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Add more ResNet variants #69

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Add more ResNet variants #69

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42 changes: 22 additions & 20 deletions src/resnet.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -39,8 +39,7 @@ function Bottleneck(filters::Int, downsample::Bool = false, res_top::Bool = fals
end
end

function resnet50()
local layers = [3, 4, 6, 3]
function resnet(layers = [3,4,6,3])
local layer_arr = []

push!(layer_arr, Conv((7,7), 3=>64, pad = (3,3), stride = (2,2)))
Expand All @@ -63,24 +62,24 @@ function resnet50()
Chain(layer_arr...)
end

function resnet_layers()
weight = Metalhead.weights("resnet.bson")
weights = Dict{Any ,Any}()
for ele in keys(weight)
weights[string(ele)] = convert(Array{Float64, N} where N, weight[ele])
end
ls = resnet50()
ls[1].weight .= weights["gpu_0/conv1_w_0"][end:-1:1,:,:,:][:,end:-1:1,:,:]
count = 2
for j in [3:5, 6:9, 10:15, 16:18]
for p in j
ls[p].conv_layers[1].weight .= weights["gpu_0/res$(count)_$(p-j[1])_branch2a_w_0"][end:-1:1,:,:,:][:,end:-1:1,:,:]
ls[p].conv_layers[2].weight .= weights["gpu_0/res$(count)_$(p-j[1])_branch2b_w_0"][end:-1:1,:,:,:][:,end:-1:1,:,:]
ls[p].conv_layers[3].weight .= weights["gpu_0/res$(count)_$(p-j[1])_branch2c_w_0"][end:-1:1,:,:,:][:,end:-1:1,:,:]
end
count += 1
end
ls[21].W .= transpose(weights["gpu_0/pred_w_0"]); ls[21].b .= weights["gpu_0/pred_b_0"]
function resnet_layers(layers = [3,4,6,3])
# weight = Metalhead.weights("resnet.bson")
# weights = Dict{Any ,Any}()
# for ele in keys(weight)
# weights[string(ele)] = convert(Array{Float64, N} where N, weight[ele])
# end
ls = resnet(layers)
# ls[1].weight .= weights["gpu_0/conv1_w_0"][end:-1:1,:,:,:][:,end:-1:1,:,:]
# count = 2
# for j in [3:5, 6:9, 10:15, 16:18]
# for p in j
# ls[p].conv_layers[1].weight .= weights["gpu_0/res$(count)_$(p-j[1])_branch2a_w_0"][end:-1:1,:,:,:][:,end:-1:1,:,:]
# ls[p].conv_layers[2].weight .= weights["gpu_0/res$(count)_$(p-j[1])_branch2b_w_0"][end:-1:1,:,:,:][:,end:-1:1,:,:]
# ls[p].conv_layers[3].weight .= weights["gpu_0/res$(count)_$(p-j[1])_branch2c_w_0"][end:-1:1,:,:,:][:,end:-1:1,:,:]
# end
# count += 1
# end
# ls[21].W .= transpose(weights["gpu_0/pred_w_0"]); ls[21].b .= weights["gpu_0/pred_b_0"]
return ls
end

Expand All @@ -89,6 +88,9 @@ struct ResNet <: ClassificationModel{ImageNet.ImageNet1k}
end

ResNet() = ResNet(resnet_layers())
ResNet50() = ResNet()
ResNet101() = ResNet(resnet_layers([3,4,23,3]))
ResNet152() = ResNet(resnet_layers([3,8,36,3]))

Base.show(io::IO, ::ResNet) = print(io, "ResNet()")

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