library_name: mnist
target_abis: [host]
model_graph_format: file
model_data_format: file
models:
  mnist_int8:
    platform: keras
    model_file_path: https://cdn.cnbj1.fds.api.mi-img.com/mace/miai-models/micro/keras/mnist/mnist_int8.h5
    model_sha256_checksum: f56ae3b94c114719683c3bc55351f871d371e874d3a4d3224cc5299717e8b7fc
    subgraphs:
      - input_tensors:
          - conv2d_input:0
        input_shapes:
          - 1,28,28,1
        input_ranges:
          - 0,1
        output_tensors:
          - quant_dense_1/Softmax:0
        output_shapes:
          - 1,10
        validation_inputs_data:
          - https://cnbj1.fds.api.xiaomi.com/mace/inputs/mnist4.npy
    runtime: cpu
    limit_opencl_kernel_time: 0
    nnlib_graph_mode: 0
    obfuscate: 0
    winograd: 0
    quantize: 1
    quantize_schema: int8