How to convert model with 2 input parameters?

Hello,

I am trying to convert model with 2 input parameter - int and image. For now I am getting something like this: Core ML input(s): [name: "style_num__0" shortDescription: "This input is a sequence of length 26" type { imageType { width: 1 height: 1 colorSpace: GRAYSCALE } } , name: "input__0" type { imageType { width: 1000 height: 1000 colorSpace: RGB } } ] Core ML output(s): [name: "Squeeze__0" type { multiArrayType { dataType: DOUBLE } } ]

after doing that: `import tfcoreml

tfcoreml.convert(‘styl.pb’, mlmodel_path=“stylize3.mlmodel”, input_name_shape_dict={“input:0”:[1,1000,1000,3]}, output_feature_names=[“Squeeze:0”], image_input_names= [“input:0”, “style_num:0”])`

[aseemw]

Are you using this model or some other model?

[czater]

yep, this model that I am using