path: "tensorflow.quantization"
tf_module {
  member_method {
    name: "dequantize"
    argspec: "args=[\'input\', \'min_range\', \'max_range\', \'mode\', \'name\', \'axis\', \'narrow_range\', \'dtype\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'None\', \'None\', \'False\', \"<dtype: \'float32\'>\"], "
  }
  member_method {
    name: "fake_quant_with_min_max_args"
    argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_args_gradient"
    argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_vars"
    argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_vars_gradient"
    argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_vars_per_channel"
    argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_vars_per_channel_gradient"
    argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "quantize"
    argspec: "args=[\'input\', \'min_range\', \'max_range\', \'T\', \'mode\', \'round_mode\', \'name\', \'narrow_range\', \'axis\', \'ensure_minimum_range\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'HALF_AWAY_FROM_ZERO\', \'None\', \'False\', \'None\', \'0.01\'], "
  }
  member_method {
    name: "quantize_and_dequantize"
    argspec: "args=[\'input\', \'input_min\', \'input_max\', \'signed_input\', \'num_bits\', \'range_given\', \'round_mode\', \'name\', \'narrow_range\', \'axis\'], varargs=None, keywords=None, defaults=[\'True\', \'8\', \'False\', \'HALF_TO_EVEN\', \'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "quantize_and_dequantize_v2"
    argspec: "args=[\'input\', \'input_min\', \'input_max\', \'signed_input\', \'num_bits\', \'range_given\', \'round_mode\', \'name\', \'narrow_range\', \'axis\'], varargs=None, keywords=None, defaults=[\'True\', \'8\', \'False\', \'HALF_TO_EVEN\', \'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "quantized_concat"
    argspec: "args=[\'concat_dim\', \'values\', \'input_mins\', \'input_maxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
}