2 Copyright (c) 2018-2019 Intel Corporation
4 Licensed under the Apache License, Version 2.0 (the "License");
5 you may not use this file except in compliance with the License.
6 You may obtain a copy of the License at
8 http://www.apache.org/licenses/LICENSE-2.0
10 Unless required by applicable law or agreed to in writing, software
11 distributed under the License is distributed on an "AS IS" BASIS,
12 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 See the License for the specific language governing permissions and
14 limitations under the License.
18 from mo.front.extractor import FrontExtractorOp
19 from mo.front.tf.extractors.utils import tf_dtype_extractor
20 from mo.ops.op import Op
23 class FIFOQueueV2Extractor(FrontExtractorOp):
29 shapes = node.pb.attr['shapes'].list.shape
30 tf_types = node.pb.attr['component_types'].list.type
33 extracted_types.append(tf_dtype_extractor(t))
35 for shape_pb in shapes:
38 result_shapes.append(np.array([1, shape[0].size, shape[1].size, shape[2].size], dtype=np.int64))
40 result_shapes.append(np.array([dim.size for dim in shape], dtype=np.int64))
41 Op.update_node_stat(node, {'shapes': result_shapes, 'types': extracted_types})
42 return __class__.enabled