40 lines
1.7 KiB
Python
40 lines
1.7 KiB
Python
# ******************************************************************************
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# Copyright 2017-2020 Intel Corporation
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#
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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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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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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 numpy as np
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import ngraph as ng
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from ngraph.impl import Type
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def test_ctc_loss_props():
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ind_dtype = np.int32
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float_dtype = np.float32
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logits = ng.parameter([2, 100, 80], dtype=float_dtype, name="logits")
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logit_length = ng.parameter([2], dtype=ind_dtype, name="logit_length")
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labels = ng.parameter([2, 100], dtype=ind_dtype, name="labels")
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label_length = ng.parameter([2], dtype=ind_dtype, name="label_length")
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blank_index = ng.parameter([], dtype=ind_dtype, name="blank_index")
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preprocess_collapse_repeated = False
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ctc_merge_repeated = True
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unique = False
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node = ng.ctc_loss(logits, logit_length, labels, label_length, blank_index,
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preprocess_collapse_repeated, ctc_merge_repeated, unique)
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assert node.get_type_name() == "CTCLoss"
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assert node.get_output_size() == 1
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assert list(node.get_output_shape(0)) == [2]
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assert node.get_output_element_type(0) == Type.f32
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