diff --git a/python/paddle/fluid/tests/unittests/xpu/test_reduce_prod_op_xpu.py b/python/paddle/fluid/tests/unittests/xpu/test_reduce_prod_op_xpu.py index 44686ae418bfcf2d8a6b7410160a5718f04a105d..b621cb59c0ed009598f40990176147fe3f91b518 100644 --- a/python/paddle/fluid/tests/unittests/xpu/test_reduce_prod_op_xpu.py +++ b/python/paddle/fluid/tests/unittests/xpu/test_reduce_prod_op_xpu.py @@ -1,4 +1,4 @@ -# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# 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. @@ -18,138 +18,129 @@ import unittest import numpy as np import sys sys.path.append("..") -from op_test_xpu import OpTest, XPUOpTest -from op_test import skip_check_grad_ci -import paddle -import paddle.fluid.core as core -import paddle.fluid as fluid -from paddle.fluid import compiler, Program, program_guard -from paddle.fluid.framework import convert_np_dtype_to_dtype_ - - -class TestXPUReduceProdOp(XPUOpTest): - def setUp(self): - self.init_op_type() - self.initTestCase() - self.use_xpu = True - self.use_mkldnn = False - self.attrs = { - 'dim': self.axis, - 'keep_dim': self.keep_dim, - 'reduce_all': self.reduce_all - } - self.inputs = {'X': np.random.random(self.shape).astype("float32")} - if self.attrs['reduce_all']: - self.outputs = {'Out': self.inputs['X'].prod()} - else: - self.outputs = { - 'Out': self.inputs['X'].prod( - axis=self.axis, keepdims=self.attrs['keep_dim']) - } - - def test_check_output(self): - if paddle.is_compiled_with_xpu(): - paddle.enable_static() - place = paddle.XPUPlace(0) - self.check_output_with_place(place) - - def test_check_grad(self): - if paddle.is_compiled_with_xpu(): - paddle.enable_static() - place = paddle.XPUPlace(0) - self.check_grad_with_place(place, ['X'], 'Out') - - def init_op_type(self): - self.op_type = "reduce_prod" - self.use_mkldnn = False - self.keep_dim = False - self.reduce_all = False - - def initTestCase(self): - self.shape = (5, 6, 10) - self.axis = (0, ) - - -class TestProdOp5D(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = (1, 2, 5, 6, 10) - self.axis = (0, ) - - -class TestProdOp6D(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = (1, 1, 2, 5, 6, 10) - self.axis = (0, ) - - -class TestProdOp8D(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = (1, 3, 1, 2, 1, 4, 3, 10) - self.axis = (0, 3) - - -class Test1DReduce(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = 120 - self.axis = (0, ) - - -class Test2DReduce0(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = (20, 10) - self.axis = (0, ) - -class Test2DReduce1(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = (20, 10) - self.axis = (1, ) - - -class Test3DReduce0(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = (5, 6, 7) - self.axis = (1, ) - - -class Test3DReduce1(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = (5, 6, 7) - self.axis = (2, ) - - -class Test3DReduce2(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = (5, 6, 7) - self.axis = (-2, ) - - -class Test3DReduce3(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = (5, 6, 7) - self.axis = (1, 2) - - -class TestKeepDimReduce(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = (5, 6, 10) - self.axis = (1, ) - self.keep_dim = True - - -class TestKeepDim8DReduce(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = (2, 5, 3, 2, 2, 3, 4, 2) - self.axis = (3, 4, 5) - self.keep_dim = True - - -class TestReduceAll(TestXPUReduceProdOp): - def initTestCase(self): - self.shape = (5, 6, 2, 10) - self.axis = (0, ) - self.reduce_all = True +import paddle +from op_test import OpTest +from op_test_xpu import XPUOpTest +from xpu.get_test_cover_info import create_test_class, get_xpu_op_support_types, XPUOpTestWrapper + +paddle.enable_static() + + +class XPUTestReduceProdOP(XPUOpTestWrapper): + def __init__(self): + self.op_name = 'reduce_prod' + self.use_dynamic_create_class = False + + class TestXPUReduceProdOp(XPUOpTest): + def setUp(self): + self.place = paddle.XPUPlace(0) + self.init_dtype() + self.op_type = 'reduce_prod' + self.use_mkldnn = False + self.keep_dim = False + self.reduce_all = False + self.initTestCase() + self.attrs = { + 'dim': self.axis, + 'keep_dim': self.keep_dim, + 'reduce_all': self.reduce_all + } + self.inputs = {'X': np.random.random(self.shape).astype(self.dtype)} + if self.attrs['reduce_all']: + self.outputs = {'Out': self.inputs['X'].prod()} + else: + self.outputs = { + 'Out': self.inputs['X'].prod( + axis=self.axis, keepdims=self.attrs['keep_dim']) + } + + def initTestCase(self): + self.shape = (5, 6, 10) + self.axis = (0, ) + + def init_dtype(self): + self.dtype = self.in_type + + def test_check_output(self): + self.check_output_with_place(self.place) + + def test_check_grad(self): + self.check_grad_with_place(self.place, ['X'], 'Out') + + class TestProdOp5D(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = (1, 2, 5, 6, 10) + self.axis = (0, ) + + class TestProdOp6D(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = (1, 1, 2, 5, 6, 10) + self.axis = (0, ) + + class TestProdOp8D(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = (1, 3, 1, 2, 1, 4, 3, 10) + self.axis = (0, 3) + + class Test1DReduce(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = 120 + self.axis = (0, ) + + class Test2DReduce0(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = (20, 10) + self.axis = (0, ) + + class Test2DReduce1(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = (20, 10) + self.axis = (1, ) + + class Test3DReduce0(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = (5, 6, 7) + self.axis = (1, ) + + class Test3DReduce1(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = (5, 6, 7) + self.axis = (2, ) + + class Test3DReduce2(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = (5, 6, 7) + self.axis = (-2, ) + + class Test3DReduce3(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = (5, 6, 7) + self.axis = (1, 2) + + class TestKeepDimReduce(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = (5, 6, 10) + self.axis = (1, ) + self.keep_dim = True + + class TestKeepDim8DReduce(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = (2, 5, 3, 2, 2, 3, 4, 2) + self.axis = (3, 4, 5) + self.keep_dim = True + + class TestReduceAll(TestXPUReduceProdOp): + def initTestCase(self): + self.shape = (5, 6, 2, 10) + self.axis = (0, ) + self.reduce_all = True + + +support_types = get_xpu_op_support_types('reduce_prod') +for stype in support_types: + create_test_class(globals(), XPUTestReduceProdOP, stype) if __name__ == '__main__': unittest.main()