a2736515e4a9e55da3798e6a4fcb8b352a17b987,tfcoreml/_layers.py,,conv2d,#Any#Any#,98

Before Change

    W = context.consts[W_name]

  import ipdb
  ipdb.set_trace()

  inp_shape = context.shape_dict[x_name]
  out_shape = context.shape_dict[output_name]

After Change

        "maximum value of quantized weights not available")
    min_W = context.consts[op.inputs[4].name]
    max_W = context.consts[op.inputs[5].name]
    if op.get_attr("Tfilter") == tf.quint8:
      W = ((max_W - min_W)/255.0) * W + min_W
    else:
      assert False, (
        "Only uint8 weights handled currently by the converter")

    context.translated[compat.as_bytes(op.outputs[1].name)] = True
    context.translated[compat.as_bytes(op.outputs[2].name)] = True

  inp_shape = context.shape_dict[x_name]
  out_shape = context.shape_dict[output_name]

Instances