# 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 import OpTest import paddle import paddle.fluid as fluid import paddle.fluid.layers as layers import paddle.fluid.core as core from paddle.fluid.framework import _test_eager_guard class TestDiffOp(unittest.TestCase): def set_args(self): self.input = np.array([1, 4, 5, 2]).astype('float32') self.n = 1 self.axis = -1 self.prepend = None self.append = None def get_output(self): if self.prepend is not None and self.append is not None: self.output = np.diff( self.input, n=self.n, axis=self.axis, prepend=self.prepend, append=self.append) elif self.prepend is not None: self.output = np.diff( self.input, n=self.n, axis=self.axis, prepend=self.prepend) elif self.append is not None: self.output = np.diff( self.input, n=self.n, axis=self.axis, append=self.append) else: self.output = np.diff(self.input, n=self.n, axis=self.axis) def setUp(self): self.set_args() self.get_output() self.places = [paddle.CPUPlace()] if core.is_compiled_with_cuda(): self.places.append(paddle.CUDAPlace(0)) def func_dygraph(self): for place in self.places: paddle.disable_static() x = paddle.to_tensor(self.input, place=place) if self.prepend is not None: self.prepend = paddle.to_tensor(self.prepend, place=place) if self.append is not None: self.append = paddle.to_tensor(self.append, place=place) out = paddle.diff( x, n=self.n, axis=self.axis, prepend=self.prepend, append=self.append) self.assertTrue((out.numpy() == self.output).all(), True) def test_dygraph(self): with _test_eager_guard(): self.setUp() self.func_dygraph() self.setUp() self.func_dygraph() def test_static(self): paddle.enable_static() places = [fluid.CPUPlace()] if core.is_compiled_with_cuda(): places.append(fluid.CUDAPlace(0)) for place in places: with fluid.program_guard(fluid.Program(), fluid.Program()): x = paddle.fluid.data( name="input", shape=self.input.shape, dtype=self.input.dtype) has_pend = False prepend = None append = None if self.prepend is not None: has_pend = True prepend = paddle.fluid.data( name="prepend", shape=self.prepend.shape, dtype=self.prepend.dtype) if self.append is not None: has_pend = True append = paddle.fluid.data( name="append", shape=self.append.shape, dtype=self.append.dtype) exe = fluid.Executor(place) out = paddle.diff( x, n=self.n, axis=self.axis, prepend=prepend, append=append) fetches = exe.run(fluid.default_main_program(), feed={ "input": self.input, "prepend": self.prepend, "append": self.append }, fetch_list=[out]) self.assertTrue((fetches[0] == self.output).all(), True) def func_grad(self): for place in self.places: x = paddle.to_tensor(self.input, place=place, stop_gradient=False) if self.prepend is not None: self.prepend = paddle.to_tensor(self.prepend, place=place) if self.append is not None: self.append = paddle.to_tensor(self.append, place=place) out = paddle.diff( x, n=self.n, axis=self.axis, prepend=self.prepend, append=self.append) try: out.backward() x_grad = x.grad except: raise RuntimeError("Check Diff Gradient Failed") def test_grad(self): with _test_eager_guard(): self.setUp() self.func_grad() self.setUp() self.func_grad() class TestDiffOpAxis(TestDiffOp): def set_args(self): self.input = np.array([[1, 4, 5, 2], [1, 5, 4, 2]]).astype('float32') self.n = 1 self.axis = 0 self.prepend = None self.append = None class TestDiffOpNDim(TestDiffOp): def set_args(self): self.input = np.random.rand(10, 10).astype('float32') self.n = 1 self.axis = -1 self.prepend = None self.append = None class TestDiffOpBool(TestDiffOp): def set_args(self): self.input = np.array([0, 1, 1, 0, 1, 0]).astype('bool') self.n = 1 self.axis = -1 self.prepend = None self.append = None class TestDiffOpPrepend(TestDiffOp): def set_args(self): self.input = np.array([[1, 4, 5, 2], [1, 5, 4, 2]]).astype('float32') self.n = 1 self.axis = -1 self.prepend = np.array([[2, 3, 4], [1, 3, 5]]).astype('float32') self.append = None class TestDiffOpPrependAxis(TestDiffOp): def set_args(self): self.input = np.array([[1, 4, 5, 2], [1, 5, 4, 2]]).astype('float32') self.n = 1 self.axis = 0 self.prepend = np.array( [[0, 2, 3, 4], [1, 3, 5, 7], [2, 5, 8, 0]]).astype('float32') self.append = None class TestDiffOpAppend(TestDiffOp): def set_args(self): self.input = np.array([[1, 4, 5, 2], [1, 5, 4, 2]]).astype('float32') self.n = 1 self.axis = -1 self.prepend = None self.append = np.array([[2, 3, 4], [1, 3, 5]]).astype('float32') class TestDiffOpAppendAxis(TestDiffOp): def set_args(self): self.input = np.array([[1, 4, 5, 2], [1, 5, 4, 2]]).astype('float32') self.n = 1 self.axis = 0 self.prepend = None self.append = np.array([[2, 3, 4, 1]]).astype('float32') class TestDiffOpPreAppend(TestDiffOp): def set_args(self): self.input = np.array([[1, 4, 5, 2], [1, 5, 4, 2]]).astype('float32') self.n = 1 self.axis = -1 self.prepend = np.array([[0, 4], [5, 9]]).astype('float32') self.append = np.array([[2, 3, 4], [1, 3, 5]]).astype('float32') class TestDiffOpPreAppendAxis(TestDiffOp): def set_args(self): self.input = np.array([[1, 4, 5, 2], [1, 5, 4, 2]]).astype('float32') self.n = 1 self.axis = 0 self.prepend = np.array([[0, 4, 5, 9], [5, 9, 2, 3]]).astype('float32') self.append = np.array([[2, 3, 4, 7], [1, 3, 5, 6]]).astype('float32') if __name__ == '__main__': paddle.enable_static() unittest.main()