# The name of library
library_name: squeezenet-v10
target_abis: [arm64-v8a]
embed_model_data: 0
build_type: proto
linkshared: 1
models:
  squeezenet-v10: # model tag, which will be used in model loading and must be specific.
    platform: caffe
    # support local path, http:// and https://
    model_file_path: https://cnbj1.fds.api.xiaomi.com/mace/miai-models/squeezenet/squeezenet-v1.0.prototxt
    weight_file_path: https://cnbj1.fds.api.xiaomi.com/mace/miai-models/squeezenet/squeezenet-v1.0.caffemodel
    # sha256_checksum of your model's graph and data files.
    # get the sha256_checksum: sha256sum path/to/your/file
    model_sha256_checksum: db680cf18bb0387ded9c8e9401b1bbcf5dc09bf704ef1e3d3dbd1937e772cae0
    weight_sha256_checksum: 9ff8035aada1f9ffa880b35252680d971434b141ec9fbacbe88309f0f9a675ce
    # define your model's interface
    subgraphs:
      - input_tensors: data
        input_shapes: 1,227,227,3
        output_tensors: prob
        output_shapes: 1,1,1,1000
    runtime: cpu+gpu
    winograd: 0