# The name of library
library_name: squeezenet-v10
target_abis: [arm64-v8a]
model_graph_format: file
model_data_format: file
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
    # if there multiple inputs or outputs, write like blow:
    # subgraphs:
    # - input_tensors:
    #     - input0
    #     - input1
    #   input_shapes:
    #     - 1,224,224,3
    #     - 1,224,224,3
    #    output_tensors:
    #      - output0
    #      - output1
    #    output_shapes:
    #      - 1,1001
    #      - 1,1001
    subgraphs:
      - input_tensors:
          - data
        input_shapes:
          - 1,227,227,3
        output_tensors:
          - prob
        output_shapes:
          - 1,1,1,1000
    runtime: cpu+gpu
    winograd: 0