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@author: xingyu liao
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inplanes: input channel dimensionality
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planes: output channel dimensionality
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ResNext optimized for the ImageNet dataset, as specified in
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https://arxiv.org/pdf/1611.05431.pdf
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baseWidth: baseWidth for ResNeXt.
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cardinality: number of convolution groups.
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layers: config of layers, e.g., [3, 4, 6, 3]
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num_classes: number of classes
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block: block type used to construct ResNext
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planes: number of output channels (need to multiply by block.expansion)
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blocks: number of blocks to be built
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stride: factor to reduce the spatial dimensionality in the first bottleneck of the block.
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Create a ResNeXt instance from config.
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