7e40136c3c
* LayerNorm(PyTorch/HuggingFace pattern)->MVN+Mul+Add. Improves perf on BERT by 5% * deducing the across_channels from axes passed to the MVN op. axes are normalized. if no axes is specified, falling back to the (previously) default across_channel value Co-authored-by: myshevts <maim.y.shevtsov@intel.com>
84 lines
3.3 KiB
Python
84 lines
3.3 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 math import sqrt
|
|
|
|
from extensions.front.LayerNorm import LayerNorm
|
|
from mo.utils.ir_engine.compare_graphs import compare_graphs
|
|
from mo.utils.unittest.graph import build_graph
|
|
|
|
nodes_attributes_mvn = {
|
|
'inp': {'kind': 'op', 'op': 'AnyOp'},
|
|
'pool0': {'kind': 'op', 'op': 'ReduceMean'},
|
|
'pool1': {'kind': 'op', 'op': 'ReduceMean'},
|
|
'pow': {'kind': 'op', 'op': 'Pow'},
|
|
'div': {'kind': 'op', 'op': 'Div'},
|
|
'sqrt': {'kind': 'op', 'op': 'Pow'},
|
|
'add': {'kind': 'op', 'op': 'Add'},
|
|
'sub': {'kind': 'op', 'op': 'Sub'},
|
|
'add_param': {'kind': 'op', 'op': 'Const'},
|
|
'pow_param': {'kind': 'op', 'op': 'Const'},
|
|
'pool0_param': {'kind': 'op', 'op': 'Const'},
|
|
'pool1_param': {'kind': 'op', 'op': 'Const'},
|
|
'out': {'kind': 'op', 'op': 'AnyOp'},
|
|
}
|
|
|
|
nodes_attributes_ref = {
|
|
'inp': {'kind': 'op', 'op': 'AnyOp'},
|
|
'mvn': {'kind': 'op', 'op': 'MVN'},
|
|
'out': {'kind': 'op', 'op': 'AnyOp'},
|
|
}
|
|
|
|
|
|
class TestMVNPatternReplacement(unittest.TestCase):
|
|
def test_MVNPatternReplacement_test_1(self):
|
|
graph = build_graph(nodes_attributes_mvn,
|
|
[('inp', 'pool0', {'out': 0}),
|
|
('inp', 'sub', {'out': 0}),
|
|
('pool0', 'sub'),
|
|
('sub', 'pow'),
|
|
('pow', 'pool1'),
|
|
('pool1', 'add'),
|
|
('add', 'sqrt'),
|
|
('sqrt', 'div'),
|
|
('sub', 'div'),
|
|
('div', 'out'),
|
|
('pow_param', 'sqrt'),
|
|
('add_param', 'add'),
|
|
('pool0_param', 'pool0'),
|
|
('pool1_param', 'pool1'),
|
|
],
|
|
{'pow_param': {'shape': np.array([1]), 'value': np.array(0.5)},
|
|
'add_param': {'shape': np.array([1]), 'value': np.array(1e-06)},
|
|
'pool0_param': {'shape': np.array([1]), 'value': np.array(-1)},
|
|
'pool1_param': {'shape': np.array([1]), 'value': np.array(-1)},
|
|
},
|
|
nodes_with_edges_only=True)
|
|
graph_ref = build_graph(nodes_attributes_ref,
|
|
[('inp', 'mvn'),
|
|
('mvn', 'out')],
|
|
{}, nodes_with_edges_only=True)
|
|
graph.stage = 'front'
|
|
|
|
replacer = LayerNorm()
|
|
replacer.find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'out', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|