wehub-resource-sync
107 lines
3.2 KiB
Python
107 lines
3.2 KiB
Python
# Copyright (c) 2018 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 get_test_cover_info import (
|
|
XPUOpTestWrapper,
|
|
create_test_class,
|
|
get_xpu_op_support_types,
|
|
)
|
|
from op_test import convert_float_to_uint16
|
|
from op_test_xpu import XPUOpTest
|
|
|
|
import paddle
|
|
|
|
paddle.enable_static()
|
|
|
|
|
|
class XPUTestRangeOp(XPUOpTestWrapper):
|
|
def __init__(self):
|
|
self.op_name = "range"
|
|
self.use_dynamic_create_class = False
|
|
|
|
class TestRangeOp(XPUOpTest):
|
|
def setUp(self):
|
|
self.set_xpu()
|
|
self.op_type = "range"
|
|
self.init_dtype()
|
|
self.init_config()
|
|
start = np.array([self.case[0]]).astype(
|
|
self.dtype if self.dtype != np.uint16 else np.float32
|
|
)
|
|
end = np.array([self.case[1]]).astype(
|
|
self.dtype if self.dtype != np.uint16 else np.float32
|
|
)
|
|
step = np.array([self.case[2]]).astype(
|
|
self.dtype if self.dtype != np.uint16 else np.float32
|
|
)
|
|
if self.dtype == np.uint16:
|
|
start = convert_float_to_uint16(start)
|
|
end = convert_float_to_uint16(end)
|
|
step = convert_float_to_uint16(step)
|
|
self.inputs = {'Start': start, 'End': end, 'Step': step}
|
|
|
|
self.outputs = {
|
|
'Out': np.arange(
|
|
self.case[0], self.case[1], self.case[2]
|
|
).astype(self.dtype)
|
|
}
|
|
|
|
def set_xpu(self):
|
|
self.__class__.no_need_check_grad = True
|
|
|
|
def init_dtype(self):
|
|
self.dtype = self.in_type
|
|
|
|
def init_config(self):
|
|
self.case = (0, 1, 0.2) if self.dtype == np.float32 else (0, 5, 1)
|
|
|
|
def test_check_output(self):
|
|
place = paddle.XPUPlace(0)
|
|
self.check_output_with_place(place, check_dygraph=False)
|
|
|
|
class TestRangeOpCase0(TestRangeOp):
|
|
def init_config(self):
|
|
self.case = (0, 5, 1)
|
|
|
|
class TestRangeOpCase1(TestRangeOp):
|
|
def init_config(self):
|
|
self.case = (0, 5, 2)
|
|
|
|
class TestRangeOpCase2(TestRangeOp):
|
|
def init_config(self):
|
|
self.case = (10, 1, -2)
|
|
|
|
class TestRangeOpCase3(TestRangeOp):
|
|
def init_config(self):
|
|
self.case = (-1, -10, -2)
|
|
|
|
class TestRangeOpCase4(TestRangeOp):
|
|
def init_config(self):
|
|
self.case = (10, -10, -11)
|
|
|
|
class TestRangeOpCase5(TestRangeOp):
|
|
def init_config(self):
|
|
self.case = (0, 1, 1)
|
|
|
|
|
|
support_types = get_xpu_op_support_types("range")
|
|
for stype in support_types:
|
|
create_test_class(globals(), XPUTestRangeOp, stype)
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|