163 lines
6.8 KiB
Python
163 lines
6.8 KiB
Python
"""
|
|
Copyright (C) 2020 Intel Corporation
|
|
|
|
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 numpy as np
|
|
|
|
from extensions.front.ATenToEmbeddingBag import AtenToEmbeddingBag
|
|
from mo.front.common.partial_infer.utils import int64_array
|
|
from mo.utils.ir_engine.compare_graphs import compare_graphs
|
|
from mo.utils.unittest.graph import build_graph, result, \
|
|
regular_op, const
|
|
|
|
|
|
class AtenToEmbeddingBagTest(unittest.TestCase):
|
|
def test(self):
|
|
nodes = {
|
|
**const('weights_inp', np.random.randn(100, 2)),
|
|
**regular_op('indices_inp', {'type': 'Parameter'}),
|
|
**regular_op('offsets_inp', {'type': 'Parameter'}),
|
|
**regular_op('aten', {'type': None, 'kind': 'op', 'op': 'ATen', 'operator': 'embedding_bag', 'mode': 0,
|
|
'name': 'my_aten'}),
|
|
|
|
**regular_op('emb_bag', {'type': 'EmbeddingBagOffsetsSum', 'kind': 'op', 'op': 'EmbeddingBagOffsetsSum'}),
|
|
**result('result'),
|
|
}
|
|
edges = [('weights_inp', 'aten'),
|
|
('indices_inp', 'aten'),
|
|
('offsets_inp', 'aten'),
|
|
('aten', 'result'),
|
|
]
|
|
graph = build_graph(nodes, edges)
|
|
|
|
graph.graph['layout'] = 'NCHW'
|
|
graph.stage = 'front'
|
|
|
|
edges_ref = [('weights_inp', 'emb_bag'),
|
|
('indices_inp', 'emb_bag'),
|
|
('offsets_inp', 'emb_bag'),
|
|
('emb_bag', 'result'),
|
|
]
|
|
|
|
graph_ref = build_graph(nodes, edges_ref)
|
|
|
|
AtenToEmbeddingBag().find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test_packed(self):
|
|
nodes = {
|
|
**const('weights_inp', np.random.randn(100, 4)),
|
|
**regular_op('indices_inp', {'type': 'Parameter'}),
|
|
**regular_op('aten', {'type': None, 'kind': 'op', 'op': 'ATen', 'operator': 'embedding_bag', 'mode': 0,
|
|
'name': 'my_aten'}),
|
|
|
|
**regular_op('emb_bag', {'type': 'EmbeddingBagPackedSum', 'kind': 'op',
|
|
'op': 'EmbeddingBagPackedSum'}),
|
|
**result('result'),
|
|
}
|
|
edges = [('weights_inp', 'aten'),
|
|
('indices_inp', 'aten'),
|
|
('aten', 'result'),
|
|
]
|
|
graph = build_graph(nodes, edges)
|
|
|
|
graph.graph['layout'] = 'NCHW'
|
|
graph.stage = 'front'
|
|
|
|
edges_ref = [('weights_inp', 'emb_bag'),
|
|
('indices_inp', 'emb_bag'),
|
|
('emb_bag', 'result'),
|
|
]
|
|
|
|
graph_ref = build_graph(nodes, edges_ref)
|
|
|
|
AtenToEmbeddingBag().find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test_per_sample_weights(self):
|
|
nodes = {
|
|
**const('weights_inp', np.random.randn(100, 2)),
|
|
**regular_op('indices_inp', {'type': 'Parameter'}),
|
|
**regular_op('offsets_inp', {'type': 'Parameter'}),
|
|
**regular_op('per_sample_weights', {'type': 'Parameter'}),
|
|
**regular_op('aten', {'type': None, 'kind': 'op', 'op': 'ATen', 'operator': 'embedding_bag', 'mode': 0,
|
|
'name': 'my_aten'}),
|
|
|
|
**regular_op('emb_bag', {'type': 'EmbeddingBagOffsetsSum', 'kind': 'op',
|
|
'op': 'EmbeddingBagOffsetsSum'}),
|
|
**regular_op('WeightsRank', {'type': None, 'kind': 'op', 'op': 'Rank'}),
|
|
**regular_op('WeightsRank/axis', {'type': 'Add', 'kind': 'op', 'op': 'Add'}),
|
|
**regular_op('gather1', {'type': 'Gather', 'kind': 'op', 'op': 'Gather'}),
|
|
**regular_op('gather2', {'type': 'Gather', 'kind': 'op', 'op': 'Gather'}),
|
|
**regular_op('WeightsShape', {'type': 'ShapeOf', 'kind': 'op', 'op': 'ShapeOf'}),
|
|
**regular_op('Broadcast', {'type': 'Broadcast', 'kind': 'op', 'op': 'Broadcast'}),
|
|
**regular_op('Unsqueeze', {'type': 'Unsqueeze', 'kind': 'op', 'op': 'Unsqueeze'}),
|
|
**const('WeightsShape/Axis', int64_array(0)),
|
|
**const('zero1', int64_array(0)),
|
|
**const('zero2', int64_array(0)),
|
|
**const('Unsqueeze/value', int64_array(0)),
|
|
**const('Broadcast/value', int64_array(0)),
|
|
**const('neg', int64_array(-1)),
|
|
**regular_op('Concat', {'type': 'Concat', 'kind': 'op', 'op': 'Concat'}),
|
|
**result('result'),
|
|
}
|
|
edges = [('weights_inp', 'aten'),
|
|
('indices_inp', 'aten'),
|
|
('offsets_inp', 'aten'),
|
|
('per_sample_weights', 'aten'),
|
|
('aten', 'result'),
|
|
]
|
|
graph = build_graph(nodes, edges, nodes_with_edges_only=True)
|
|
|
|
graph.graph['layout'] = 'NCHW'
|
|
graph.stage = 'front'
|
|
|
|
edges_ref = [('weights_inp', 'Concat', {'in': 0, 'out': 0}),
|
|
('weights_inp', 'WeightsShape', {'in': 0, 'out': 0}),
|
|
('weights_inp', 'WeightsRank', {'in': 0, 'out': 0}),
|
|
('WeightsRank', 'WeightsRank/axis'),
|
|
('neg', 'WeightsRank/axis'),
|
|
('WeightsShape', 'gather1', {'in': 0, 'out': 0}),
|
|
('WeightsRank/axis', 'gather1'),
|
|
('WeightsShape/Axis', 'gather1'),
|
|
('WeightsShape', 'gather2', {'in': 0, 'out': 0}),
|
|
('zero1', 'gather2'),
|
|
('zero2', 'gather2'),
|
|
('Broadcast/value', 'Broadcast'),
|
|
('gather1', 'Broadcast'),
|
|
('Broadcast', 'Unsqueeze'),
|
|
('Unsqueeze/value', 'Unsqueeze'),
|
|
('Unsqueeze', 'Concat'),
|
|
('Concat', 'emb_bag'),
|
|
('indices_inp', 'emb_bag'),
|
|
('offsets_inp', 'emb_bag'),
|
|
('gather2', 'emb_bag'),
|
|
('per_sample_weights', 'emb_bag'),
|
|
('emb_bag', 'result'),
|
|
]
|
|
|
|
graph_ref = build_graph(nodes, edges_ref, nodes_with_edges_only=True)
|
|
|
|
AtenToEmbeddingBag().find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
|
|
self.assertTrue(flag, resp)
|