79 lines
3.2 KiB
Python
79 lines
3.2 KiB
Python
# /* ******************************************************************************
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# *
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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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# * See the NOTICE file distributed with this work for additional
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# * information regarding copyright ownership.
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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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import flatbuffers
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class FlatInferenceRequest(object):
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__slots__ = ['_tab']
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@classmethod
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def GetRootAsFlatInferenceRequest(cls, buf, offset):
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n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
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x = FlatInferenceRequest()
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x.Init(buf, n + offset)
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return x
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# FlatInferenceRequest
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def Init(self, buf, pos):
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self._tab = flatbuffers.table.Table(buf, pos)
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# FlatInferenceRequest
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def Id(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
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if o != 0:
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return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
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return 0
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# FlatInferenceRequest
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def Variables(self, j):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
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if o != 0:
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x = self._tab.Vector(o)
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x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
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x = self._tab.Indirect(x)
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from .FlatVariable import FlatVariable
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obj = FlatVariable()
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obj.Init(self._tab.Bytes, x)
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return obj
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return None
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# FlatInferenceRequest
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def VariablesLength(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
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if o != 0:
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return self._tab.VectorLen(o)
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return 0
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# FlatInferenceRequest
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def Configuration(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
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if o != 0:
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x = self._tab.Indirect(o + self._tab.Pos)
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from .FlatConfiguration import FlatConfiguration
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obj = FlatConfiguration()
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obj.Init(self._tab.Bytes, x)
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return obj
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return None
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def FlatInferenceRequestStart(builder): builder.StartObject(3)
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def FlatInferenceRequestAddId(builder, id): builder.PrependInt64Slot(0, id, 0)
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def FlatInferenceRequestAddVariables(builder, variables): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(variables), 0)
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def FlatInferenceRequestStartVariablesVector(builder, numElems): return builder.StartVector(4, numElems, 4)
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def FlatInferenceRequestAddConfiguration(builder, configuration): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(configuration), 0)
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def FlatInferenceRequestEnd(builder): return builder.EndObject()
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