wehub-resource-sync
79 lines
2.4 KiB
Python
79 lines
2.4 KiB
Python
# Copyright (c) 2021 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
|
|
|
|
import numpy as np
|
|
from op_test_ipu import IPUOpTest
|
|
|
|
import paddle
|
|
import paddle.static
|
|
|
|
|
|
class TestBase(IPUOpTest):
|
|
def setUp(self):
|
|
self.set_training()
|
|
self.set_data_feed()
|
|
self.set_feed_attr()
|
|
|
|
def set_data_feed(self):
|
|
data = np.random.uniform(size=[2, 3, 10, 10])
|
|
self.feed_fp32 = {"in_0": data.astype(np.float32)}
|
|
|
|
def set_feed_attr(self):
|
|
self.feed_shape = [(1, 3, 10, 10)]
|
|
self.feed_list = list(self.feed_fp32.keys())
|
|
|
|
@IPUOpTest.static_graph
|
|
def build_model(self):
|
|
image = paddle.static.data(
|
|
name=self.feed_list[0], shape=self.feed_shape[0], dtype='float32'
|
|
)
|
|
with paddle.static.ipu_shard_guard(index=0):
|
|
conv1 = paddle.nn.Conv2D(
|
|
in_channels=image.shape[1],
|
|
out_channels=3,
|
|
kernel_size=3,
|
|
bias_attr=False,
|
|
)(image)
|
|
|
|
with paddle.static.ipu_shard_guard(index=1):
|
|
conv2 = paddle.nn.Conv2D(
|
|
in_channels=conv1.shape[1],
|
|
out_channels=3,
|
|
kernel_size=3,
|
|
bias_attr=False,
|
|
)(conv1)
|
|
|
|
loss = paddle.mean(conv2)
|
|
self.fetch_list = [loss]
|
|
|
|
def run_model(self, exec_mode):
|
|
ipu_strategy = paddle.static.IpuStrategy()
|
|
ipu_strategy.set_graph_config(
|
|
num_ipus=2, is_training=False, enable_manual_shard=True
|
|
)
|
|
ipu_strategy.set_pipelining_config(
|
|
enable_pipelining=True, batches_per_step=2
|
|
)
|
|
self.run_op_test(exec_mode, ipu_strategy=ipu_strategy)
|
|
|
|
def test(self):
|
|
self.build_model()
|
|
self.run_model(IPUOpTest.ExecutionMode.IPU_FP32)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|