wehub-resource-sync
87 lines
2.5 KiB
Python
87 lines
2.5 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_atol()
|
|
self.set_training()
|
|
self.set_data_feed()
|
|
self.set_feed_attr()
|
|
self.set_op_attrs()
|
|
|
|
def set_data_feed(self):
|
|
x = np.random.uniform(size=[1, 2])
|
|
y = np.random.uniform(size=[1, 2])
|
|
z = np.random.uniform(size=[1, 2])
|
|
self.feed_fp32 = {
|
|
"x": x.astype(np.float32),
|
|
"y": y.astype(np.float32),
|
|
"z": z.astype(np.float32),
|
|
}
|
|
self.feed_fp16 = {
|
|
"x": x.astype(np.float16),
|
|
"y": y.astype(np.float16),
|
|
"z": z.astype(np.float16),
|
|
}
|
|
|
|
def set_feed_attr(self):
|
|
self.feed_shape = [x.shape for x in self.feed_fp32.values()]
|
|
self.feed_list = list(self.feed_fp32.keys())
|
|
self.feed_dtype = [x.dtype for x in self.feed_fp32.values()]
|
|
|
|
def set_op_attrs(self):
|
|
self.attrs = {"axis": 0}
|
|
|
|
@IPUOpTest.static_graph
|
|
def build_model(self):
|
|
x = paddle.static.data(
|
|
name=self.feed_list[0], shape=self.feed_shape[0], dtype='float32'
|
|
)
|
|
y = paddle.static.data(
|
|
name=self.feed_list[1], shape=self.feed_shape[1], dtype='float32'
|
|
)
|
|
z = paddle.static.data(
|
|
name=self.feed_list[2], shape=self.feed_shape[2], dtype='float32'
|
|
)
|
|
out = paddle.stack([x, y, z], **self.attrs)
|
|
self.fetch_list = [out.name]
|
|
|
|
def run_model(self, exec_mode):
|
|
self.run_op_test(exec_mode)
|
|
|
|
def test(self):
|
|
for m in IPUOpTest.ExecutionMode:
|
|
if not self.skip_mode(m):
|
|
self.build_model()
|
|
self.run_model(m)
|
|
self.check()
|
|
|
|
|
|
class TestCase1(TestBase):
|
|
def set_op_attrs(self):
|
|
self.attrs = {"axis": -2}
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|