# SPDX-License-Identifier: Apache-2.0

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals

import numpy as np  # type: ignore

import onnx
from ..base import Base
from . import expect


class MatMul(Base):

    @staticmethod
    def export():  # type: () -> None
        node = onnx.helper.make_node(
            'MatMul',
            inputs=['a', 'b'],
            outputs=['c'],
        )

        # 2d
        a = np.random.randn(3, 4).astype(np.float32)
        b = np.random.randn(4, 3).astype(np.float32)
        c = np.matmul(a, b)
        expect(node, inputs=[a, b], outputs=[c],
               name='test_matmul_2d')

        # 3d
        a = np.random.randn(2, 3, 4).astype(np.float32)
        b = np.random.randn(2, 4, 3).astype(np.float32)
        c = np.matmul(a, b)
        expect(node, inputs=[a, b], outputs=[c],
               name='test_matmul_3d')

        # 4d
        a = np.random.randn(1, 2, 3, 4).astype(np.float32)
        b = np.random.randn(1, 2, 4, 3).astype(np.float32)
        c = np.matmul(a, b)
        expect(node, inputs=[a, b], outputs=[c],
               name='test_matmul_4d')
