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"""
Copyright (c) 2018 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 copy
import numpy as np
from mo.front.caffe.extractors.utils import weights_biases
from mo.front.common.extractors.utils import layout_attrs
from mo.front.common.partial_infer.utils import int64_array
from mo.front.extractor import FrontExtractorOp
from mo.graph.graph import Node
from mo.ops.convolution import Convolution
from mo.ops.op import Op
class Convolution1DFrontExtractor(FrontExtractorOp):
op = 'convolution'
enabled = True
@staticmethod
def extract(node: Node) -> bool:
params = node.pb
mapping_rule = {
'output': params.output,
'patch_stride': params.patch_stride,
'bias_term': None,
'pad': int64_array([[0, 0], [0, 0], [0, 0], [0, 0]]),
'pad_spatial_shape': int64_array([[0, 0], [0, 0]]),
'dilation': int64_array([1, 1, 1, 1]),
'kernel': int64_array([1, 1, 1, params.kernel]),
'stride': int64_array([1, 1, 1, params.stride]),
'kernel_spatial': int64_array([1, params.kernel]),
'input_feature_channel': 1,
'output_feature_channel': 0,
'kernel_spatial_idx': [2,3],
'group': 1,
'reshape_kernel': True,
}
mapping_rule.update(layout_attrs())
mapping_rule.update(weights_biases(params.bias_term, params))
if len(params.blobs) > 1 and len(params.blobs[1]) > 0:
mapping_rule['bias_addable'] = True
else:
mapping_rule['bias_addable'] = False
Op.get_op_class_by_name('Convolution').update_node_stat(node, mapping_rule)
return __class__.enabled
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