# Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

import unittest

import numpy as np

from openvino.tools.mo.front.tf.pad_tf_to_pad import PadTFToPad
from openvino.tools.mo.front.common.partial_infer.utils import int64_array, float_array
from openvino.tools.mo.utils.ir_engine.compare_graphs import compare_graphs
from unit_tests.utils.graph import build_graph, const

nodes_attributes = {
    'placeholder': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
    'tfpad': {'type': None, 'kind': 'op', 'op': 'TFPad', 'mode': 'constant', 'name': 'tfpad_name'},
    **const('paddings', int64_array([1, 2, 3, 4, 5, 6]).reshape([3, 2])),
    **const('fill', float_array(5.75)),
    'result': {'type': 'Result', 'value': None, 'kind': 'op', 'op': 'Result'},

    # new Pad layer and sub-graph
    'pad': {'type': 'Pad', 'kind': 'op', 'op': 'Pad', 'mode': 'constant'},
    'transpose': {'type': 'Transpose', 'kind': 'op', 'op': 'Transpose'},
    **const('transpose_order', int64_array([1, 0])),
    'split': {'type': 'Split', 'kind': 'op', 'op': 'Split', 'num_splits': 2},
    **const('split_axis', int64_array(0)),
    'squeeze_1': {'type': 'Squeeze', 'kind': 'op', 'op': 'Squeeze'},
    **const('squeeze_1_axis', int64_array([0])),
    'squeeze_2': {'type': 'Squeeze', 'kind': 'op', 'op': 'Squeeze'},
    **const('squeeze_2_axis', int64_array([0])),
    'convert_like': {'type': 'ConvertLike', 'kind': 'op', 'op': 'ConvertLike'},

    **const('pad_fill', np.array(0.0)),
}

common_edges = [('placeholder', 'pad', {'in': 0, 'out': 0}),

                ('paddings', 'transpose', {'in': 0, 'out': 0}),
                ('transpose_order', 'transpose', {'in': 1, 'out': 0}),

                ('transpose', 'split', {'in': 0, 'out': 0}),
                ('split_axis', 'split', {'in': 1, 'out': 0}),

                ('split', 'squeeze_1', {'in': 0, 'out': 0}),
                ('squeeze_1_axis', 'squeeze_1', {'in': 1, 'out': 0}),

                ('split', 'squeeze_2', {'in': 0, 'out': 1}),
                ('squeeze_2_axis', 'squeeze_2', {'in': 1, 'out': 0}),

                ('squeeze_1', 'pad', {'in': 1, 'out': 0}),
                ('squeeze_2', 'pad', {'in': 2, 'out': 0}),

                ('pad', 'result')
                ]


class PadTFToPadTest(unittest.TestCase):
    def _run_test(self, graph, graph_ref):
        graph.graph['layout'] = 'NHWC'
        graph.stage = 'front'

        replacer = PadTFToPad()
        replacer.find_and_replace_pattern(graph)

        (flag, resp) = compare_graphs(graph, graph_ref, 'result', check_op_attrs=True)
        self.assertTrue(graph.node[graph.get_nodes_with_attributes(op='Pad')[0]]['name'] == 'tfpad_name')
        self.assertTrue(flag, resp)

    def test_2_inputs(self):
        graph = build_graph(nodes_attributes,
                            [('placeholder', 'tfpad', {'in': 0, 'out': 0}),
                             ('paddings', 'tfpad', {'in': 1, 'out': 0}),
                             ('tfpad', 'result', {'in': 0, 'out': 0}),
                             ],
                            {}, nodes_with_edges_only=True)
        graph.get_op_nodes(op='TFPad')[0].add_input_port(2)

        graph_ref = build_graph(nodes_attributes, common_edges,
                                {}, nodes_with_edges_only=True)
        self._run_test(graph, graph_ref)

    def test_3_inputs(self):
        graph = build_graph(nodes_attributes,
                            [('placeholder', 'tfpad', {'in': 0, 'out': 0}),
                             ('paddings', 'tfpad', {'in': 1, 'out': 0}),
                             ('fill', 'tfpad', {'in': 2, 'out': 0}),
                             ('tfpad', 'result', {'in': 0, 'out': 0}),
                             ],
                            {}, nodes_with_edges_only=True)

        graph_ref = build_graph(nodes_attributes, common_edges + [('fill', 'pad', {'in': 3, 'out': 0})],
                                {}, nodes_with_edges_only=True)

        self._run_test(graph, graph_ref)

    def test_3_inputs_with_non_constant_pad(self):
        updated_paddings_attrs = {'type': 'Parameter', 'op': 'Parameter', 'value': None}
        graph = build_graph(nodes_attributes,
                            [('placeholder', 'tfpad', {'in': 0, 'out': 0}),
                             ('paddings', 'tfpad', {'in': 1, 'out': 0}),
                             ('fill', 'tfpad', {'in': 2, 'out': 0}),
                             ('tfpad', 'result', {'in': 0, 'out': 0}),
                             ],
                            {'paddings': updated_paddings_attrs}, nodes_with_edges_only=True)

        graph_ref = build_graph(nodes_attributes, common_edges + [('fill', 'pad', {'in': 3, 'out': 0})],
                                {'paddings': updated_paddings_attrs}, nodes_with_edges_only=True)

        self._run_test(graph, graph_ref)

    def test_2_inputs_non_constant_mode(self):
        graph = build_graph(nodes_attributes,
                            [('placeholder', 'tfpad', {'in': 0, 'out': 0}),
                             ('paddings', 'tfpad', {'in': 1, 'out': 0}),
                             ('tfpad', 'result', {'in': 0, 'out': 0}),
                             ],
                            {'tfpad': {'mode': 'reflect'}}, nodes_with_edges_only=True)
        graph.get_op_nodes(op='TFPad')[0].add_input_port(2)

        graph_ref = build_graph(nodes_attributes, common_edges,
                                {'pad': {'mode': 'reflect'}}, nodes_with_edges_only=True)
        self._run_test(graph, graph_ref)
