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# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class StablehloConvolutionOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = StablehloConvolutionOptions()
x.Init(buf, n + offset)
return x
@classmethod
def GetRootAsStablehloConvolutionOptions(cls, buf, offset=0):
"""This method is deprecated. Please switch to GetRootAs."""
return cls.GetRootAs(buf, offset)
@classmethod
def StablehloConvolutionOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
# StablehloConvolutionOptions
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# StablehloConvolutionOptions
def WindowStrides(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Int64Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 8))
return 0
# StablehloConvolutionOptions
def WindowStridesAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
return 0
# StablehloConvolutionOptions
def WindowStridesLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.VectorLen(o)
return 0
# StablehloConvolutionOptions
def WindowStridesIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
return o == 0
# StablehloConvolutionOptions
def Padding(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Int64Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 8))
return 0
# StablehloConvolutionOptions
def PaddingAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
return 0
# StablehloConvolutionOptions
def PaddingLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.VectorLen(o)
return 0
# StablehloConvolutionOptions
def PaddingIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
return o == 0
# StablehloConvolutionOptions
def LhsDilation(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Int64Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 8))
return 0
# StablehloConvolutionOptions
def LhsDilationAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
return 0
# StablehloConvolutionOptions
def LhsDilationLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.VectorLen(o)
return 0
# StablehloConvolutionOptions
def LhsDilationIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
return o == 0
# StablehloConvolutionOptions
def RhsDilation(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Int64Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 8))
return 0
# StablehloConvolutionOptions
def RhsDilationAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
return 0
# StablehloConvolutionOptions
def RhsDilationLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.VectorLen(o)
return 0
# StablehloConvolutionOptions
def RhsDilationIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
return o == 0
# StablehloConvolutionOptions
def WindowReversal(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.BoolFlags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
return 0
# StablehloConvolutionOptions
def WindowReversalAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.BoolFlags, o)
return 0
# StablehloConvolutionOptions
def WindowReversalLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
if o != 0:
return self._tab.VectorLen(o)
return 0
# StablehloConvolutionOptions
def WindowReversalIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
return o == 0
# StablehloConvolutionOptions
def InputBatchDimension(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
return 0
# StablehloConvolutionOptions
def InputFeatureDimension(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
return 0
# StablehloConvolutionOptions
def InputSpatialDimensions(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Int64Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 8))
return 0
# StablehloConvolutionOptions
def InputSpatialDimensionsAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
return 0
# StablehloConvolutionOptions
def InputSpatialDimensionsLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
if o != 0:
return self._tab.VectorLen(o)
return 0
# StablehloConvolutionOptions
def InputSpatialDimensionsIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
return o == 0
# StablehloConvolutionOptions
def KernelInputFeatureDimension(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(20))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
return 0
# StablehloConvolutionOptions
def KernelOutputFeatureDimension(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(22))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
return 0
# StablehloConvolutionOptions
def KernelSpatialDimensions(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(24))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Int64Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 8))
return 0
# StablehloConvolutionOptions
def KernelSpatialDimensionsAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(24))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
return 0
# StablehloConvolutionOptions
def KernelSpatialDimensionsLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(24))
if o != 0:
return self._tab.VectorLen(o)
return 0
# StablehloConvolutionOptions
def KernelSpatialDimensionsIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(24))
return o == 0
# StablehloConvolutionOptions
def OutputBatchDimension(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(26))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
return 0
# StablehloConvolutionOptions
def OutputFeatureDimension(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(28))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
return 0
# StablehloConvolutionOptions
def OutputSpatialDimensions(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(30))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Int64Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 8))
return 0
# StablehloConvolutionOptions
def OutputSpatialDimensionsAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(30))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
return 0
# StablehloConvolutionOptions
def OutputSpatialDimensionsLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(30))
if o != 0:
return self._tab.VectorLen(o)
return 0
# StablehloConvolutionOptions
def OutputSpatialDimensionsIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(30))
return o == 0
# StablehloConvolutionOptions
def FeatureGroupCount(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(32))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
return 0
# StablehloConvolutionOptions
def BatchGroupCount(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(34))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
return 0
# StablehloConvolutionOptions
def PrecisionConfig(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(36))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Uint32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
return 0
# StablehloConvolutionOptions
def PrecisionConfigAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(36))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint32Flags, o)
return 0
# StablehloConvolutionOptions
def PrecisionConfigLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(36))
if o != 0:
return self._tab.VectorLen(o)
return 0
# StablehloConvolutionOptions
def PrecisionConfigIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(36))
return o == 0
def StablehloConvolutionOptionsStart(builder): builder.StartObject(17)
def Start(builder):
return StablehloConvolutionOptionsStart(builder)
def StablehloConvolutionOptionsAddWindowStrides(builder, windowStrides): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(windowStrides), 0)
def AddWindowStrides(builder, windowStrides):
return StablehloConvolutionOptionsAddWindowStrides(builder, windowStrides)
def StablehloConvolutionOptionsStartWindowStridesVector(builder, numElems): return builder.StartVector(8, numElems, 8)
def StartWindowStridesVector(builder, numElems):
return StablehloConvolutionOptionsStartWindowStridesVector(builder, numElems)
def StablehloConvolutionOptionsAddPadding(builder, padding): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(padding), 0)
def AddPadding(builder, padding):
return StablehloConvolutionOptionsAddPadding(builder, padding)
def StablehloConvolutionOptionsStartPaddingVector(builder, numElems): return builder.StartVector(8, numElems, 8)
def StartPaddingVector(builder, numElems):
return StablehloConvolutionOptionsStartPaddingVector(builder, numElems)
def StablehloConvolutionOptionsAddLhsDilation(builder, lhsDilation): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(lhsDilation), 0)
def AddLhsDilation(builder, lhsDilation):
return StablehloConvolutionOptionsAddLhsDilation(builder, lhsDilation)
def StablehloConvolutionOptionsStartLhsDilationVector(builder, numElems): return builder.StartVector(8, numElems, 8)
def StartLhsDilationVector(builder, numElems):
return StablehloConvolutionOptionsStartLhsDilationVector(builder, numElems)
def StablehloConvolutionOptionsAddRhsDilation(builder, rhsDilation): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(rhsDilation), 0)
def AddRhsDilation(builder, rhsDilation):
return StablehloConvolutionOptionsAddRhsDilation(builder, rhsDilation)
def StablehloConvolutionOptionsStartRhsDilationVector(builder, numElems): return builder.StartVector(8, numElems, 8)
def StartRhsDilationVector(builder, numElems):
return StablehloConvolutionOptionsStartRhsDilationVector(builder, numElems)
def StablehloConvolutionOptionsAddWindowReversal(builder, windowReversal): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(windowReversal), 0)
def AddWindowReversal(builder, windowReversal):
return StablehloConvolutionOptionsAddWindowReversal(builder, windowReversal)
def StablehloConvolutionOptionsStartWindowReversalVector(builder, numElems): return builder.StartVector(1, numElems, 1)
def StartWindowReversalVector(builder, numElems):
return StablehloConvolutionOptionsStartWindowReversalVector(builder, numElems)
def StablehloConvolutionOptionsAddInputBatchDimension(builder, inputBatchDimension): builder.PrependInt64Slot(5, inputBatchDimension, 0)
def AddInputBatchDimension(builder, inputBatchDimension):
return StablehloConvolutionOptionsAddInputBatchDimension(builder, inputBatchDimension)
def StablehloConvolutionOptionsAddInputFeatureDimension(builder, inputFeatureDimension): builder.PrependInt64Slot(6, inputFeatureDimension, 0)
def AddInputFeatureDimension(builder, inputFeatureDimension):
return StablehloConvolutionOptionsAddInputFeatureDimension(builder, inputFeatureDimension)
def StablehloConvolutionOptionsAddInputSpatialDimensions(builder, inputSpatialDimensions): builder.PrependUOffsetTRelativeSlot(7, flatbuffers.number_types.UOffsetTFlags.py_type(inputSpatialDimensions), 0)
def AddInputSpatialDimensions(builder, inputSpatialDimensions):
return StablehloConvolutionOptionsAddInputSpatialDimensions(builder, inputSpatialDimensions)
def StablehloConvolutionOptionsStartInputSpatialDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
def StartInputSpatialDimensionsVector(builder, numElems):
return StablehloConvolutionOptionsStartInputSpatialDimensionsVector(builder, numElems)
def StablehloConvolutionOptionsAddKernelInputFeatureDimension(builder, kernelInputFeatureDimension): builder.PrependInt64Slot(8, kernelInputFeatureDimension, 0)
def AddKernelInputFeatureDimension(builder, kernelInputFeatureDimension):
return StablehloConvolutionOptionsAddKernelInputFeatureDimension(builder, kernelInputFeatureDimension)
def StablehloConvolutionOptionsAddKernelOutputFeatureDimension(builder, kernelOutputFeatureDimension): builder.PrependInt64Slot(9, kernelOutputFeatureDimension, 0)
def AddKernelOutputFeatureDimension(builder, kernelOutputFeatureDimension):
return StablehloConvolutionOptionsAddKernelOutputFeatureDimension(builder, kernelOutputFeatureDimension)
def StablehloConvolutionOptionsAddKernelSpatialDimensions(builder, kernelSpatialDimensions): builder.PrependUOffsetTRelativeSlot(10, flatbuffers.number_types.UOffsetTFlags.py_type(kernelSpatialDimensions), 0)
def AddKernelSpatialDimensions(builder, kernelSpatialDimensions):
return StablehloConvolutionOptionsAddKernelSpatialDimensions(builder, kernelSpatialDimensions)
def StablehloConvolutionOptionsStartKernelSpatialDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
def StartKernelSpatialDimensionsVector(builder, numElems):
return StablehloConvolutionOptionsStartKernelSpatialDimensionsVector(builder, numElems)
def StablehloConvolutionOptionsAddOutputBatchDimension(builder, outputBatchDimension): builder.PrependInt64Slot(11, outputBatchDimension, 0)
def AddOutputBatchDimension(builder, outputBatchDimension):
return StablehloConvolutionOptionsAddOutputBatchDimension(builder, outputBatchDimension)
def StablehloConvolutionOptionsAddOutputFeatureDimension(builder, outputFeatureDimension): builder.PrependInt64Slot(12, outputFeatureDimension, 0)
def AddOutputFeatureDimension(builder, outputFeatureDimension):
return StablehloConvolutionOptionsAddOutputFeatureDimension(builder, outputFeatureDimension)
def StablehloConvolutionOptionsAddOutputSpatialDimensions(builder, outputSpatialDimensions): builder.PrependUOffsetTRelativeSlot(13, flatbuffers.number_types.UOffsetTFlags.py_type(outputSpatialDimensions), 0)
def AddOutputSpatialDimensions(builder, outputSpatialDimensions):
return StablehloConvolutionOptionsAddOutputSpatialDimensions(builder, outputSpatialDimensions)
def StablehloConvolutionOptionsStartOutputSpatialDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
def StartOutputSpatialDimensionsVector(builder, numElems):
return StablehloConvolutionOptionsStartOutputSpatialDimensionsVector(builder, numElems)
def StablehloConvolutionOptionsAddFeatureGroupCount(builder, featureGroupCount): builder.PrependInt64Slot(14, featureGroupCount, 0)
def AddFeatureGroupCount(builder, featureGroupCount):
return StablehloConvolutionOptionsAddFeatureGroupCount(builder, featureGroupCount)
def StablehloConvolutionOptionsAddBatchGroupCount(builder, batchGroupCount): builder.PrependInt64Slot(15, batchGroupCount, 0)
def AddBatchGroupCount(builder, batchGroupCount):
return StablehloConvolutionOptionsAddBatchGroupCount(builder, batchGroupCount)
def StablehloConvolutionOptionsAddPrecisionConfig(builder, precisionConfig): builder.PrependUOffsetTRelativeSlot(16, flatbuffers.number_types.UOffsetTFlags.py_type(precisionConfig), 0)
def AddPrecisionConfig(builder, precisionConfig):
return StablehloConvolutionOptionsAddPrecisionConfig(builder, precisionConfig)
def StablehloConvolutionOptionsStartPrecisionConfigVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def StartPrecisionConfigVector(builder, numElems):
return StablehloConvolutionOptionsStartPrecisionConfigVector(builder, numElems)
def StablehloConvolutionOptionsEnd(builder): return builder.EndObject()
def End(builder):
return StablehloConvolutionOptionsEnd(builder)
|
