447 lines
31 KiB
Python
447 lines
31 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import unittest
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import numpy as np
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from extensions.middle.InsertSelect import AddSelectBeforeMemoryNodePattern
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from mo.front.common.partial_infer.utils import int64_array
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from mo.utils.ir_engine.compare_graphs import compare_graphs
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from unit_tests.utils.graph import build_graph
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class InsertSelectTests(unittest.TestCase):
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# graph have no splices - selects should not be inserted
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def test_insert_select_0(self):
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graph = build_graph({
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'placeholder_1': {'kind': 'op', 'op': 'Parameter'},
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'placeholder_data_1': {'kind': 'data', 'shape': [1, 13]},
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'memory': {'kind': 'op', 'op': 'Assign'},
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},
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[('placeholder_1', 'placeholder_data_1'),
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('placeholder_data_1', 'memory')
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],
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nodes_with_edges_only=True)
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ref_graph = graph.copy()
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AddSelectBeforeMemoryNodePattern().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, ref_graph, 'memory')
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self.assertTrue(flag, resp)
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# graph contains 1 splice with context length 5, should be inserted select with memory as counter with length 5
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def test_insert_select_1(self):
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graph = build_graph({
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'placeholder_1': {'kind': 'op', 'op': 'Parameter'},
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'placeholder_data_1': {'kind': 'data', 'shape': [1, 13]},
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'splice_1': {'kind': 'op', 'op': 'Splice', 'context': np.array([-2, -1, 0, 1, 2])},
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'splice_data_1': {'kind': 'data', 'shape': [1, 13]},
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'placeholder_2': {'kind': 'op', 'op': None},
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'placeholder_data_2': {'kind': 'data', 'shape': [1, 26]},
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'memory': {'kind': 'op', 'op': 'Assign', 'index': 0},
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},
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[('placeholder_1', 'placeholder_data_1'),
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('placeholder_data_1', 'splice_1'), ('splice_1', 'splice_data_1'),
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('splice_data_1', 'placeholder_2'), ('placeholder_2', 'placeholder_data_2'),
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('placeholder_data_2', 'memory')
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],
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nodes_with_edges_only=True)
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AddSelectBeforeMemoryNodePattern().find_and_replace_pattern(graph)
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ref_graph = build_graph({
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'placeholder_1': {'kind': 'op', 'op': 'Parameter'},
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'placeholder_data_1': {'kind': 'data', 'shape': [1, 13]},
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'splice_1': {'kind': 'op', 'op': 'Splice', 'context': np.array([-2, -1, 0, 1, 2])},
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'splice_data_1': {'kind': 'data', 'shape': [1, 13]},
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'placeholder_2': {'kind': 'op', 'op': None},
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'second_dim_mem_1': {'kind': 'op', 'op': 'Const', 'value': int64_array([5])},
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'second_dim_data_mem_1': {'kind': 'data'},
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'gather_shape_mem_1': {'kind': 'op', 'op': 'Concat'},
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'gather_shape_data_mem_1': {'kind': 'data'},
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'fill_value': {'kind': 'op', 'op': 'Const', 'value': int64_array([0])},
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'fill_value_data': {'kind': 'data'},
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'broadcast_mem_1': {'kind': 'op', 'op': 'Broadcast'},
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'broadcast_data_mem_1': {'kind': 'data'},
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'shape': {'kind': 'op', 'op': 'ShapeOf'},
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'shape_data': {'kind': 'data'},
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'crop_batch': {'kind': 'op', 'op': 'Crop', 'offset': int64_array([0])},
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'crop_batch_data': {'kind': 'data'},
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'crop_batch_dim': {'kind': 'op', 'op': 'Const', 'value': int64_array([1])},
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'crop_batch_dim_data': {'kind': 'data'},
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'second_dim': {'kind': 'op', 'op': 'Const', 'value': int64_array([5])},
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'second_dim_data': {'kind': 'data'},
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'gather_shape': {'kind': 'op', 'op': 'Concat'},
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'gather_shape_data': {'kind': 'data'},
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'fill_value_ones': {'kind': 'op', 'op': 'Const', 'value': int64_array([0])},
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'fill_value_data_ones': {'kind': 'data'},
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'broadcast': {'kind': 'op', 'op': 'Broadcast'},
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'broadcast_data': {'kind': 'data'},
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'second_dim_mem_2': {'kind': 'op', 'op': 'Const', 'value': int64_array([26])},
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'second_dim_data_mem_2': {'kind': 'data'},
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'gather_shape_mem_2': {'kind': 'op', 'op': 'Concat'},
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'gather_shape_data_mem_2': {'kind': 'data'},
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'fill_value_ones_2': {'kind': 'op', 'op': 'Const', 'value': int64_array([0])},
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'fill_value_data_ones_2': {'kind': 'data'},
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'broadcast_mem_2': {'kind': 'op', 'op': 'Broadcast'},
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'broadcast_data_mem_2': {'kind': 'data'},
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'memory_in': {'kind': 'op', 'op': 'ReadValue', 'shape': int64_array([5])},
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'memory_in_data': {'kind': 'data'},
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'memory_out': {'kind': 'op', 'op': 'Assign', 'shape': int64_array([5])},
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'memory_out_data': {'kind': 'data'},
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'result': {'kind': 'op', 'op': 'Result'},
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'crop_in': {'kind': 'op', 'op': 'Crop', 'axis': 1, 'offset': 1, 'dim': 4},
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'crop_in_data': {'kind': 'data'},
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'crop_out': {'kind': 'op', 'op': 'Crop', 'axis': 1, 'offset': 0, 'dim': 1},
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'crop_out_data': {'kind': 'data'},
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'equal': {'kind': 'op', 'op': 'Equal'},
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'equal_data': {'kind': 'data'},
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'select': {'kind': 'op', 'op': 'Select'},
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'select_out_data': {'kind': 'data', 'shape': [1, 26]},
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'const_0': {'kind': 'op', 'op': 'Const'},
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'const_0_data': {'kind': 'data'},
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'concat': {'kind': 'op', 'op': 'Concat'},
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'concat_data': {'kind': 'data'},
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'placeholder_data_2': {'kind': 'data', 'shape': [1, 26]},
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'memory': {'kind': 'op', 'op': 'Assign'},
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},
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[('placeholder_1', 'placeholder_data_1'),
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('placeholder_data_1', 'splice_1'), ('splice_1', 'splice_data_1'),
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('splice_data_1', 'placeholder_2'), ('placeholder_2', 'placeholder_data_2'),
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('placeholder_data_2', 'select', {'in': 1}),
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('second_dim_mem_1', 'second_dim_data_mem_1'),
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('second_dim_data_mem_1', 'gather_shape_mem_1', {'in': 1}),
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('crop_batch_data', 'gather_shape_mem_1', {'in': 0}),
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('gather_shape_mem_1', 'gather_shape_data_mem_1'),
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('fill_value', 'fill_value_data'),
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('fill_value_data', 'broadcast_mem_1', {'in': 0}),
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('gather_shape_data_mem_1', 'broadcast_mem_1', {'in': 1}),
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('broadcast_mem_1', 'broadcast_data_mem_1'),
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('broadcast_data_mem_1', 'memory_in'),
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('memory_in', 'memory_in_data'), ('memory_in_data', 'crop_in'),
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('crop_in', 'crop_in_data'), ('crop_in_data', 'concat', {'in': 0}),
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('second_dim_mem_2', 'second_dim_data_mem_2'),
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('second_dim_data_mem_2', 'gather_shape_mem_2', {'in': 1}),
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('crop_batch_data', 'gather_shape_mem_2', {'in': 0}),
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('gather_shape_mem_2', 'gather_shape_data_mem_2'),
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('fill_value_ones_2', 'fill_value_data_ones_2'),
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('fill_value_data_ones_2', 'broadcast_mem_2', {'in': 0}),
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('gather_shape_data_mem_2', 'broadcast_mem_2', {'in': 1}),
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('broadcast_mem_2', 'broadcast_data_mem_2'),
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('broadcast_data_mem_2', 'concat', {'in': 1}),
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('concat', 'concat_data'), ('concat_data', 'memory_out'),
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('memory_out', 'memory_out_data'), ('memory_out_data', 'result'),
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('concat_data', 'crop_out'), ('crop_out', 'crop_out_data'),
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('crop_out_data', 'equal', {'in': 1}), ('broadcast_data_mem_2', 'equal', {'in': 0}),
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('equal', 'equal_data'),
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('equal_data', 'select', {'in': 0}),
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('placeholder_data_2', 'shape'), ('shape', 'shape_data'),
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('shape_data', 'crop_batch'), ('crop_batch', 'crop_batch_data'),
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('crop_batch_dim', 'crop_batch_dim_data'),
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('crop_batch_dim_data', 'crop_batch', {'in': 1}),
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('second_dim', 'second_dim_data'), ('second_dim_data', 'gather_shape', {'in': 1}),
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('crop_batch_data', 'gather_shape', {'in': 0}), ('gather_shape', 'gather_shape_data'),
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('fill_value_ones', 'fill_value_data_ones'),
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('fill_value_data_ones', 'broadcast', {'in': 0}),
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('gather_shape_data', 'broadcast', {'in': 1}), ('broadcast', 'broadcast_data'),
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('broadcast_data', 'select', {'in': 2}),
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('select', 'select_out_data'),
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('select_out_data', 'memory')
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],
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nodes_with_edges_only=True
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)
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(flag, resp) = compare_graphs(graph, ref_graph, 'memory')
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self.assertTrue(flag, resp)
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# graph contains 1 splice with context length 5 on the path to memory and 1 out of path,
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# should be inserted select with memory as counter with length 5
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def test_insert_select_2(self):
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graph = build_graph({
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'placeholder_1': {'kind': 'op', 'op': 'Parameter'},
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'placeholder_data_1': {'kind': 'data', 'shape': [1, 13]},
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'splice_1': {'kind': 'op', 'op': 'Splice', 'context': np.array([-2, -1, 0, 1, 2])},
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'splice_data_1': {'kind': 'data', 'shape': [1, 65]},
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'splice_2': {'kind': 'op', 'op': 'Splice', 'context': np.array([-1, 0, 1])},
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'splice_data_2': {'kind': 'data', 'shape': [1, 39]},
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'placeholder_2': {'kind': 'op', 'op': None},
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'placeholder_data_2': {'kind': 'data', 'shape': [1, 26]},
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'memory': {'kind': 'op', 'op': 'Assign'},
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},
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[('placeholder_1', 'placeholder_data_1'),
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('placeholder_data_1', 'splice_1'), ('splice_1', 'splice_data_1'),
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('placeholder_data_1', 'splice_2'), ('splice_2', 'splice_data_2'),
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('splice_data_1', 'placeholder_2'), ('placeholder_2', 'placeholder_data_2'),
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('placeholder_data_2', 'memory')
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],
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nodes_with_edges_only=True)
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AddSelectBeforeMemoryNodePattern().find_and_replace_pattern(graph)
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ref_graph = build_graph({
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'placeholder_1': {'kind': 'op', 'op': 'Parameter'},
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'placeholder_data_1': {'kind': 'data', 'shape': [1, 13]},
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'splice_1': {'kind': 'op', 'op': 'Splice', 'context': np.array([-2, -1, 0, 1, 2])},
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'splice_data_1': {'kind': 'data', 'shape': [1, 65]},
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'splice_2': {'kind': 'op', 'op': 'Splice', 'context': np.array([-1, 0, 1])},
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'splice_data_2': {'kind': 'data', 'shape': [1, 39]},
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'placeholder_2': {'kind': 'op', 'op': None},
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'second_dim_mem_1': {'kind': 'op', 'op': 'Const', 'value': int64_array([5])},
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'second_dim_data_mem_1': {'kind': 'data'},
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'gather_shape_mem_1': {'kind': 'op', 'op': 'Concat'},
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'gather_shape_data_mem_1': {'kind': 'data'},
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'fill_value': {'kind': 'op', 'op': 'Const', 'value': int64_array([0])},
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'fill_value_data': {'kind': 'data'},
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'broadcast_mem_1': {'kind': 'op', 'op': 'Broadcast'},
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'broadcast_data_mem_1': {'kind': 'data'},
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'shape': {'kind': 'op', 'op': 'ShapeOf'},
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'shape_data': {'kind': 'data'},
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'crop_batch': {'kind': 'op', 'op': 'Crop', 'offset': int64_array([0])},
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'crop_batch_data': {'kind': 'data'},
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'crop_batch_dim': {'kind': 'op', 'op': 'Const', 'value': int64_array([1])},
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'crop_batch_dim_data': {'kind': 'data'},
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'second_dim': {'kind': 'op', 'op': 'Const', 'value': int64_array([5])},
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'second_dim_data': {'kind': 'data'},
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'gather_shape': {'kind': 'op', 'op': 'Concat'},
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'gather_shape_data': {'kind': 'data'},
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'fill_value_ones': {'kind': 'op', 'op': 'Const', 'value': int64_array([0])},
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'fill_value_data_ones': {'kind': 'data'},
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'broadcast': {'kind': 'op', 'op': 'Broadcast'},
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'broadcast_data': {'kind': 'data'},
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'second_dim_mem_2': {'kind': 'op', 'op': 'Const', 'value': int64_array([26])},
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'second_dim_data_mem_2': {'kind': 'data'},
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'gather_shape_mem_2': {'kind': 'op', 'op': 'Concat'},
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'gather_shape_data_mem_2': {'kind': 'data'},
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'fill_value_ones_2': {'kind': 'op', 'op': 'Const', 'value': int64_array([0])},
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'fill_value_data_ones_2': {'kind': 'data'},
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'broadcast_mem_2': {'kind': 'op', 'op': 'Broadcast'},
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'broadcast_data_mem_2': {'kind': 'data'},
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'memory_in': {'kind': 'op', 'op': 'ReadValue', 'shape': int64_array([5])},
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'memory_in_data': {'kind': 'data'},
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'memory_out': {'kind': 'op', 'op': 'Assign', 'shape': int64_array([5])},
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'memory_out_data': {'kind': 'data'},
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'result': {'kind': 'op', 'op': 'Result'},
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'crop_in': {'kind': 'op', 'op': 'Crop', 'axis': 1, 'offset': 1, 'dim': 4},
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'crop_in_data': {'kind': 'data'},
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'crop_out': {'kind': 'op', 'op': 'Crop', 'axis': 1, 'offset': 0, 'dim': 1},
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'crop_out_data': {'kind': 'data'},
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'equal': {'kind': 'op', 'op': 'Equal'},
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'equal_data': {'kind': 'data'},
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'select': {'kind': 'op', 'op': 'Select'},
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'select_out_data': {'kind': 'data', 'shape': [1, 26]},
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'const_0': {'kind': 'op', 'op': 'Const'},
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'const_0_data': {'kind': 'data'},
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'concat': {'kind': 'op', 'op': 'Concat'},
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'concat_data': {'kind': 'data'},
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'placeholder_data_2': {'kind': 'data', 'shape': [1, 26]},
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'memory': {'kind': 'op', 'op': 'Assign'},
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},
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[('placeholder_1', 'placeholder_data_1'),
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('placeholder_data_1', 'splice_1'), ('splice_1', 'splice_data_1'),
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('placeholder_data_1', 'splice_2'), ('splice_2', 'splice_data_2'),
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('splice_data_1', 'placeholder_2'), ('placeholder_2', 'placeholder_data_2'),
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('placeholder_data_2', 'select', {'in': 1}),
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('second_dim_mem_1', 'second_dim_data_mem_1'),
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('second_dim_data_mem_1', 'gather_shape_mem_1', {'in': 1}),
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('crop_batch_data', 'gather_shape_mem_1', {'in': 0}),
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('gather_shape_mem_1', 'gather_shape_data_mem_1'),
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('fill_value', 'fill_value_data'),
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('fill_value_data', 'broadcast_mem_1', {'in': 0}),
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('gather_shape_data_mem_1', 'broadcast_mem_1', {'in': 1}),
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('broadcast_mem_1', 'broadcast_data_mem_1'),
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('broadcast_data_mem_1', 'memory_in'),
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('memory_in', 'memory_in_data'), ('memory_in_data', 'crop_in'),
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('crop_in', 'crop_in_data'), ('crop_in_data', 'concat', {'in': 0}),
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('second_dim_mem_2', 'second_dim_data_mem_2'),
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('second_dim_data_mem_2', 'gather_shape_mem_2', {'in': 1}),
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('crop_batch_data', 'gather_shape_mem_2', {'in': 0}),
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('gather_shape_mem_2', 'gather_shape_data_mem_2'),
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('fill_value_ones_2', 'fill_value_data_ones_2'),
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('fill_value_data_ones_2', 'broadcast_mem_2', {'in': 0}),
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('gather_shape_data_mem_2', 'broadcast_mem_2', {'in': 1}),
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('broadcast_mem_2', 'broadcast_data_mem_2'),
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('broadcast_data_mem_2', 'concat', {'in': 1}),
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('concat', 'concat_data'), ('concat_data', 'memory_out'),
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('memory_out', 'memory_out_data'), ('memory_out_data', 'result'),
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('concat_data', 'crop_out'), ('crop_out', 'crop_out_data'),
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('crop_out_data', 'equal', {'in': 1}), ('broadcast_data_mem_2', 'equal', {'in': 0}),
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('equal', 'equal_data'),
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('equal_data', 'select', {'in': 0}),
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('placeholder_data_2', 'shape'), ('shape', 'shape_data'),
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('shape_data', 'crop_batch'), ('crop_batch', 'crop_batch_data'),
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('crop_batch_dim', 'crop_batch_dim_data'),
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('crop_batch_dim_data', 'crop_batch', {'in': 1}),
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('second_dim', 'second_dim_data'), ('second_dim_data', 'gather_shape', {'in': 1}),
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('crop_batch_data', 'gather_shape', {'in': 0}), ('gather_shape', 'gather_shape_data'),
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('fill_value_ones', 'fill_value_data_ones'),
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('fill_value_data_ones', 'broadcast', {'in': 0}),
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('gather_shape_data', 'broadcast', {'in': 1}), ('broadcast', 'broadcast_data'),
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('broadcast_data', 'select', {'in': 2}),
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('select', 'select_out_data'),
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('select_out_data', 'memory')
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],
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nodes_with_edges_only=True
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)
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(flag, resp) = compare_graphs(graph, ref_graph, 'memory')
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self.assertTrue(flag, resp)
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# graph contains 2 splices with sum context length 8 on the path to memory,
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# should be inserted select with memory as counter with length 7
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def test_insert_select_3(self):
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graph = build_graph({
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'placeholder_1': {'kind': 'op', 'op': 'Parameter'},
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'placeholder_data_1': {'kind': 'data', 'shape': [1, 13]},
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'splice_1': {'kind': 'op', 'op': 'Splice', 'context': np.array([-2, -1, 0, 1, 2])},
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'splice_data_1': {'kind': 'data', 'shape': [1, 65]},
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'splice_2': {'kind': 'op', 'op': 'Splice', 'context': np.array([-1, 0, 1])},
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'splice_data_2': {'kind': 'data', 'shape': [1, 39]},
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'placeholder_2': {'kind': 'op', 'op': None},
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'placeholder_data_2': {'kind': 'data', 'shape': [1, 26]},
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'memory': {'kind': 'op', 'op': 'Assign', 'index': 0},
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},
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[('placeholder_1', 'placeholder_data_1'),
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('placeholder_data_1', 'splice_1'), ('splice_1', 'splice_data_1'),
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('splice_data_1', 'splice_2'), ('splice_2', 'splice_data_2'),
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('splice_data_2', 'placeholder_2'), ('placeholder_2', 'placeholder_data_2'),
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('placeholder_data_2', 'memory')
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],
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nodes_with_edges_only=True)
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AddSelectBeforeMemoryNodePattern().find_and_replace_pattern(graph)
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ref_graph = build_graph({
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'placeholder_1': {'kind': 'op', 'op': 'Parameter'},
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'placeholder_data_1': {'kind': 'data', 'shape': [1, 13]},
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'splice_1': {'kind': 'op', 'op': 'Splice', 'context': np.array([-2, -1, 0, 1, 2])},
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'splice_data_1': {'kind': 'data', 'shape': [1, 65]},
|
|
'splice_2': {'kind': 'op', 'op': 'Splice', 'context': np.array([-1, 0, 1])},
|
|
'splice_data_2': {'kind': 'data', 'shape': [1, 39]},
|
|
'placeholder_2': {'kind': 'op', 'op': None},
|
|
|
|
'second_dim_mem_1': {'kind': 'op', 'op': 'Const', 'value': int64_array([5])},
|
|
'second_dim_data_mem_1': {'kind': 'data'},
|
|
'gather_shape_mem_1': {'kind': 'op', 'op': 'Concat'},
|
|
'gather_shape_data_mem_1': {'kind': 'data'},
|
|
'fill_value': {'kind': 'op', 'op': 'Const', 'value': int64_array([0])},
|
|
'fill_value_data': {'kind': 'data'},
|
|
'broadcast_mem_1': {'kind': 'op', 'op': 'Broadcast'},
|
|
'broadcast_data_mem_1': {'kind': 'data'},
|
|
|
|
'shape': {'kind': 'op', 'op': 'ShapeOf'},
|
|
'shape_data': {'kind': 'data'},
|
|
'crop_batch': {'kind': 'op', 'op': 'Crop', 'offset': int64_array([0])},
|
|
'crop_batch_data': {'kind': 'data'},
|
|
'crop_batch_dim': {'kind': 'op', 'op': 'Const', 'value': int64_array([1])},
|
|
'crop_batch_dim_data': {'kind': 'data'},
|
|
'second_dim': {'kind': 'op', 'op': 'Const', 'value': int64_array([5])},
|
|
'second_dim_data': {'kind': 'data'},
|
|
'gather_shape': {'kind': 'op', 'op': 'Concat'},
|
|
'gather_shape_data': {'kind': 'data'},
|
|
'fill_value_ones': {'kind': 'op', 'op': 'Const', 'value': int64_array([0])},
|
|
'fill_value_data_ones': {'kind': 'data'},
|
|
'broadcast': {'kind': 'op', 'op': 'Broadcast'},
|
|
'broadcast_data': {'kind': 'data'},
|
|
|
|
'second_dim_mem_2': {'kind': 'op', 'op': 'Const', 'value': int64_array([26])},
|
|
'second_dim_data_mem_2': {'kind': 'data'},
|
|
'gather_shape_mem_2': {'kind': 'op', 'op': 'Concat'},
|
|
'gather_shape_data_mem_2': {'kind': 'data'},
|
|
'fill_value_ones_2': {'kind': 'op', 'op': 'Const', 'value': int64_array([0])},
|
|
'fill_value_data_ones_2': {'kind': 'data'},
|
|
'broadcast_mem_2': {'kind': 'op', 'op': 'Broadcast'},
|
|
'broadcast_data_mem_2': {'kind': 'data'},
|
|
|
|
'memory_in': {'kind': 'op', 'op': 'ReadValue', 'shape': int64_array([5])},
|
|
'memory_in_data': {'kind': 'data'},
|
|
'memory_out': {'kind': 'op', 'op': 'Assign', 'shape': int64_array([5])},
|
|
'memory_out_data': {'kind': 'data'},
|
|
'result': {'kind': 'op', 'op': 'Result'},
|
|
'crop_in': {'kind': 'op', 'op': 'Crop', 'axis': 1, 'offset': 1, 'dim': 4},
|
|
'crop_in_data': {'kind': 'data'},
|
|
'crop_out': {'kind': 'op', 'op': 'Crop', 'axis': 1, 'offset': 0, 'dim': 1},
|
|
'crop_out_data': {'kind': 'data'},
|
|
'equal': {'kind': 'op', 'op': 'Equal'},
|
|
'equal_data': {'kind': 'data'},
|
|
'select': {'kind': 'op', 'op': 'Select'},
|
|
'select_out_data': {'kind': 'data', 'shape': [1, 26]},
|
|
'const_0': {'kind': 'op', 'op': 'Const'},
|
|
'const_0_data': {'kind': 'data'},
|
|
'concat': {'kind': 'op', 'op': 'Concat'},
|
|
'concat_data': {'kind': 'data'},
|
|
|
|
'placeholder_data_2': {'kind': 'data', 'shape': [1, 26]},
|
|
'memory': {'kind': 'op', 'op': 'Assign', 'index': 0},
|
|
},
|
|
[('placeholder_1', 'placeholder_data_1'),
|
|
('placeholder_data_1', 'splice_1'), ('splice_1', 'splice_data_1'),
|
|
('splice_data_1', 'splice_2'), ('splice_2', 'splice_data_2'),
|
|
('splice_data_2', 'placeholder_2'), ('placeholder_2', 'placeholder_data_2'),
|
|
('placeholder_data_2', 'select', {'in': 1}),
|
|
|
|
('second_dim_mem_1', 'second_dim_data_mem_1'),
|
|
('second_dim_data_mem_1', 'gather_shape_mem_1', {'in': 1}),
|
|
('crop_batch_data', 'gather_shape_mem_1', {'in': 0}),
|
|
('gather_shape_mem_1', 'gather_shape_data_mem_1'),
|
|
('fill_value', 'fill_value_data'),
|
|
('fill_value_data', 'broadcast_mem_1', {'in': 0}),
|
|
('gather_shape_data_mem_1', 'broadcast_mem_1', {'in': 1}),
|
|
('broadcast_mem_1', 'broadcast_data_mem_1'),
|
|
('broadcast_data_mem_1', 'memory_in'),
|
|
|
|
('memory_in', 'memory_in_data'), ('memory_in_data', 'crop_in'),
|
|
('crop_in', 'crop_in_data'), ('crop_in_data', 'concat', {'in': 0}),
|
|
|
|
('second_dim_mem_2', 'second_dim_data_mem_2'),
|
|
('second_dim_data_mem_2', 'gather_shape_mem_2', {'in': 1}),
|
|
('crop_batch_data', 'gather_shape_mem_2', {'in': 0}),
|
|
('gather_shape_mem_2', 'gather_shape_data_mem_2'),
|
|
('fill_value_ones_2', 'fill_value_data_ones_2'),
|
|
('fill_value_data_ones_2', 'broadcast_mem_2', {'in': 0}),
|
|
('gather_shape_data_mem_2', 'broadcast_mem_2', {'in': 1}),
|
|
('broadcast_mem_2', 'broadcast_data_mem_2'),
|
|
('broadcast_data_mem_2', 'concat', {'in': 1}),
|
|
|
|
('concat', 'concat_data'), ('concat_data', 'memory_out'),
|
|
('memory_out', 'memory_out_data'), ('memory_out_data', 'result'),
|
|
('concat_data', 'crop_out'), ('crop_out', 'crop_out_data'),
|
|
('crop_out_data', 'equal', {'in': 1}), ('broadcast_data_mem_2', 'equal', {'in': 0}),
|
|
('equal', 'equal_data'),
|
|
('equal_data', 'select', {'in': 0}),
|
|
|
|
('placeholder_data_2', 'shape'), ('shape', 'shape_data'),
|
|
('shape_data', 'crop_batch'), ('crop_batch', 'crop_batch_data'),
|
|
('crop_batch_dim', 'crop_batch_dim_data'),
|
|
('crop_batch_dim_data', 'crop_batch', {'in': 1}),
|
|
('second_dim', 'second_dim_data'), ('second_dim_data', 'gather_shape', {'in': 1}),
|
|
('crop_batch_data', 'gather_shape', {'in': 0}), ('gather_shape', 'gather_shape_data'),
|
|
('fill_value_ones', 'fill_value_data_ones'),
|
|
('fill_value_data_ones', 'broadcast', {'in': 0}),
|
|
('gather_shape_data', 'broadcast', {'in': 1}), ('broadcast', 'broadcast_data'),
|
|
('broadcast_data', 'select', {'in': 2}),
|
|
|
|
('select', 'select_out_data'),
|
|
('select_out_data', 'memory')
|
|
],
|
|
nodes_with_edges_only=True
|
|
)
|
|
|
|
(flag, resp) = compare_graphs(graph, ref_graph, 'memory')
|
|
self.assertTrue(flag, resp)
|