#!/usr/bin/env python3 # Copyright (c) 2023 CINN 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 op_mapper_test import OpMapperTest, logger import paddle class TestRandIntOp(OpMapperTest): def init_input_data(self): self.feed_data = dict() self.shape = [2, 3] self.min = 1 self.max = 5 self.seed = 10 self.dtype = "int32" def set_op_type(self): return "randint" def set_op_inputs(self): return {} def set_op_attrs(self): return { "low": self.min, "high": self.max, "seed": self.seed, "shape": self.shape, "dtype": self.nptype2paddledtype(self.dtype) } def set_op_outputs(self): return {'Out': [self.dtype]} def test_check_results(self): # Due to the different random number generation numbers implemented # in the specific implementation, the random number results generated # by CINN and Paddle are not the same, but they all conform to the # uniform distribution. # self.check_outputs_and_grads() self.build_paddle_program(self.target) self.build_cinn_program(self.target) class TestRandIntCase1(TestRandIntOp): def init_input_data(self): self.feed_data = dict() self.shape = [2, 3, 4] self.min = 1 self.max = 9 self.seed = 10 self.dtype = "int32" class TestRandIntCase2(TestRandIntOp): def init_input_data(self): self.feed_data = dict() self.shape = [2, 3, 4] self.min = 1 self.max = 9 self.seed = 10 self.dtype = "int64" if __name__ == "__main__": unittest.main()