#!/usr/bin/env python3 # Copyright (c) 2021 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 math import numpy as np import cinn from cinn import frontend from cinn import runtime from cinn import lang from cinn import framework from cinn import ir from cinn import common from cinn.poly import create_stages import logging from test_utils import SingleOpTester class OpTest_add_0(SingleOpTester): def create_target_data(self, inputs_data, attrs): [X, Y] = inputs_data return X + Y def test_op(self): attrs = framework.NodeAttr() attrs.set_attr("axis", 0) self.to_test_op( [[100, 32], [100, 32]], [[100, 32]], "elementwise_add", attrs ) class OpTest_add_1(SingleOpTester): def create_target_data(self, inputs_data, attrs): [X, Y] = inputs_data return X + Y def test_op(self): attrs = framework.NodeAttr() attrs.set_attr("axis", 1) self.to_test_op([[3, 2], [2]], [[3, 2]], "elementwise_add", attrs) class OpTest_mul_0(SingleOpTester): def create_target_data(self, inputs_data, attrs): [X, Y] = inputs_data return X * Y def test_op(self): attrs = framework.NodeAttr() attrs.set_attr("axis", 0) self.to_test_op( [[100, 32], [100, 32]], [[100, 32]], "elementwise_mul", attrs ) class OpTest_mul_1(SingleOpTester): def create_target_data(self, inputs_data, attrs): [X, Y] = inputs_data return X * Y def test_op(self): attrs = framework.NodeAttr() attrs.set_attr("axis", 1) self.to_test_op([[3, 2], [2]], [[3, 2]], "elementwise_mul", attrs) class OpTest_scale_0(SingleOpTester): def create_target_data(self, inputs_data, attrs): [X] = inputs_data return X * attrs.attr_store["scale"] + attrs.attr_store["bias"] def test_op(self): attrs = framework.NodeAttr() attrs.set_attr("scale", 0.7) attrs.set_attr("bias", 0.3) self.to_test_op([[100, 32]], [[100, 32]], "scale", attrs) class OpTest_scale_1(SingleOpTester): def create_target_data(self, inputs_data, attrs): [X] = inputs_data return (X + attrs.attr_store["bias"]) * attrs.attr_store["scale"] def test_op(self): attrs = framework.NodeAttr() attrs.set_attr("scale", 0.6) attrs.set_attr("bias", 0.4) attrs.set_attr("bias_after_scale", False) self.to_test_op([[100, 32]], [[100, 32]], "scale", attrs) if __name__ == "__main__": unittest.main()