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- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # 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.
-
- """run function for bitwise_and"""
-
- import numpy as np
- from tests.common.tensorio import compare_tensor
- from akg.utils import kernel_exec as utils
- from tests.common.test_op import bitwise_and
- from tests.common.base import get_rtol_atol
- from akg.utils.dsl_create import produce_shapes
-
-
- def bitwise_and_run(shape1, dtype1, shape2, dtype2, kernel_name, attrs):
- mod = utils.op_build_test(bitwise_and.bitwise_and,
- [shape1, shape2], [dtype1, dtype2],
- kernel_name=kernel_name, attrs=attrs)
- expect, inputs, output = gen_data(shape1, shape2, dtype1, dtype2)
- actual = utils.mod_launch(mod, (*inputs, output), expect=expect)
-
- rtol, atol = get_rtol_atol("bitwise_and", dtype1)
- testcase_result = compare_tensor(
- actual, expect, rtol=rtol, atol=atol, equal_nan=True)
- return input, actual, expect, testcase_result
-
-
- def gen_data(shape1, shape2, dtype1, dtype2):
- int16_min = -32768
- int16_max = 32767
- uint16_min = 0
- uint16_max = 65535
- if dtype1 == "int16":
- x1 = np.random.randint(int16_min, int16_max, size=shape1).astype(dtype1)
- x2 = np.random.randint(int16_min, int16_max, size=shape2).astype(dtype2)
- elif dtype1 == "uint16":
- x1 = np.random.randint(uint16_min, uint16_max, size=shape1).astype(dtype1)
- x2 = np.random.randint(uint16_min, uint16_max, size=shape2).astype(dtype2)
-
- x1_min = int16_min if dtype1 == "int16" else uint16_min
- x1_max = int16_max if dtype1 == "int16" else uint16_max
- x2_min = int16_min if dtype2 == "int16" else uint16_min
- x2_max = int16_max if dtype2 == "int16" else uint16_max
-
- x1 = np.random.randint(x1_min, x1_max, size=shape1).astype(dtype1)
- x2 = np.random.randint(x2_min, x2_max, size=shape2).astype(dtype2)
-
- expect = np.bitwise_and(x1, x2)
- output = np.full(expect.shape, np.nan, dtype1)
- return expect, (x1, x2), output
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