io.hydrosphere.serving.onnx.onnx
Describe a batch number dimension.
Describe a channel dimension.
Describe a time dimension.
Describe a feature dimension. This is typically a feature dimension in RNN and/or spatial dimension in CNN.
Describe a filter in-channel dimension. This is the dimension that is identical (in size) to the channel dimension of the input image feature maps.
Describe a filter out channel dimension. This is the dimension that is identical (int size) to the channel dimension of the output image feature maps.
Describe a filter spatial dimension.
Describe a batch number dimension.
Describe a channel dimension.
Describe a feature dimension.
Describe a feature dimension. This is typically a feature dimension in RNN and/or spatial dimension in CNN.
Describe a time dimension.
Describe a filter in-channel dimension.
Describe a filter in-channel dimension. This is the dimension that is identical (in size) to the channel dimension of the input image feature maps.
Describe a filter out channel dimension.
Describe a filter out channel dimension. This is the dimension that is identical (int size) to the channel dimension of the output image feature maps.
Describe a filter spatial dimension.
(Since version 0.6.0) Use toPMessage
(Since version 0.6.0) Use getField that accepts a ScalaPB descriptor and returns PValue
A set of pre-defined constants to be used as values for the standard denotation field in TensorShapeProto.Dimension for semantic description of the tensor dimension.
Describe a batch number dimension.
Describe a channel dimension.
Describe a time dimension.
Describe a feature dimension. This is typically a feature dimension in RNN and/or spatial dimension in CNN.
Describe a filter in-channel dimension. This is the dimension that is identical (in size) to the channel dimension of the input image feature maps.
Describe a filter out channel dimension. This is the dimension that is identical (int size) to the channel dimension of the output image feature maps.
Describe a filter spatial dimension.