs)
|
|
x = paddle.multiply(x, x)
|
|
x = paddle.sum(x)
|
|
return [x]
|
|
|
|
|
|
class TestImperativeParallelCoalesceSplit(unittest.TestCase):
|
|
def test_coalesce_split(self):
|
|
from paddle.distributed.parallel import (
|
|
_coalesce_tensors,
|
|
_split_tensors,
|
|
)
|
|
|
|
with base.dygraph.guard():
|
|
test_layer = MyLayer("test_layer")
|
|
strategy = core.ParallelStrategy()
|
|
test_layer = paddle.DataParallel(test_layer, strategy)
|
|
|
|
# test variables prepare
|
|
vars = []
|
|
vars.append(
|
|
paddle.to_tensor(np.random.random([2, 3]).astype("float32"))
|
|
)
|
|
vars.append(
|
|
paddle.to_tensor(np.random.random([4, 9]).astype("float32"))
|
|
)
|
|
vars.append(
|
|
paddle.to_tensor(np.random.random([10, 1]).astype("float32"))
|
|
)
|
|
var_groups = OrderedDict()
|
|
var_groups.setdefault(0, vars)
|
|
|
|
# record shapes
|
|
orig_var_shapes = []
|
|
for var in vars:
|
|
orig_var_shapes.append(var.shape)
|
|
|
|
# execute interface
|
|
coalesced_vars = _coalesce_tensors(var_groups)
|
|
_split_tensors(coalesced_vars)
|
|
|
|
# compare
|
|
for orig_var_shape, var in zip(orig_var_shapes, vars):
|
|
self.assertEqual(orig_var_shape, var.shape)
|
|
|
|
def test_reshape_inplace(self):
|
|
from paddle.distributed.parallel import _reshape_inplace
|
|
|
|
with base.dygraph.guard():
|
|
test_layer = MyLayer("test_layer")
|
|
strategy = core.ParallelStrategy()
|
|
test_layer = paddle.DataParallel(test_layer, strategy)
|
|
|
|
ori_shape = [2, 25]
|
|
new_shape = [5, 10]
|
|
x_data = np.random.random(ori_shape).astype("float32")
|
|
x = paddle.to_tensor(x_data)
|
|
_reshape_inplace(x, new_shape)
|
|
self.assertEqual(x.shape, new_shape)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|