Networks net Version 1.0.9 net A BatchSize 7 InputBatchStride 64 InputChannels 1 InputDepth 1 InputDepthStride 448 InputHeight 1 InputInterleave 1 InputPlaneStride 64 InputRowStride 64 InputType Float16 InputWidth 1 A_broadcasted_output Bottom A Name A_broadcasted_output OutputType Float16 Params BroadcastInfo Dimension Width Size 2 Type Broadcast UnescapedBottom A UnescapedName A_broadcasted_output B BatchSize 1 InputChannels 1 InputHeight 1 InputInterleave 1 InputPlaneStride 64 InputRowStride 64 InputType Float16 InputWidth 2 B_broadcasted_output Bottom B Name B_broadcasted_output OutputType Float16 Params BroadcastInfo Dimension Depth Size 1 Dimension Batch Size 7 Dimension Channel Size 1 Dimension Height Size 1 Type Broadcast UnescapedBottom B UnescapedName B_broadcasted_output Inputs B A Outputs output@output Units A_broadcasted_output B_broadcasted_output output Weights /private/var/folders/l8/38vj8bm52_gfgsqgdn__sh2w0000gn/T/tmpy5yeqxdi.mlmodelc/model.espresso.weights net.additional.weights output Bottom A_broadcasted_output B_broadcasted_output Name output OutputType Float16 Params Scale 15360 Type Min Type ScaledElementWise UnescapedBottom A_broadcasted_output B_broadcasted_output UnescapedName output output@output Bottom output OutputBatchStride 64 OutputDepthStride 448 OutputInterleave 1 OutputPlaneStride 64 OutputRowStride 64 OutputType Float16