Can not compile "default" android app - error while quantize and dequantize network nodes

[dmytro1977]

System information

• OS Platform and Distribution Linux Ubuntu 20.04
• NDK version 25.2
• GCC version 9.4.0
• MACE version v1.1.1-20-g42ee056f
• Python version both 2.7 and 3.6
• Bazel version - not installed
• Tensorflow 1.8.0, all other dependencies as written in requirements
• Anaconda is used

Model deploy file (*.yml)

library_name: mobilenet
target_abis: [arm64-v8a]
model_graph_format: code
model_data_format: code
models:
  mobilenet_v1:
    platform: tensorflow
    model_file_path: https://cnbj1.fds.api.xiaomi.com/mace/miai-models/mobilenet-v1/mobilenet-v1-1.0.pb
    model_sha256_checksum: 71b10f540ece33c49a7b51f5d4095fc9bd78ce46ebf0300487b2ee23d71294e6
    subgraphs:
      - input_tensors:
          - input
        input_shapes:
          - 1,224,224,3
        output_tensors:
          - MobilenetV1/Predictions/Reshape_1
        output_shapes:
          - 1,1001
    runtime: cpu+gpu
    limit_opencl_kernel_time: 0
    obfuscate: 0
    winograd: 0
  mobilenet_v2:
    platform: tensorflow
    model_file_path: https://cnbj1.fds.api.xiaomi.com/mace/miai-models/mobilenet-v2/mobilenet-v2-1.0.pb
    model_sha256_checksum: 369f9a5f38f3c15b4311c1c84c032ce868da9f371b5f78c13d3ea3c537389bb4
    subgraphs:
      - input_tensors:
          - input
        input_shapes:
          - 1,224,224,3
        output_tensors:
          - MobilenetV2/Predictions/Reshape_1
        output_shapes:
          - 1,1001
    runtime: cpu+gpu
    limit_opencl_kernel_time: 0
    obfuscate: 0
    winograd: 0
  mobilenet_v1_quant:
    platform: tensorflow
    model_file_path: http://cnbj1.fds.api.xiaomi.com/mace/miai-models/mobilenet-v1/mobilenet_v1_1.0_224_quant_retrain.pb
    model_sha256_checksum: c3faa9bd790310eb3dec411d2f2e2dd8802394e31ccb47daaa5e3b6369fadfa3
    subgraphs:
      - input_tensors:
          - input
        input_shapes:
          - 1,224,224,3
        input_ranges:
          - -1.0,1.0
        output_tensors:
          - MobilenetV1/Predictions/Softmax:0
        output_shapes:
          - 1,1001
    runtime: cpu
    limit_opencl_kernel_time: 0
    obfuscate: 0
    winograd: 0
    quantize: 1
  mobilenet_v2_quant:
    platform: tensorflow
    model_file_path: https://cnbj1.fds.api.xiaomi.com/mace/miai-models/mobilenet-v2/mobilenet_v2_1.0_224_quant_retrain.pb
    model_sha256_checksum: 1429c8e2a91b251c9fa0dae43dfa5817c5a798bd30284f8c0690e7569a8817f1
    subgraphs:
      - input_tensors:
          - input
        input_shapes:
          - 1,224,224,3
        input_ranges:
          - -1.0,1.0
        output_tensors:
          - output
        output_shapes:
          - 1,1001
    runtime: cpu
    limit_opencl_kernel_time: 0
    obfuscate: 0
    winograd: 0
    quantize: 1

Describe the problem

error while quantize and dequantize network nodes

To Reproduce

Steps to reproduce the problem:

1. cd /path/to/mace/examples/android
2. ./build.sh dynamic # also happens for static

Error information / logs

Traceback (most recent call last):
  File "tools/converter.py", line 1333, in <module>
    flags.func(flags)
  File "tools/converter.py", line 925, in convert_func
    convert.convert(configs, MODEL_CODEGEN_DIR, flags.enable_micro)
  File "tools/python/convert.py", line 89, in convert
    net_def_with_Data = convert_net(net_name, net_conf, enable_micro)
  File "tools/python/convert.py", line 238, in convert_net
    output_graph_def, quantize_activation_info = mace_transformer.run()
  File "tools/python/transform/transformer.py", line 175, in run
    changed = transformer()
  File "tools/python/transform/transformer.py", line 1962, in quantize_nodes
    self._quantize_activation_info[op.output[i]]
KeyError: 'output'



### Additional context
Looks like the dictionary key 'output' is absent.