未验证 提交 f858b645 编写于 作者: H houj04 提交者: GitHub

update unittest for reduce_prod op on xpu. test=kunlun (#39671)

* update unittest for reduce_prod op on xpu. test=kunlun

* update unittest for reduce_prod op on xpu. test=kunlun

* bugfix: use dtype instead of float32. test=kunlun
上级 d41836ef
# 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"); # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License. # you may not use this file except in compliance with the License.
...@@ -18,27 +18,36 @@ import unittest ...@@ -18,27 +18,36 @@ import unittest
import numpy as np import numpy as np
import sys import sys
sys.path.append("..") sys.path.append("..")
from op_test_xpu import OpTest, XPUOpTest
from op_test import skip_check_grad_ci
import paddle import paddle
import paddle.fluid.core as core
import paddle.fluid as fluid from op_test import OpTest
from paddle.fluid import compiler, Program, program_guard from op_test_xpu import XPUOpTest
from paddle.fluid.framework import convert_np_dtype_to_dtype_ from xpu.get_test_cover_info import create_test_class, get_xpu_op_support_types, XPUOpTestWrapper
paddle.enable_static()
class TestXPUReduceProdOp(XPUOpTest): class XPUTestReduceProdOP(XPUOpTestWrapper):
def __init__(self):
self.op_name = 'reduce_prod'
self.use_dynamic_create_class = False
class TestXPUReduceProdOp(XPUOpTest):
def setUp(self): def setUp(self):
self.init_op_type() self.place = paddle.XPUPlace(0)
self.initTestCase() self.init_dtype()
self.use_xpu = True self.op_type = 'reduce_prod'
self.use_mkldnn = False self.use_mkldnn = False
self.keep_dim = False
self.reduce_all = False
self.initTestCase()
self.attrs = { self.attrs = {
'dim': self.axis, 'dim': self.axis,
'keep_dim': self.keep_dim, 'keep_dim': self.keep_dim,
'reduce_all': self.reduce_all 'reduce_all': self.reduce_all
} }
self.inputs = {'X': np.random.random(self.shape).astype("float32")} self.inputs = {'X': np.random.random(self.shape).astype(self.dtype)}
if self.attrs['reduce_all']: if self.attrs['reduce_all']:
self.outputs = {'Out': self.inputs['X'].prod()} self.outputs = {'Out': self.inputs['X'].prod()}
else: else:
...@@ -47,109 +56,91 @@ class TestXPUReduceProdOp(XPUOpTest): ...@@ -47,109 +56,91 @@ class TestXPUReduceProdOp(XPUOpTest):
axis=self.axis, keepdims=self.attrs['keep_dim']) 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): def initTestCase(self):
self.shape = (5, 6, 10) self.shape = (5, 6, 10)
self.axis = (0, ) self.axis = (0, )
def init_dtype(self):
self.dtype = self.in_type
class TestProdOp5D(TestXPUReduceProdOp): 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): def initTestCase(self):
self.shape = (1, 2, 5, 6, 10) self.shape = (1, 2, 5, 6, 10)
self.axis = (0, ) self.axis = (0, )
class TestProdOp6D(TestXPUReduceProdOp):
class TestProdOp6D(TestXPUReduceProdOp):
def initTestCase(self): def initTestCase(self):
self.shape = (1, 1, 2, 5, 6, 10) self.shape = (1, 1, 2, 5, 6, 10)
self.axis = (0, ) self.axis = (0, )
class TestProdOp8D(TestXPUReduceProdOp):
class TestProdOp8D(TestXPUReduceProdOp):
def initTestCase(self): def initTestCase(self):
self.shape = (1, 3, 1, 2, 1, 4, 3, 10) self.shape = (1, 3, 1, 2, 1, 4, 3, 10)
self.axis = (0, 3) self.axis = (0, 3)
class Test1DReduce(TestXPUReduceProdOp):
class Test1DReduce(TestXPUReduceProdOp):
def initTestCase(self): def initTestCase(self):
self.shape = 120 self.shape = 120
self.axis = (0, ) self.axis = (0, )
class Test2DReduce0(TestXPUReduceProdOp):
class Test2DReduce0(TestXPUReduceProdOp):
def initTestCase(self): def initTestCase(self):
self.shape = (20, 10) self.shape = (20, 10)
self.axis = (0, ) self.axis = (0, )
class Test2DReduce1(TestXPUReduceProdOp):
class Test2DReduce1(TestXPUReduceProdOp):
def initTestCase(self): def initTestCase(self):
self.shape = (20, 10) self.shape = (20, 10)
self.axis = (1, ) self.axis = (1, )
class Test3DReduce0(TestXPUReduceProdOp):
class Test3DReduce0(TestXPUReduceProdOp):
def initTestCase(self): def initTestCase(self):
self.shape = (5, 6, 7) self.shape = (5, 6, 7)
self.axis = (1, ) self.axis = (1, )
class Test3DReduce1(TestXPUReduceProdOp):
class Test3DReduce1(TestXPUReduceProdOp):
def initTestCase(self): def initTestCase(self):
self.shape = (5, 6, 7) self.shape = (5, 6, 7)
self.axis = (2, ) self.axis = (2, )
class Test3DReduce2(TestXPUReduceProdOp):
class Test3DReduce2(TestXPUReduceProdOp):
def initTestCase(self): def initTestCase(self):
self.shape = (5, 6, 7) self.shape = (5, 6, 7)
self.axis = (-2, ) self.axis = (-2, )
class Test3DReduce3(TestXPUReduceProdOp):
class Test3DReduce3(TestXPUReduceProdOp):
def initTestCase(self): def initTestCase(self):
self.shape = (5, 6, 7) self.shape = (5, 6, 7)
self.axis = (1, 2) self.axis = (1, 2)
class TestKeepDimReduce(TestXPUReduceProdOp):
class TestKeepDimReduce(TestXPUReduceProdOp):
def initTestCase(self): def initTestCase(self):
self.shape = (5, 6, 10) self.shape = (5, 6, 10)
self.axis = (1, ) self.axis = (1, )
self.keep_dim = True self.keep_dim = True
class TestKeepDim8DReduce(TestXPUReduceProdOp):
class TestKeepDim8DReduce(TestXPUReduceProdOp):
def initTestCase(self): def initTestCase(self):
self.shape = (2, 5, 3, 2, 2, 3, 4, 2) self.shape = (2, 5, 3, 2, 2, 3, 4, 2)
self.axis = (3, 4, 5) self.axis = (3, 4, 5)
self.keep_dim = True self.keep_dim = True
class TestReduceAll(TestXPUReduceProdOp):
class TestReduceAll(TestXPUReduceProdOp):
def initTestCase(self): def initTestCase(self):
self.shape = (5, 6, 2, 10) self.shape = (5, 6, 2, 10)
self.axis = (0, ) self.axis = (0, )
self.reduce_all = True 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__': if __name__ == '__main__':
unittest.main() unittest.main()
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册