Description:
I’m trying to build a transformer-based classifier model in Julia using the TransformersLite package, but I’m encountering an error that says UndefVarError:
castnot defined
. I’ve updated all of the packages in my environment, but the error persists.
UndefVarError: cast
not defined
- (::Main.var"workspace#5".var"#1#2")(::Int64)@none:0
- iterate@generator.jl:47 [inlined]
- collect(::Base.Generator{UnitRange{Int64}, Main.var"workspace#5".var"#1#2"})@array.jl:782
- top-level scope@Local: 11
“”"
begin
dim_embedding = hyperparameters["dim_embedding"]
pdrop = hyperparameters["pdrop"]
n_heads = hyperparameters["n_heads"]
dim_feedforward = hyperparameters["dim_feedforward"]
embed = Embed(dim_embedding, length(indexer))
pos_enc = PositionEncoding(dim_embedding)
dropout = Dropout(pdrop)
transformer_blocks = [
TransformerEncoderBlock(n_heads, dim_embedding, dim_feedforward, pdrop=pdrop, act=relu) |>
cast(TransformersLite.TransformerEncoderBlock)
for _ in 1:n_heads]
flatten_layer = FlattenLayer()
final_dense = Dense(dim_embedding * max_length, nlabels)
# Construct the model
model = TransformersLite.TransformerClassifier(embed, pos_enc, dropout,
transformer_blocks, flatten_layer, final_dense)
display(model)
println("")
# Adjust for GPU or CPU
device = CUDA.has_cuda() && CUDA.functional() ? gpu : cpu
model = device(model)
hyperparameters["model"] = "$(typeof(model).name. Wrapper)"
hyperparameters["trainable parameters"] = sum(length, Flux.params(model))
# Define loss and accuracy functions
if nlabels == 1
loss(x, y) = Flux.logitbinarycrossentropy(x, y)
accuracy(ŷ, y) = mean((Flux.sigmoid.(ŷ) .> 0.5) .== y)
else
loss = Flux.logitcrossentropy
accuracy(ŷ, y) = mean(Flux.onecold(ŷ) .== Flux.onecold(y))
end
end
“”"
Steps taken to troubleshoot:
- I updated all of the packages in my Julia environment using
Pkg.update()
. - I cleared the Julia cache using
Pkg.reset()
. - I checked for conflicting packages using
Pkg.conflicts()
. - I verified package versions using
Pkg.status()
. - I inspected the code carefully for any potential errors or inconsistencies.
I have also tried reinstalling the Pkg
package, restarting Julia, and updating Julia to the latest version, but the error persists.
I would be grateful for any help you can provide in resolving this issue.
Thank you!