45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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from extensions.middle.LeakyReluPattern import LeakyReLUFusion
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from extensions.middle.pass_separator import PostMiddleStart
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from mo.graph.graph import Graph
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from mo.middle.replacement import MiddleReplacementPattern
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from mo.utils.error import Error
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from mo.utils.find_inputs import find_inputs
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from mo.utils.utils import refer_to_faq_msg
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class CaffeMeanFileProcessing(MiddleReplacementPattern):
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enabled = True
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force_clean_up = True
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graph_condition = [lambda graph: graph.graph['fw'] == 'caffe']
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def run_after(self):
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return [LeakyReLUFusion]
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def run_before(self):
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return [PostMiddleStart]
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def find_and_replace_pattern(self, graph: Graph):
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from mo.front.caffe import loader
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argv = graph.graph['cmd_params']
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original_shapes = graph.graph['original_shapes']
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caffe_pb2 = graph.graph['caffe_pb2']
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del graph.graph['caffe_pb2']
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input_names = find_inputs(graph)
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mf = []
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try:
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if argv.mean_file and len(original_shapes) == 1:
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mf = loader.parse_mean(argv.mean_file, original_shapes[input_names[0]],
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argv.mean_file_offsets, caffe_pb2)
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elif argv.mean_file:
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raise Error('Mean file for topologies with multiple inputs is not supported. ' +
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refer_to_faq_msg(9))
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except ValueError as e:
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raise Error('Cannot load or process mean file: value error {}. ' +
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refer_to_faq_msg(10), str(e)) from e
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graph.graph['mf'] = mf
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graph.graph['input_names'] = input_names
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