Convert tensor copies to allocate from pool #113
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When using this example for profiling, it is useful to be able to suppress the full output.
These will allow operators which need to copy inputs to handle allocation of the cloned tensor/view's buffer.
`LayerNormalization` is an exception as it is built on lower-level operators, not all of which have been converted to use the pool yet.
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Add
TensorBase::to_tensor_bufAPI that makes it possible to create a contiguous copy of a tensor/view with a pre-allocated output buffer, and use it to convert theIdentity,BatchNormalization,Slice,Softmax,LogSoftmaxandInstanceNormalizationops to allocate from the pool.See #109