mace: Segmentation fault for DepthwiseConv2d INT8 (CAFFE)

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1. Make sure your environment is the same with (https://mace.readthedocs.io/en/latest/installation/env_requirement.html).
2. Have you ever read the document for your usage?
3. Check if your issue appears in HOW-TO-DEBUG or FAQ.
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System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 16.04
• NDK version(e.g., 15c): 18b
• GCC version(if compiling for host, e.g., 5.4.0): 5.4.0
• MACE version (Use the command: git describe --long --tags): 0.11.0-rc0
• Python version(2.7): 2.7
• Bazel version (e.g., 0.13.0): 0.16.0

Model deploy file (*.yml)

# The name of library
library_name: model
target_abis: [arm64-v8a]
model_graph_format: file
model_data_format: file
models:
  sp: # model tag, which will be used in model loading and must be specific.
    platform: caffe
    # path to your tensorflow model's pb file. Support local path, http:// and https://
    model_file_path: /models/sp/model-nofc.prototxt
    weight_file_path: /models/sp/model-nofc.caffemodel
    # sha256_checksum of your model's pb file.
    # use this command to get the sha256_checksum --> sha256sum path/to/your/pb/file
    model_sha256_checksum: 54479f5ec821884f5bfcc03cb1f4558275541c6e80d9f33f65cc58562fffe91b 
    weight_sha256_checksum: e9599be0e9d5a5f08b85f9b98d2a76b55463ecb6820efc3bcdbc3ea0050f62a0 
    subgraphs:
      - input_tensors:
          - data
        input_shapes:
          - 1,3,112,112
        input_data_formats:
          - NCHW
        output_tensors:
          - fc1bn
        output_shapes:
          - 1,1,1,512
    obfuscate: 0
    quantize: 1
    quantize_range_file: /mace/overall_range
    runtime: cpu # cpu, gpu or cpu+gpu or dsp
    winograd: 0

Describe the problem

Segmentation fault happens when running quantized depthwise conv2d.

To Reproduce

Steps to reproduce the problem:

1. cd /path/to/mace
2. python tools/converter.py convert --config_file=/path/to/your/model_deployment_file
2. python tools/converter.py run --config_file=/path/to/your/model_deployment_file

Error information / logs

Please include the full log and/or traceback here. https://gist.github.com/gasgallo/619eb23800d7caf46e6e97ed23bfc38a

Additional context

Models runs fine w/o quantization.