|
- # 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.static.nn.conv2d(
- image, num_filters=3, filter_size=3, bias_attr=False
- )
- with paddle.static.ipu_shard_guard(index=1):
- conv2 = paddle.static.nn.conv2d(
- conv1, num_filters=3, filter_size=3, bias_attr=False
- )
- loss = paddle.mean(conv2)
- self.fetch_list = [loss.name]
-
- 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()
|