Error: the destination image texture is temporary and has a readCount of 0.

[IversonSun]

when i combine mobilenet and shortcut connection, i get such an error:

/BuildRoot/Library/Caches/com.apple.xbs/Sources/MetalImage/MetalImage-100.6/MPSNeuralNetwork/Filters/MPSCNNKernel.mm:729: failed assertion `[MPSCNNConvolution encodeToCommandBuffer:sourceImage:inState:destinationImage:] Error: the destination image texture is temporary and has a readCount of 0. Its texel storage is probably in use for another texture now.

net summary is correct but error occurs in method Model.encode(exactly, in MPSCNNLayer.encode), and i can not figure out why.net definetion is something like this:

    let relu = MPSCNNNeuronReLU(device: device, a : 0.0)
    let input = Input(width: 256, height: 512, channels:3)
    let mbv1_conv_1 = input
        --> Resize(width: 256, height: 512)
        --> Convolution(kernel: (3, 3), channels: 16, stride: (2, 2), padding: .same, activation: relu, useBias: true, name: "0")
        --> DepthwiseConvolution(kernel: (3, 3), stride: (1, 1), activation: nil, useBias: false, name: "1_d")
        --> PointwiseConvolution(channels: 32, stride: (1, 1), activation: relu, useBias: true, name: "1_p")
        --> DepthwiseConvolution(kernel: (3, 3), stride: (2, 2), activation: nil, useBias: false, name: "2_d")
        --> PointwiseConvolution(channels: 64, stride: (1, 1), activation: relu, useBias: true, name: "2_p")

    let mbv1_conv_2 = mbv1_conv_1
        --> DepthwiseConvolution(kernel: (3, 3), stride: (2, 2), activation: nil, useBias: false, name: "3_d")
        --> PointwiseConvolution(channels: 128, stride: (1, 1), activation: relu, useBias: true, name: "3_p")
        --> DepthwiseConvolution(kernel: (3, 3), stride: (1, 1), activation: nil, useBias: false, name: "4_d")
        --> PointwiseConvolution(channels: 128, stride: (1, 1), activation: relu, useBias: true, name: "4_p")

    let mbv1_conv_3 = mbv1_conv_2
        --> DepthwiseConvolution(kernel: (3, 3), stride: (1, 1), activation: nil, useBias: false, name: "5_d")
        --> PointwiseConvolution(channels: 256, stride: (1, 1), activation: relu, useBias: true, name: "5_p")
        --> DepthwiseConvolution(kernel: (3, 3), stride: (1, 1), activation: nil, useBias: false, name: "6_d")
        --> PointwiseConvolution(channels: 256, stride: (1, 1), activation: relu, useBias: true, name: "6_p")

    let mbv1_maxpool = mbv1_conv_1
        --> MaxPooling(kernel: (2, 2), stride: (2, 2), padding: .valid)

    let concat = Concatenate([ mbv1_maxpool, mbv1_conv_2, mbv1_conv_3])

    let mbv1_conv4 = concat
        --> DepthwiseConvolution(kernel: (3, 3), stride: (1, 1), activation: nil, useBias: false, name: "7_d")
        --> PointwiseConvolution(channels: 32, stride: (1, 1), activation: relu, useBias: true, name: "7_p")

[hollance]

Looks like Forge does not properly manage the readCount of the images. I'm not going to fix this since Forge is now deprecated.

[IversonSun]

Thanks all the same!