#!/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 from random import seed import cinn import numpy as np from cinn.common import * from cinn.frontend import * from op_test import OpTest, OpTestTool import paddle @OpTestTool.skip_if( not is_compiled_with_cuda(), "x86 test will be skipped due to timeout." ) class TestRandIntOp(OpTest): def setUp(self): self.init_case() def init_case(self): self.shape = [2, 3] self.min = 0 self.max = 5 self.seed = 10 self.dtype = "int32" def build_paddle_program(self, target): out = paddle.randint( shape=self.shape, low=self.min, high=self.max, dtype=self.dtype ) self.paddle_outputs = [out] def build_cinn_program(self, target): builder = NetBuilder("randint") out = builder.randint( self.shape, self.min, self.max, self.seed, self.dtype ) prog = builder.build() res = self.get_cinn_output(prog, target, [], [], [out], passes=[]) self.cinn_outputs = [res[0]] 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_case(self): self.shape = [2, 3, 4] self.min = 0 self.max = 8 self.seed = 10 self.dtype = "int32" class TestRandIntCase2(TestRandIntOp): def init_case(self): self.shape = [2, 3, 4] self.min = -2 self.max = 3 self.seed = 8 self.dtype = "int64" if __name__ == "__main__": unittest.main()