52 lines
2.0 KiB
Python
52 lines
2.0 KiB
Python
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################################################################################
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# Copyright (c) 2015-2018 Skymind, Inc.
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#
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# This program and the accompanying materials are made available under the
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# terms of the Apache License, Version 2.0 which is available at
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# https://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, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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#
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# SPDX-License-Identifier: Apache-2.0
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################################################################################
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from .java_classes import KerasModelImport
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from .ndarray import array
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class KerasModel(object):
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def __init__(self, filepath):
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KerasModelImport = KerasModelImport()
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try:
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self.model = KerasModelImport.importKerasModelAndWeights(filepath)
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self.is_sequential = False
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except Exception:
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self.model = KerasModelImport.importKerasSequentialModelAndWeights(filepath)
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self.is_sequential = True
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def __call__(self, input):
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if self.is_sequential:
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if type(input) in [list, tuple]:
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n = len(input)
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if n != 1:
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err = 'Expected 1 input to sequential model. Received {}.'.format(n)
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raise ValueError(err)
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input = input[0]
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input = array(input).array
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out = self.model.output(input, False)
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out = array(out)
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return out
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else:
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if not isinstance(input, list):
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input = [input]
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input = [array(x).array for x in input]
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out = self.model.output(False, *input)
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out = [array(x) for x in out]
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if len(out) == 1:
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return out[0]
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return out
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