# Copyright (c) 2020 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 six import numpy as np import paddle import paddle.fluid as fluid import paddle.fluid.core as core class TestTF32Switch(unittest.TestCase): def test_on_off(self): if core.is_compiled_with_cuda(): place = fluid.CUDAPlace(0) self.assertTrue(core.get_cublas_switch()) # default core.set_cublas_switch(False) self.assertFalse(core.get_cublas_switch()) # turn off core.set_cublas_switch(True) self.assertTrue(core.get_cublas_switch()) # turn on core.set_cublas_switch(True) # restore the switch else: pass class TestTF32OnMatmul(unittest.TestCase): def test_dygraph_without_out(self): if core.is_compiled_with_cuda(): place = fluid.CUDAPlace(0) core.set_cublas_switch(False) # turn off with fluid.dygraph.guard(place): input_array1 = np.random.rand(4, 12, 64, 88).astype("float32") input_array2 = np.random.rand(4, 12, 88, 512).astype("float32") data1 = paddle.to_tensor(input_array1) data2 = paddle.to_tensor(input_array2) out = paddle.matmul(data1, data2) expected_result = np.matmul(input_array1, input_array2) self.assertTrue(np.allclose(expected_result, out.numpy(), 1e-03)) core.set_cublas_switch(True) # restore the switch else: pass if __name__ == '__main__': unittest.main()