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mcabbott avatar mcabbott commented on June 27, 2024 1

What output would you like here? There is no data, of course:

julia> x = randn(Float32, 4, 0, 6)
4×0×6 Array{Float32, 3}

If you're trying to propagate size information, then see Flux.outputsize.

from flux.jl.

bicycle1885 avatar bicycle1885 commented on June 27, 2024

The expected output is an array of size (5, 0, 6) in this example. Of course, there is no data but I sometimes slice an array with x[:,i+1:i+k,:], where k is non-negative and hence may be zero. I don't want to do special handling in such a case.

from flux.jl.

bicycle1885 avatar bicycle1885 commented on June 27, 2024

Also note that the following works as expected. The behavior should be consistent with this.

julia> dense = Dense(4 => 5); x = randn(Float32, 4, 0);

julia> dense(x)
5×0 Matrix{Float32}

from flux.jl.

mcabbott avatar mcabbott commented on June 27, 2024

Yes that's not crazy, I suspect that this one could be made to work without too much effort. But there are likely to be many other places where similar things assume nonempty input, and I don't relish the thought of tracking them all down.

julia> Conv((2,2), 1=>3)(randn32(10,10,1,0))
ERROR: TaskFailedException

    nested task error: ArgumentError: cannot create partitions of length 0

julia> GlobalMeanPool()(randn32(10,0,1,2))
ERROR: DivideError: integer division error

from flux.jl.

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