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Problems running on GPU about cuarrays.jl HOT 2 CLOSED

juliagpu avatar juliagpu commented on May 28, 2024
Problems running on GPU

from cuarrays.jl.

Comments (2)

jacobcvt12 avatar jacobcvt12 commented on May 28, 2024

@carlobaldassi I had this same issue. It appears to be due to the numerical instability of calling softmax followed by crossentropy. Instead, using the function logitcrossentropy in your loss. As @boathit describes, this is equivalent but more stable. You will need to edit the code to something like

m = Chain(
  Dense(28^2, 32, relu),
  Dense(32, 10)) |> gpu

loss(x, y) = logitcrossentropy(m(x), y)

See FluxML/Flux.jl#201 as well.

from cuarrays.jl.

maleadt avatar maleadt commented on May 28, 2024

FluxML/Flux.jl#201 (comment)

from cuarrays.jl.

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