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195 lines
6.8 KiB
195 lines
6.8 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import numpy as np
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from op_test import OpTest
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import paddle
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class TestAllcloseOp(OpTest):
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def set_args(self):
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self.input = np.array([10000., 1e-07]).astype("float32")
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self.other = np.array([10000.1, 1e-08]).astype("float32")
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self.rtol = np.array([1e-05]).astype("float64")
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self.atol = np.array([1e-08]).astype("float64")
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self.equal_nan = False
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def setUp(self):
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self.set_args()
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self.op_type = "allclose"
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self.inputs = {
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'Input': self.input,
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'Other': self.other,
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"Rtol": self.rtol,
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"Atol": self.atol
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}
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self.attrs = {'equal_nan': self.equal_nan}
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self.outputs = {
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'Out': np.array([
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np.allclose(
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self.inputs['Input'],
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self.inputs['Other'],
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rtol=self.rtol,
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atol=self.atol,
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equal_nan=self.equal_nan)
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])
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}
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def test_check_output(self):
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self.check_output()
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class TestAllcloseOpException(TestAllcloseOp):
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def test_check_output(self):
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def test_rtol_num():
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self.inputs['Rtol'] = np.array([1e-05, 1e-05]).astype("float64")
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self.inputs['Atol'] = np.array([1e-08]).astype("float64")
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self.check_output()
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self.assertRaises(ValueError, test_rtol_num)
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def test_rtol_type():
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self.inputs['Rtol'] = np.array([5]).astype("int32")
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self.inputs['Atol'] = np.array([1e-08]).astype("float64")
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self.check_output()
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self.assertRaises(ValueError, test_rtol_type)
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def test_atol_num():
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self.inputs['Rtol'] = np.array([1e-05]).astype("float64")
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self.inputs['Atol'] = np.array([1e-08, 1e-08]).astype("float64")
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self.check_output()
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self.assertRaises(ValueError, test_atol_num)
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def test_atol_type():
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self.inputs['Rtol'] = np.array([1e-05]).astype("float64")
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self.inputs['Atol'] = np.array([8]).astype("int32")
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self.check_output()
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self.assertRaises(ValueError, test_atol_type)
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class TestAllcloseOpSmallNum(TestAllcloseOp):
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def set_args(self):
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self.input = np.array([10000., 1e-08]).astype("float32")
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self.other = np.array([10000.1, 1e-09]).astype("float32")
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self.rtol = np.array([1e-05]).astype("float64")
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self.atol = np.array([1e-08]).astype("float64")
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self.equal_nan = False
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class TestAllcloseOpNanFalse(TestAllcloseOp):
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def set_args(self):
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self.input = np.array([1.0, float('nan')]).astype("float32")
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self.other = np.array([1.0, float('nan')]).astype("float32")
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self.rtol = np.array([1e-05]).astype("float64")
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self.atol = np.array([1e-08]).astype("float64")
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self.equal_nan = False
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class TestAllcloseOpNanTrue(TestAllcloseOp):
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def set_args(self):
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self.input = np.array([1.0, float('nan')]).astype("float32")
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self.other = np.array([1.0, float('nan')]).astype("float32")
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self.rtol = np.array([1e-05]).astype("float64")
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self.atol = np.array([1e-08]).astype("float64")
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self.equal_nan = True
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class TestAllcloseDygraph(unittest.TestCase):
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def test_api_case(self):
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paddle.disable_static()
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x_data = np.random.rand(10, 10)
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y_data = np.random.rand(10, 10)
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x = paddle.to_tensor(x_data)
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y = paddle.to_tensor(y_data)
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out = paddle.allclose(x, y, rtol=1e-05, atol=1e-08)
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expected_out = np.allclose(x_data, y_data, rtol=1e-05, atol=1e-08)
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self.assertTrue((out.numpy() == expected_out).all(), True)
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paddle.enable_static()
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class TestAllcloseError(unittest.TestCase):
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def test_input_dtype(self):
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def test_x_dtype():
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with paddle.static.program_guard(paddle.static.Program(),
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paddle.static.Program()):
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x = paddle.fluid.data(name='x', shape=[10, 10], dtype='float16')
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y = paddle.fluid.data(name='y', shape=[10, 10], dtype='float64')
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result = paddle.allclose(x, y)
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self.assertRaises(TypeError, test_x_dtype)
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def test_y_dtype():
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with paddle.static.program_guard(paddle.static.Program(),
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paddle.static.Program()):
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x = paddle.fluid.data(name='x', shape=[10, 10], dtype='float64')
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y = paddle.fluid.data(name='y', shape=[10, 10], dtype='int32')
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result = paddle.allclose(x, y)
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self.assertRaises(TypeError, test_y_dtype)
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def test_attr(self):
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x = paddle.fluid.data(name='x', shape=[10, 10], dtype='float64')
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y = paddle.fluid.data(name='y', shape=[10, 10], dtype='float64')
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def test_rtol():
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result = paddle.allclose(x, y, rtol=True)
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self.assertRaises(TypeError, test_rtol)
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def test_atol():
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result = paddle.allclose(x, y, rtol=True)
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self.assertRaises(TypeError, test_atol)
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def test_equal_nan():
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result = paddle.allclose(x, y, equal_nan=1)
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self.assertRaises(TypeError, test_equal_nan)
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class TestAllcloseOpFloat32(TestAllcloseOp):
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def set_args(self):
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self.input = np.array([10.1]).astype("float32")
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self.other = np.array([10]).astype("float32")
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self.rtol = np.array([0.01]).astype("float64")
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self.atol = np.array([0]).astype("float64")
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self.equal_nan = False
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class TestAllcloseOpFloat64(TestAllcloseOp):
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def set_args(self):
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self.input = np.array([10.1]).astype("float64")
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self.other = np.array([10]).astype("float64")
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self.rtol = np.array([0.01]).astype("float64")
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self.atol = np.array([0]).astype("float64")
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self.equal_nan = False
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class TestAllcloseOpLargeDimInput(TestAllcloseOp):
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def set_args(self):
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self.input = np.array(np.zeros([2048, 1024])).astype("float64")
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self.other = np.array(np.zeros([2048, 1024])).astype("float64")
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self.input[-1][-1] = 100
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self.rtol = np.array([1e-05]).astype("float64")
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self.atol = np.array([1e-08]).astype("float64")
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self.equal_nan = False
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if __name__ == "__main__":
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unittest.main()
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