# Copyright (c) 2022 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): data = np.random.uniform(size=[4, 5, 6]) self.feed_fp32 = {"in_0": data.astype(np.float32)} self.feed_fp16 = {"in_0": data.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": 1, } @IPUOpTest.static_graph def build_model(self): x = paddle.static.data( name=self.feed_list[0], shape=self.feed_shape[0], dtype='float32' ) out = paddle.unstack(x, **self.attrs) self.fetch_list = [x.name for x in out] 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, } class TestCase2(TestBase): def set_op_attrs(self): self.attrs = { "axis": 0, } if __name__ == "__main__": unittest.main()