test_op_broadcast.py

#!/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()