test_op_transform.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 logging
import math
import os
import unittest

import cinn
import numpy as np
from cinn import common, framework, frontend, ir, lang, runtime
from cinn.poly import create_stages
from test_utils import SingleOpTester

import paddle
import paddle.static as static

os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"


def matmul_util(inputs_data, input_shape, trans_a, trans_b, alpha):
    main_program = static.Program()
    paddle.enable_static()
    with static.program_guard(main_program, static.Program()):
        [input_x, input_y] = inputs_data
        x = static.data(name='x', shape=input_shape[0], dtype='float32')
        y = static.data(name='y', shape=input_shape[1], dtype='float32')
        output = paddle.matmul(x, y, trans_a, trans_b)
        output = paddle.scale(output, scale=alpha)
        exe = static.Executor(paddle.CPUPlace())
        exe.run(static.default_startup_program())
        (res,) = exe.run(
            static.default_main_program(),
            feed={'x': input_x, 'y': input_y},
            fetch_list=[output],
        )
        return res


class OpTest_matmul_0(SingleOpTester):
    def init_testcase(self):
        self.input_shape = [[100, 32], [32, 100]]
        self.output_shape = [[100, 100], [100, 100]]
        self.trans_a = False
        self.trans_b = False
        self.alpha = 1.0
        self.attrs = framework.NodeAttr()
        self.attrs.set_attr("trans_a", self.trans_a)
        self.attrs.set_attr("trans_b", self.trans_b)
        self.attrs.set_attr("alpha", self.alpha)

    def create_target_data(self, inputs_data, attrs):
        return matmul_util(
            inputs_data,
            self.input_shape,
            self.trans_a,
            self.trans_b,
            self.alpha,
        )

    def test_op(self):
        self.init_testcase()
        self.to_test_op(
            self.input_shape, self.output_shape, "matmul", self.attrs, 0
        )


class OpTest_matmul_1(SingleOpTester):
    def init_testcase(self):
        self.input_shape = [[100, 32], [100, 32]]
        self.output_shape = [[100, 100], [2, 32, 50]]
        self.trans_a = False
        self.trans_b = True
        self.alpha = 2.0
        self.attrs = framework.NodeAttr()
        self.attrs.set_attr("trans_a", self.trans_a)
        self.attrs.set_attr("trans_b", self.trans_b)
        self.attrs.set_attr("alpha", self.alpha)

    def create_target_data(self, inputs_data, attrs):
        return matmul_util(
            inputs_data,
            self.input_shape,
            self.trans_a,
            self.trans_b,
            self.alpha,
        )

    def test_op(self):
        self.init_testcase()
        self.to_test_op(
            self.input_shape, self.output_shape, "matmul", self.attrs, 0
        )


class OpTest_matmul_2(SingleOpTester):
    def init_testcase(self):
        self.input_shape = [[2, 3, 100, 32], [2, 3, 100, 32]]
        self.output_shape = [[2, 3, 100, 100], [2, 3, 2, 100, 16]]
        self.trans_a = False
        self.trans_b = True
        self.alpha = 2.0
        self.attrs = framework.NodeAttr()
        self.attrs.set_attr("trans_a", self.trans_a)
        self.attrs.set_attr("trans_b", self.trans_b)
        self.attrs.set_attr("alpha", self.alpha)

    def create_target_data(self, inputs_data, attrs):
        return matmul_util(
            inputs_data,
            self.input_shape,
            self.trans_a,
            self.trans_b,
            self.alpha,
        )

    def test_op(self):
        self.init_testcase()
        self.to_test_op(
            self.input_shape, self.output_shape, "matmul", self.attrs, 0
        )


class OpTest_matmul_3(SingleOpTester):
    def init_testcase(self):
        self.input_shape = [[32, 100], [32, 100]]
        self.output_shape = [[100, 100], [2, 100, 16]]
        self.trans_a = True
        self.trans_b = False
        self.alpha = 2.0
        self.attrs = framework.NodeAttr()
        self.attrs.set_attr("trans_a", self.trans_a)
        self.attrs.set_attr("trans_b", self.trans_b)
        self.attrs.set_attr("alpha", self.alpha)

    def create_target_data(self, inputs_data, attrs):
        return matmul_util(
            inputs_data,
            self.input_shape,
            self.trans_a,
            self.trans_b,
            self.alpha,
        )

    def test_op(self):
        self.init_testcase()
        self.to_test_op(
            self.input_shape, self.output_shape, "matmul", self.attrs, 0
        )


class OpTest_matmul_4(SingleOpTester):
    def init_testcase(self):
        self.input_shape = [[32, 100], [100]]
        self.output_shape = [[32], [2, 100, 16]]
        self.trans_a = False
        self.trans_b = False
        self.alpha = 2.0
        self.attrs = framework.NodeAttr()
        self.attrs.set_attr("trans_a", self.trans_a)
        self.attrs.set_attr("trans_b", self.trans_b)
        self.attrs.set_attr("alpha", self.alpha)

    def create_target_data(self, inputs_data, attrs):
        return matmul_util(
            inputs_data,
            self.input_shape,
            self.trans_a,
            self.trans_b,
            self.alpha,
        )

    def test_op(self):
        self.init_testcase()
        self.to_test_op(
            self.input_shape, self.output_shape, "matmul", self.attrs, 0
        )


class OpTest_matmul_5(SingleOpTester):
    def init_testcase(self):
        self.input_shape = [[100], [100]]
        self.output_shape = [[1], [1, 100, 1]]
        self.trans_a = False
        self.trans_b = False
        self.alpha = 2.0
        self.attrs = framework.NodeAttr()
        self.attrs.set_attr("trans_a", self.trans_a)
        self.attrs.set_attr("trans_b", self.trans_b)
        self.attrs.set_attr("alpha", self.alpha)

    def create_target_data(self, inputs_data, attrs):
        return matmul_util(
            inputs_data,
            self.input_shape,
            self.trans_a,
            self.trans_b,
            self.alpha,
        )

    def test_op(self):
        self.init_testcase()
        self.to_test_op(
            self.input_shape, self.output_shape, "matmul", self.attrs, 0
        )


class OpTest_matmul_6(SingleOpTester):
    def init_testcase(self):
        self.input_shape = [[32, 1], [1, 100]]
        self.output_shape = [[32, 100], [2, 1, 50]]
        self.trans_a = False
        self.trans_b = False
        self.alpha = 2.0
        self.attrs = framework.NodeAttr()
        self.attrs.set_attr("trans_a", self.trans_a)
        self.attrs.set_attr("trans_b", self.trans_b)
        self.attrs.set_attr("alpha", self.alpha)

    def create_target_data(self, inputs_data, attrs):
        return matmul_util(
            inputs_data,
            self.input_shape,
            self.trans_a,
            self.trans_b,
            self.alpha,
        )

    def test_op(self):
        self.init_testcase()
        self.to_test_op(
            self.input_shape, self.output_shape, "matmul", self.attrs, 0
        )


if __name__ == "__main__":
    unittest.main()