iliya mironov
f670b7cb3a
* Add CTCGreedyDecoder mo support * Update copiright * Update bom file * Add transformation * Fix code style * Fix according to review * Add CTCGreedyDecoder v6 to ConvertPrecision * Hot fix * Add replasment for ctc_greedy_decoder * Fix test * Fix * Update ie transform * Draft ctc lost replaser * Add ctcloss replaser * Update * Refactoring code * Update transformation * Update decoder * Remove comments * Convert seq mask from int to float * Fix unit test * Add dynamic tests * Refactoring code * Fix py code style * update style * Disable ctcgreedydecoder transform for mkldnn plugin * Add some comments * Add transfor code comments * Enable transform from differend plagins * Fix mo * fix tests * Fix comment * Fix convert precition * Update comment * Fix prcition * Refactoring according to reviw * Add ir reder extender * Rename transformation * Update bom file * Fix mo replacer * Fix tests * Move transform to decomp * Add check blank_index * Rafactoring ctcloss * Change dinemic rank check * Fix ctclos extractor * Remove comment * Fix code style * Refactoring pattern matcher for transformation CTCGreedyDecoder * Disavle transform for vpu * Refactoring according to review * Refactoring code * Disable transformation for cldnn * Remove unused code * Reverse transfomation * Fix code style * Hot fix transform * Fix unit tests * Update transform * Enable transform in common pipline * Fix names replasments for mo transformations * Hot fix * Fix
101 lines
4.4 KiB
Python
101 lines
4.4 KiB
Python
"""
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Copyright (C) 2018-2021 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import unittest
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import numpy as np
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from extensions.ops.ctc_greedy_decoder_seq_len import CTCGreedyDecoderSeqLenOp
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from mo.front.common.partial_infer.utils import int64_array
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from mo.graph.graph import Node
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from mo.utils.unittest.graph import build_graph
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nodes_attributes = {'logits': {'kind': 'op'},
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'logits_data': {'shape': None, 'value': None, 'kind': 'data'},
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'seq_mask': {'kind': 'op'},
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'seq_mask_data': {'shape': None, 'value': None, 'kind': 'data'},
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'ctcgreedydecoder_node': {'op': 'CTCGreedyDecoderSeqLen', 'kind': 'op',
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'ctc_merge_repeated': True},
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'output1': {'shape': None, 'value': None, 'kind': 'data'},
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'last_output1': {'shape': None, 'value': None, 'kind': 'op'},
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'output2': {'shape': None, 'value': None, 'kind': 'data'}
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}
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# graph 1
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edges1 = [('logits', 'logits_data'),
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('seq_mask', 'seq_mask_data'),
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('logits_data', 'ctcgreedydecoder_node', {'in': 0}),
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('seq_mask_data', 'ctcgreedydecoder_node', {'in': 1}),
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('ctcgreedydecoder_node', 'output1', {'out': 0}),
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('ctcgreedydecoder_node', 'output2', {'out': 1}),
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('output1', 'last_output1', {'out': 0}),]
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# valid test case
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inputs1 = {'logits_data': {'shape': int64_array([4, 100, 5])},
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'seq_mask_data': {'shape': int64_array([4])}}
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# invalid test case with incorrect rank for the first input tensor
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inputs1_inv = {'logits_data': {'shape': int64_array([4, 100, 5, 6])},
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'seq_mask_data': {'shape': int64_array([4])}}
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# invalid test case with incorrect rank for the second input tensor
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inputs2_inv = {'logits_data': {'shape': int64_array([4, 100, 5])},
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'seq_mask_data': {'shape': int64_array([4, 100])}}
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# invalid test case with incorrect time dimension
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inputs3_inv = {'logits_data': {'shape': int64_array([4, 100, 5])},
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'seq_mask_data': {'shape': int64_array([4, 101])}}
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# invalid test case with incorrect batch dimension
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inputs4_inv = {'logits_data': {'shape': int64_array([4, 100, 5])},
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'seq_mask_data': {'shape': int64_array([14, 100])}}
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class TestCTCGreedyDecoder(unittest.TestCase):
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def test_infer1(self):
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graph = build_graph(nodes_attributes, edges1, inputs1)
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ctcgreedydecoder_node = Node(graph, 'ctcgreedydecoder_node')
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CTCGreedyDecoderSeqLenOp.infer(ctcgreedydecoder_node)
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# prepare reference results
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ref_output1_shape = int64_array([4, 100])
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# get the result
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res_output1_shape = graph.node['output1']['shape']
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self.assertTrue(np.array_equal(ref_output1_shape, res_output1_shape),
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'shapes do not match expected: {} and given: {}'.format(ref_output1_shape, res_output1_shape))
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def test_infer_invalid1(self):
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graph = build_graph(nodes_attributes, edges1, inputs1_inv)
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ctcgreedydecoder_node = Node(graph, 'ctcgreedydecoder_node')
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self.assertRaises(AssertionError, CTCGreedyDecoderSeqLenOp.infer, ctcgreedydecoder_node)
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def test_infer_invalid2(self):
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graph = build_graph(nodes_attributes, edges1, inputs2_inv)
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ctcgreedydecoder_node = Node(graph, 'ctcgreedydecoder_node')
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self.assertRaises(AssertionError, CTCGreedyDecoderSeqLenOp.infer, ctcgreedydecoder_node)
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def test_infer_invalid3(self):
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graph = build_graph(nodes_attributes, edges1, inputs3_inv)
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ctcgreedydecoder_node = Node(graph, 'ctcgreedydecoder_node')
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self.assertRaises(AssertionError, CTCGreedyDecoderSeqLenOp.infer, ctcgreedydecoder_node)
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def test_infer_invalid4(self):
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graph = build_graph(nodes_attributes, edges1, inputs4_inv)
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ctcgreedydecoder_node = Node(graph, 'ctcgreedydecoder_node')
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self.assertRaises(AssertionError, CTCGreedyDecoderSeqLenOp.infer, ctcgreedydecoder_node)
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