Package | Description |
---|---|
org.bytedeco.tensorrt.nvinfer | |
org.bytedeco.tensorrt.nvparsers |
Modifier and Type | Method and Description |
---|---|
ITensor |
INetworkDefinition.addInput(BytePointer name,
int type,
Dims32 dimensions) |
ITensor |
VNetworkDefinition.addInput(BytePointer name,
int type,
Dims32 dimensions) |
ITensor |
INetworkDefinition.addInput(String name,
nvinfer.DataType type,
Dims32 dimensions)
\brief Add an input tensor to the network.
|
ITensor |
VNetworkDefinition.addInput(String name,
nvinfer.DataType type,
Dims32 dimensions) |
ITensor |
IRNNv2Layer.getCellState()
Deprecated.
\brief Get the initial cell state of the RNN.
|
ITensor |
VRNNv2Layer.getCellState() |
ITensor |
IRNNv2Layer.getHiddenState()
Deprecated.
\brief Get the initial hidden state of the RNN.
|
ITensor |
VRNNv2Layer.getHiddenState() |
ITensor |
INetworkDefinition.getInput(int index)
\brief Get the input tensor specified by the given index.
|
ITensor |
ILayer.getInput(int index)
\brief Get the layer input corresponding to the given index.
|
ITensor |
VLayer.getInput(int index) |
ITensor |
VNetworkDefinition.getInput(int index) |
ITensor |
INetworkDefinition.getOutput(int index)
\brief Get the output tensor specified by the given index.
|
ITensor |
ILayer.getOutput(int index)
\brief Get the layer output corresponding to the given index.
|
ITensor |
VLayer.getOutput(int index) |
ITensor |
VNetworkDefinition.getOutput(int index) |
ITensor |
IRNNv2Layer.getSequenceLengths()
Deprecated.
\brief Get the sequence lengths specified for the RNN.
|
ITensor |
VRNNv2Layer.getSequenceLengths() |
Modifier and Type | Method and Description |
---|---|
IActivationLayer |
INetworkDefinition.addActivation(ITensor input,
int type) |
IActivationLayer |
VNetworkDefinition.addActivation(ITensor input,
int type) |
IActivationLayer |
INetworkDefinition.addActivation(ITensor input,
nvinfer.ActivationType type)
\brief Add an activation layer to the network.
|
IActivationLayer |
VNetworkDefinition.addActivation(ITensor input,
nvinfer.ActivationType type) |
IAssertionLayer |
INetworkDefinition.addAssertion(ITensor condition,
BytePointer message) |
IAssertionLayer |
VNetworkDefinition.addAssertion(ITensor condition,
BytePointer message) |
IAssertionLayer |
INetworkDefinition.addAssertion(ITensor condition,
String message)
\brief Add an assertion layer to the network.
|
IAssertionLayer |
VNetworkDefinition.addAssertion(ITensor condition,
String message) |
ICastLayer |
INetworkDefinition.addCast(ITensor input,
int toType) |
ICastLayer |
VNetworkDefinition.addCast(ITensor input,
int toType) |
ICastLayer |
INetworkDefinition.addCast(ITensor input,
nvinfer.DataType toType)
\brief Add a cast layer.
|
ICastLayer |
VNetworkDefinition.addCast(ITensor input,
nvinfer.DataType toType) |
IConcatenationLayer |
INetworkDefinition.addConcatenation(ITensor inputs,
int nbInputs) |
IConcatenationLayer |
VNetworkDefinition.addConcatenation(ITensor inputs,
int nbInputs) |
IConvolutionLayer |
INetworkDefinition.addConvolution(ITensor input,
int nbOutputMaps,
DimsHW kernelSize,
Weights kernelWeights,
Weights biasWeights)
Deprecated.
Superseded by addConvolutionNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0
|
IConvolutionLayer |
VNetworkDefinition.addConvolution(ITensor input,
int nbOutputMaps,
DimsHW kernelSize,
Weights kernelWeights,
Weights biasWeights) |
IConvolutionLayer |
INetworkDefinition.addConvolutionNd(ITensor input,
int nbOutputMaps,
Dims32 kernelSize,
Weights kernelWeights,
Weights biasWeights)
\brief Add a multi-dimension convolution layer to the network.
|
IConvolutionLayer |
VNetworkDefinition.addConvolutionNd(ITensor input,
int nbOutputMaps,
Dims32 kernelSize,
Weights kernelWeights,
Weights biasWeights) |
IDeconvolutionLayer |
INetworkDefinition.addDeconvolution(ITensor input,
int nbOutputMaps,
DimsHW kernelSize,
Weights kernelWeights,
Weights biasWeights)
Deprecated.
Superseded by addDeconvolutionNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0
|
IDeconvolutionLayer |
VNetworkDefinition.addDeconvolution(ITensor input,
int nbOutputMaps,
DimsHW kernelSize,
Weights kernelWeights,
Weights biasWeights) |
IDeconvolutionLayer |
INetworkDefinition.addDeconvolutionNd(ITensor input,
int nbOutputMaps,
Dims32 kernelSize,
Weights kernelWeights,
Weights biasWeights) |
IDeconvolutionLayer |
VNetworkDefinition.addDeconvolutionNd(ITensor input,
int nbOutputMaps,
Dims32 kernelSize,
Weights kernelWeights,
Weights biasWeights) |
IDequantizeLayer |
INetworkDefinition.addDequantize(ITensor input,
ITensor scale)
\brief Add a dequantization layer to the network.
|
IDequantizeLayer |
VNetworkDefinition.addDequantize(ITensor input,
ITensor scale) |
IEinsumLayer |
INetworkDefinition.addEinsum(ITensor inputs,
int nbInputs,
BytePointer equation) |
IEinsumLayer |
VNetworkDefinition.addEinsum(ITensor inputs,
int nbInputs,
BytePointer equation) |
IEinsumLayer |
INetworkDefinition.addEinsum(ITensor inputs,
int nbInputs,
String equation) |
IEinsumLayer |
VNetworkDefinition.addEinsum(ITensor inputs,
int nbInputs,
String equation) |
IElementWiseLayer |
INetworkDefinition.addElementWise(ITensor input1,
ITensor input2,
int op) |
IElementWiseLayer |
VNetworkDefinition.addElementWise(ITensor input1,
ITensor input2,
int op) |
IElementWiseLayer |
INetworkDefinition.addElementWise(ITensor input1,
ITensor input2,
nvinfer.ElementWiseOperation op)
\brief Add an elementwise layer to the network.
|
IElementWiseLayer |
VNetworkDefinition.addElementWise(ITensor input1,
ITensor input2,
nvinfer.ElementWiseOperation op) |
IFullyConnectedLayer |
INetworkDefinition.addFullyConnected(ITensor input,
int nbOutputs,
Weights kernelWeights,
Weights biasWeights)
Deprecated.
Deprecated in TensorRT 8.4. Superseded by addMatrixMultiply().
|
IFullyConnectedLayer |
VNetworkDefinition.addFullyConnected(ITensor input,
int nbOutputs,
Weights kernelWeights,
Weights biasWeights) |
IGatherLayer |
INetworkDefinition.addGather(ITensor data,
ITensor indices,
int axis)
\brief Add gather with mode GatherMode::kDEFAULT and specified axis and nbElementWiseDims=0.
|
IGatherLayer |
VNetworkDefinition.addGather(ITensor data,
ITensor indices,
int axis) |
IGatherLayer |
INetworkDefinition.addGatherV2(ITensor data,
ITensor indices,
int mode) |
IGatherLayer |
VNetworkDefinition.addGatherV2(ITensor data,
ITensor indices,
int mode) |
IGatherLayer |
INetworkDefinition.addGatherV2(ITensor data,
ITensor indices,
nvinfer.GatherMode mode)
\brief Add gather with specified mode, axis=0 and nbElementWiseDims=0.
|
IGatherLayer |
VNetworkDefinition.addGatherV2(ITensor data,
ITensor indices,
nvinfer.GatherMode mode) |
IGridSampleLayer |
INetworkDefinition.addGridSample(ITensor input,
ITensor grid)
\brief Add a GridSample layer to the network.
|
IGridSampleLayer |
VNetworkDefinition.addGridSample(ITensor input,
ITensor grid) |
IIdentityLayer |
INetworkDefinition.addIdentity(ITensor input)
\brief Add an identity layer.
|
IIdentityLayer |
VNetworkDefinition.addIdentity(ITensor input) |
IIfConditionalInputLayer |
IIfConditional.addInput(ITensor input)
\brief Add an If-conditional input.
|
IIfConditionalInputLayer |
VIfConditional.addInput(ITensor tensor) |
IIteratorLayer |
VLoop.addIterator(ITensor tensor) |
IIteratorLayer |
ILoop.addIterator(ITensor tensor) |
IIteratorLayer |
VLoop.addIterator(ITensor tensor,
int axis,
boolean reverse) |
IIteratorLayer |
ILoop.addIterator(ITensor tensor,
int axis,
boolean reverse)
\brief Return layer that subscripts tensor by loop iteration.
|
ILoopOutputLayer |
VLoop.addLoopOutput(ITensor tensor,
int outputKind) |
ILoopOutputLayer |
ILoop.addLoopOutput(ITensor tensor,
int outputKind) |
ILoopOutputLayer |
VLoop.addLoopOutput(ITensor tensor,
int outputKind,
int axis) |
ILoopOutputLayer |
ILoop.addLoopOutput(ITensor tensor,
int outputKind,
int axis) |
ILoopOutputLayer |
VLoop.addLoopOutput(ITensor tensor,
nvinfer.LoopOutput outputKind) |
ILoopOutputLayer |
ILoop.addLoopOutput(ITensor tensor,
nvinfer.LoopOutput outputKind) |
ILoopOutputLayer |
VLoop.addLoopOutput(ITensor tensor,
nvinfer.LoopOutput outputKind,
int axis) |
ILoopOutputLayer |
ILoop.addLoopOutput(ITensor tensor,
nvinfer.LoopOutput outputKind,
int axis)
\brief Make an output for this loop, based on the given tensor.
|
ILRNLayer |
INetworkDefinition.addLRN(ITensor input,
int window,
float alpha,
float beta,
float k)
\brief Add a LRN layer to the network.
|
ILRNLayer |
VNetworkDefinition.addLRN(ITensor input,
int window,
float alpha,
float beta,
float k) |
IMatrixMultiplyLayer |
INetworkDefinition.addMatrixMultiply(ITensor input0,
int op0,
ITensor input1,
int op1) |
IMatrixMultiplyLayer |
VNetworkDefinition.addMatrixMultiply(ITensor input0,
int op0,
ITensor input1,
int op1) |
IMatrixMultiplyLayer |
INetworkDefinition.addMatrixMultiply(ITensor input0,
nvinfer.MatrixOperation op0,
ITensor input1,
nvinfer.MatrixOperation op1)
\brief Add a MatrixMultiply layer to the network.
|
IMatrixMultiplyLayer |
VNetworkDefinition.addMatrixMultiply(ITensor input0,
nvinfer.MatrixOperation op0,
ITensor input1,
nvinfer.MatrixOperation op1) |
INMSLayer |
INetworkDefinition.addNMS(ITensor boxes,
ITensor scores,
ITensor maxOutputBoxesPerClass)
\brief Add a non-maximum suppression layer to the network.
|
INMSLayer |
VNetworkDefinition.addNMS(ITensor boxes,
ITensor scores,
ITensor maxOutputBoxesPerClass) |
INonZeroLayer |
INetworkDefinition.addNonZero(ITensor input)
\brief Add a nonzero layer to the network.
|
INonZeroLayer |
VNetworkDefinition.addNonZero(ITensor input) |
INormalizationLayer |
INetworkDefinition.addNormalization(ITensor input,
ITensor scale,
ITensor bias,
int axesMask)
\brief Add a normalization layer to the network.
|
INormalizationLayer |
VNetworkDefinition.addNormalization(ITensor input,
ITensor scale,
ITensor bias,
int axesMask) |
IOneHotLayer |
INetworkDefinition.addOneHot(ITensor indices,
ITensor values,
ITensor depth,
int axis)
\brief Add a OneHot layer to the network.
|
IOneHotLayer |
VNetworkDefinition.addOneHot(ITensor indices,
ITensor values,
ITensor depth,
int axis) |
IIfConditionalOutputLayer |
IIfConditional.addOutput(ITensor trueSubgraphOutput,
ITensor falseSubgraphOutput)
\brief Add an If-conditional output.
|
IIfConditionalOutputLayer |
VIfConditional.addOutput(ITensor trueTensor,
ITensor falseTensor) |
IPaddingLayer |
INetworkDefinition.addPadding(ITensor input,
DimsHW prePadding,
DimsHW postPadding)
Deprecated.
Superseded by addPaddingNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0
|
IPaddingLayer |
VNetworkDefinition.addPadding(ITensor input,
DimsHW prePadding,
DimsHW postPadding) |
IPaddingLayer |
INetworkDefinition.addPaddingNd(ITensor input,
Dims32 prePadding,
Dims32 postPadding)
Deprecated.
Deprecated in TensorRT 8.0. Superseded by addSlice().
|
IPaddingLayer |
VNetworkDefinition.addPaddingNd(ITensor input,
Dims32 prePadding,
Dims32 postPadding) |
IParametricReLULayer |
INetworkDefinition.addParametricReLU(ITensor input,
ITensor slope)
\brief Add a parametric ReLU layer to the network.
|
IParametricReLULayer |
VNetworkDefinition.addParametricReLU(ITensor input,
ITensor slope) |
IPluginV2Layer |
INetworkDefinition.addPluginV2(ITensor inputs,
int nbInputs,
IPluginV2 plugin) |
IPluginV2Layer |
VNetworkDefinition.addPluginV2(ITensor inputs,
int nbInputs,
IPluginV2 plugin) |
IPoolingLayer |
INetworkDefinition.addPooling(ITensor input,
int type,
DimsHW windowSize)
Deprecated.
|
IPoolingLayer |
VNetworkDefinition.addPooling(ITensor input,
int type,
DimsHW windowSize) |
IPoolingLayer |
INetworkDefinition.addPooling(ITensor input,
nvinfer.PoolingType type,
DimsHW windowSize)
Deprecated.
Superseded by addPoolingNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0
|
IPoolingLayer |
VNetworkDefinition.addPooling(ITensor input,
nvinfer.PoolingType type,
DimsHW windowSize) |
IPoolingLayer |
INetworkDefinition.addPoolingNd(ITensor input,
int type,
Dims32 windowSize) |
IPoolingLayer |
VNetworkDefinition.addPoolingNd(ITensor input,
int type,
Dims32 windowSize) |
IPoolingLayer |
INetworkDefinition.addPoolingNd(ITensor input,
nvinfer.PoolingType type,
Dims32 windowSize)
\brief Add a multi-dimension pooling layer to the network.
|
IPoolingLayer |
VNetworkDefinition.addPoolingNd(ITensor input,
nvinfer.PoolingType type,
Dims32 windowSize) |
IQuantizeLayer |
INetworkDefinition.addQuantize(ITensor input,
ITensor scale)
\brief Add a quantization layer to the network.
|
IQuantizeLayer |
VNetworkDefinition.addQuantize(ITensor input,
ITensor scale) |
IRaggedSoftMaxLayer |
INetworkDefinition.addRaggedSoftMax(ITensor input,
ITensor bounds)
\brief Add a RaggedSoftMax layer to the network.
|
IRaggedSoftMaxLayer |
VNetworkDefinition.addRaggedSoftMax(ITensor input,
ITensor bounds) |
IRecurrenceLayer |
VLoop.addRecurrence(ITensor initialValue) |
IRecurrenceLayer |
ILoop.addRecurrence(ITensor initialValue)
\brief Create a recurrence layer for this loop with initialValue as its first input.
|
IReduceLayer |
INetworkDefinition.addReduce(ITensor input,
int operation,
int reduceAxes,
boolean keepDimensions) |
IReduceLayer |
VNetworkDefinition.addReduce(ITensor input,
int operation,
int reduceAxes,
boolean keepDimensions) |
IReduceLayer |
INetworkDefinition.addReduce(ITensor input,
nvinfer.ReduceOperation operation,
int reduceAxes,
boolean keepDimensions)
\brief Add a reduce layer to the network.
|
IReduceLayer |
VNetworkDefinition.addReduce(ITensor input,
nvinfer.ReduceOperation operation,
int reduceAxes,
boolean keepDimensions) |
IResizeLayer |
INetworkDefinition.addResize(ITensor input)
\brief Add a resize layer to the network.
|
IResizeLayer |
VNetworkDefinition.addResize(ITensor input) |
IReverseSequenceLayer |
INetworkDefinition.addReverseSequence(ITensor input,
ITensor sequenceLens)
\brief Add a ReverseSequence layer to the network.
|
IReverseSequenceLayer |
VNetworkDefinition.addReverseSequence(ITensor input,
ITensor sequenceLens) |
IRNNv2Layer |
INetworkDefinition.addRNNv2(ITensor input,
int layerCount,
int hiddenSize,
int maxSeqLen,
int op)
Deprecated.
|
IRNNv2Layer |
VNetworkDefinition.addRNNv2(ITensor input,
int layerCount,
int hiddenSize,
int maxSeqLen,
int op) |
IRNNv2Layer |
INetworkDefinition.addRNNv2(ITensor input,
int layerCount,
int hiddenSize,
int maxSeqLen,
nvinfer.RNNOperation op)
Deprecated.
Deprecated prior to TensorRT 8.0 and will be removed in 9.0. Superseded by
INetworkDefinition::addLoop().
\warning RNN inputs do not support wildcard dimensions or explicit batch size networks.
\warning Int32 tensors are not valid input tensors, only for sequence lengths.
|
IRNNv2Layer |
VNetworkDefinition.addRNNv2(ITensor input,
int layerCount,
int hiddenSize,
int maxSeqLen,
nvinfer.RNNOperation op) |
IScaleLayer |
INetworkDefinition.addScale(ITensor input,
int mode,
Weights shift,
Weights scale,
Weights power) |
IScaleLayer |
VNetworkDefinition.addScale(ITensor input,
int mode,
Weights shift,
Weights scale,
Weights power) |
IScaleLayer |
INetworkDefinition.addScale(ITensor input,
nvinfer.ScaleMode mode,
Weights shift,
Weights scale,
Weights power)
\brief Add a Scale layer to the network.
|
IScaleLayer |
VNetworkDefinition.addScale(ITensor input,
nvinfer.ScaleMode mode,
Weights shift,
Weights scale,
Weights power) |
IScaleLayer |
INetworkDefinition.addScaleNd(ITensor input,
int mode,
Weights shift,
Weights scale,
Weights power,
int channelAxis) |
IScaleLayer |
VNetworkDefinition.addScaleNd(ITensor input,
int mode,
Weights shift,
Weights scale,
Weights power,
int channelAxis) |
IScaleLayer |
INetworkDefinition.addScaleNd(ITensor input,
nvinfer.ScaleMode mode,
Weights shift,
Weights scale,
Weights power,
int channelAxis)
\brief Add a multi-dimension scale layer to the network.
|
IScaleLayer |
VNetworkDefinition.addScaleNd(ITensor input,
nvinfer.ScaleMode mode,
Weights shift,
Weights scale,
Weights power,
int channelAxis) |
IScatterLayer |
INetworkDefinition.addScatter(ITensor data,
ITensor indices,
ITensor updates,
int mode) |
IScatterLayer |
VNetworkDefinition.addScatter(ITensor data,
ITensor indices,
ITensor updates,
int mode) |
IScatterLayer |
INetworkDefinition.addScatter(ITensor data,
ITensor indices,
ITensor updates,
nvinfer.ScatterMode mode)
\brief Add a Scatter layer to the network with specified mode and axis=0.
|
IScatterLayer |
VNetworkDefinition.addScatter(ITensor data,
ITensor indices,
ITensor updates,
nvinfer.ScatterMode mode) |
ISelectLayer |
INetworkDefinition.addSelect(ITensor condition,
ITensor thenInput,
ITensor elseInput)
\brief Add a select layer to the network.
|
ISelectLayer |
VNetworkDefinition.addSelect(ITensor condition,
ITensor thenInput,
ITensor elseInput) |
IShapeLayer |
INetworkDefinition.addShape(ITensor input)
\brief Add a shape layer to the network.
|
IShapeLayer |
VNetworkDefinition.addShape(ITensor input) |
IShuffleLayer |
INetworkDefinition.addShuffle(ITensor input)
\brief Add a shuffle layer to the network.
|
IShuffleLayer |
VNetworkDefinition.addShuffle(ITensor input) |
ISliceLayer |
INetworkDefinition.addSlice(ITensor input,
Dims32 start,
Dims32 size,
Dims32 stride)
\brief Add a slice layer to the network.
|
ISliceLayer |
VNetworkDefinition.addSlice(ITensor input,
Dims32 start,
Dims32 size,
Dims32 stride) |
ISoftMaxLayer |
INetworkDefinition.addSoftMax(ITensor input)
\brief Add a SoftMax layer to the network.
|
ISoftMaxLayer |
VNetworkDefinition.addSoftMax(ITensor input) |
ITopKLayer |
INetworkDefinition.addTopK(ITensor input,
int op,
int k,
int reduceAxes) |
ITopKLayer |
VNetworkDefinition.addTopK(ITensor input,
int op,
int k,
int reduceAxes) |
ITopKLayer |
INetworkDefinition.addTopK(ITensor input,
nvinfer.TopKOperation op,
int k,
int reduceAxes)
\brief Add a TopK layer to the network.
|
ITopKLayer |
VNetworkDefinition.addTopK(ITensor input,
nvinfer.TopKOperation op,
int k,
int reduceAxes) |
ITripLimitLayer |
VLoop.addTripLimit(ITensor tensor,
int _limit) |
ITripLimitLayer |
ILoop.addTripLimit(ITensor tensor,
int _limit) |
ITripLimitLayer |
VLoop.addTripLimit(ITensor tensor,
nvinfer.TripLimit _limit) |
ITripLimitLayer |
ILoop.addTripLimit(ITensor tensor,
nvinfer.TripLimit _limit)
\brief Add a trip-count limiter, based on the given tensor.
|
IUnaryLayer |
INetworkDefinition.addUnary(ITensor input,
int operation) |
IUnaryLayer |
VNetworkDefinition.addUnary(ITensor input,
int operation) |
IUnaryLayer |
INetworkDefinition.addUnary(ITensor input,
nvinfer.UnaryOperation operation)
\brief Add a unary layer to the network.
|
IUnaryLayer |
VNetworkDefinition.addUnary(ITensor input,
nvinfer.UnaryOperation operation) |
void |
INetworkDefinition.markOutput(ITensor tensor)
\brief Mark a tensor as a network output.
|
void |
VNetworkDefinition.markOutput(ITensor tensor) |
boolean |
INetworkDefinition.markOutputForShapes(ITensor tensor)
\brief Enable tensor's value to be computed by IExecutionContext::getShapeBinding.
|
boolean |
VNetworkDefinition.markOutputForShapes(ITensor tensor) |
void |
INetworkDefinition.removeTensor(ITensor tensor)
\brief remove a tensor from the network definition.
|
void |
VNetworkDefinition.removeTensor(ITensor tensor) |
void |
IRNNv2Layer.setCellState(ITensor cell)
Deprecated.
\brief Set the initial cell state of the LSTM with the provided \p cell ITensor.
|
void |
VRNNv2Layer.setCellState(ITensor cell) |
IConditionLayer |
IIfConditional.setCondition(ITensor condition)
\brief Set the condition tensor for this If-Conditional construct.
|
IConditionLayer |
VIfConditional.setCondition(ITensor tensor) |
void |
IRNNv2Layer.setHiddenState(ITensor hidden)
Deprecated.
\brief Set the initial hidden state of the RNN with the provided \p hidden ITensor.
|
void |
VRNNv2Layer.setHiddenState(ITensor hidden) |
void |
ILayer.setInput(int index,
ITensor tensor)
\brief Replace an input of this layer with a specific tensor.
|
void |
VLayer.setInput(int index,
ITensor tensor) |
void |
IRNNv2Layer.setSequenceLengths(ITensor seqLengths)
Deprecated.
\brief Specify individual sequence lengths in the batch with the ITensor pointed to by
\p seqLengths.
|
void |
VRNNv2Layer.setSequenceLengths(ITensor seqLengths) |
void |
INetworkDefinition.unmarkOutput(ITensor tensor)
\brief unmark a tensor as a network output.
|
void |
VNetworkDefinition.unmarkOutput(ITensor tensor) |
boolean |
INetworkDefinition.unmarkOutputForShapes(ITensor tensor)
\brief Undo markOutputForShapes.
|
boolean |
VNetworkDefinition.unmarkOutputForShapes(ITensor tensor) |
Modifier and Type | Method and Description |
---|---|
ITensor |
IBlobNameToTensor.find(BytePointer name) |
ITensor |
IBlobNameToTensor.find(String name)
\brief Given a blob name, returns a pointer to a ITensor object.
|
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