diff options
Diffstat (limited to 'ethosu/vela/tflite/StablehloConvolutionOptions.py')
| -rw-r--r-- | ethosu/vela/tflite/StablehloConvolutionOptions.py | 413 |
1 files changed, 413 insertions, 0 deletions
diff --git a/ethosu/vela/tflite/StablehloConvolutionOptions.py b/ethosu/vela/tflite/StablehloConvolutionOptions.py new file mode 100644 index 0000000..2ab3fab --- /dev/null +++ b/ethosu/vela/tflite/StablehloConvolutionOptions.py @@ -0,0 +1,413 @@ +# 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)
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