wehub-resource-sync
315 lines
9.0 KiB
Python
315 lines
9.0 KiB
Python
# Copyright (c) 2022 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 get_test_cover_info import (
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XPUOpTestWrapper,
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create_test_class,
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get_xpu_op_support_types,
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)
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from op_test import OpTest
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from op_test_xpu import XPUOpTest
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import paddle
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paddle.enable_static()
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# ----------------- TEST OP: BitwiseAnd -------------------- #
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class XPUTestBitwiseAnd(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'bitwise_and'
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class XPUTestBitwiseAndBase(XPUOpTest):
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def setUp(self):
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self.place = paddle.XPUPlace(0)
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self.dtype = self.in_type
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self.init_case()
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self.set_case()
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def set_case(self):
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self.op_type = 'bitwise_and'
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# special range for bool dtype
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if self.dtype == np.bool_:
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self.low = 0
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self.high = 2
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x = np.random.randint(
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self.low, self.high, self.x_shape, dtype=self.dtype
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)
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y = np.random.randint(
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self.low, self.high, self.y_shape, dtype=self.dtype
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)
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out = np.bitwise_and(x, y)
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self.attrs = {'use_xpu': True}
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self.inputs = {
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'X': OpTest.np_dtype_to_base_dtype(x),
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'Y': OpTest.np_dtype_to_base_dtype(y),
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}
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self.outputs = {'Out': out}
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def init_case(self):
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self.x_shape = [2, 3, 4, 5]
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self.y_shape = [2, 3, 4, 5]
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self.low = -100
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self.high = 100
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def test_check_output(self):
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self.check_output_with_place(self.place)
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def test_check_grad(self):
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pass
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class XPUTestBitwiseAndCase1(XPUTestBitwiseAndBase):
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def init_case(self):
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self.x_shape = [4, 5]
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self.y_shape = [2, 3, 4, 5]
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self.low = -100
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self.high = 100
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class XPUTestBitwiseAndCase2(XPUTestBitwiseAndBase):
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def init_case(self):
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self.x_shape = [2, 3, 4, 5]
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self.y_shape = [4, 1]
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self.low = -100
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self.high = 100
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class XPUTestBitwiseAndCase3(XPUTestBitwiseAndBase):
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def init_case(self):
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self.x_shape = [2, 3, 4, 5]
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self.y_shape = [2, 3, 4, 5]
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self.low = 0
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self.high = 100
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support_types = get_xpu_op_support_types('bitwise_and')
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for stype in support_types:
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create_test_class(globals(), XPUTestBitwiseAnd, stype)
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# -------------- TEST OP: BitwiseOr ----------------- #
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class XPUTestBitwiseOr(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'bitwise_or'
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class XPUTestBitwiseOrBase(XPUOpTest):
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def setUp(self):
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self.place = paddle.XPUPlace(0)
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self.dtype = self.in_type
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self.init_case()
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self.set_case()
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def set_case(self):
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self.op_type = 'bitwise_or'
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# special range for bool dtype
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if self.dtype == np.bool_:
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self.low = 0
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self.high = 2
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x = np.random.randint(
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self.low, self.high, self.x_shape, dtype=self.dtype
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)
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y = np.random.randint(
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self.low, self.high, self.y_shape, dtype=self.dtype
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)
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out = np.bitwise_or(x, y)
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self.attrs = {'use_xpu': True}
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self.inputs = {
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'X': OpTest.np_dtype_to_base_dtype(x),
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'Y': OpTest.np_dtype_to_base_dtype(y),
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}
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self.outputs = {'Out': out}
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def init_case(self):
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self.x_shape = [2, 3, 4, 5]
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self.y_shape = [2, 3, 4, 5]
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self.low = -100
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self.high = 100
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def test_check_output(self):
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self.check_output_with_place(self.place)
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def test_check_grad(self):
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pass
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class XPUTestBitwiseOrCase1(XPUTestBitwiseOrBase):
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def init_case(self):
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self.x_shape = [4, 5]
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self.y_shape = [2, 3, 4, 5]
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self.low = -100
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self.high = 100
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class XPUTestBitwiseOrCase2(XPUTestBitwiseOrBase):
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def init_case(self):
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self.x_shape = [2, 3, 4, 5]
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self.y_shape = [4, 1]
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self.low = -100
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self.high = 100
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class XPUTestBitwiseOrCase3(XPUTestBitwiseOrBase):
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def init_case(self):
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self.x_shape = [2, 3, 4, 5]
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self.y_shape = [2, 3, 4, 5]
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self.low = 0
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self.high = 100
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support_types = get_xpu_op_support_types('bitwise_or')
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for stype in support_types:
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create_test_class(globals(), XPUTestBitwiseOr, stype)
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# --------------- TEST OP: BitwiseXor ---------------- #
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class XPUTestBitwiseXor(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'bitwise_xor'
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class XPUTestBitwiseXorBase(XPUOpTest):
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def setUp(self):
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self.place = paddle.XPUPlace(0)
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self.dtype = self.in_type
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self.init_case()
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self.set_case()
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def set_case(self):
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self.op_type = 'bitwise_xor'
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# special case for bool dtype
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if self.dtype == np.bool_:
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self.low = 0
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self.high = 2
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x = np.random.randint(
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self.low, self.high, self.x_shape, dtype=self.dtype
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)
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y = np.random.randint(
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self.low, self.high, self.y_shape, dtype=self.dtype
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)
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out = np.bitwise_xor(x, y)
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self.attrs = {'use_xpu': True}
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self.inputs = {
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'X': OpTest.np_dtype_to_base_dtype(x),
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'Y': OpTest.np_dtype_to_base_dtype(y),
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}
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self.outputs = {'Out': out}
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def init_case(self):
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self.x_shape = [2, 3, 4, 5]
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self.y_shape = [2, 3, 4, 5]
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self.low = -100
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self.high = 100
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def test_check_output(self):
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self.check_output_with_place(self.place)
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def test_check_grad(self):
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pass
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class XPUTestBitwiseXorCase1(XPUTestBitwiseXorBase):
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def init_case(self):
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self.x_shape = [4, 5]
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self.y_shape = [2, 3, 4, 5]
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self.low = -100
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self.high = 100
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class XPUTestBitwiseXorCase2(XPUTestBitwiseXorBase):
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def init_case(self):
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self.x_shape = [2, 3, 4, 5]
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self.y_shape = [4, 1]
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self.low = -100
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self.high = 100
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class XPUTestBitwiseXorCase3(XPUTestBitwiseXorBase):
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def init_case(self):
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self.x_shape = [2, 3, 4, 5]
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self.y_shape = [2, 3, 4, 5]
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self.low = 0
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self.high = 100
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support_types = get_xpu_op_support_types('bitwise_xor')
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for stype in support_types:
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create_test_class(globals(), XPUTestBitwiseXor, stype)
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# ---------------- TEST OP: BitwiseNot ------------------ #
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class XPUTestBitwiseNot(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'bitwise_not'
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class XPUTestBitwiseNotBase(XPUOpTest):
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def setUp(self):
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self.place = paddle.XPUPlace(0)
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self.init_case()
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self.set_case()
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def set_case(self):
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self.op_type = 'bitwise_not'
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x = np.random.randint(
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self.low, self.high, self.x_shape, dtype=self.dtype
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)
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out = np.bitwise_not(x)
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self.attrs = {'use_xpu': True}
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self.inputs = {'X': OpTest.np_dtype_to_base_dtype(x)}
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self.outputs = {'Out': out}
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def init_case(self):
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self.dtype = np.int32
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self.x_shape = [2, 3, 4, 5]
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self.low = -100
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self.high = 100
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def test_check_output(self):
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self.check_output_with_place(self.place)
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def test_check_grad(self):
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pass
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class XPUTestBitwiseNotBool(XPUTestBitwiseNotBase):
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def setUp(self):
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self.place = paddle.XPUPlace(0)
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self.init_case()
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self.set_case()
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def set_case(self):
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self.op_type = 'bitwise_not'
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x = np.random.choice([True, False], self.x_shape)
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out = np.bitwise_not(x)
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self.attrs = {'use_xpu': True}
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self.inputs = {'X': x}
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self.outputs = {'Out': out}
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def init_case(self):
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self.dtype = np.bool_
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self.x_shape = [2, 3, 4, 5]
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support_types = get_xpu_op_support_types('bitwise_not')
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for stype in support_types:
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create_test_class(globals(), XPUTestBitwiseNot, stype)
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if __name__ == '__main__':
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unittest.main()
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