Shapes used to initialize variables must be fully-defined (no None dimensions).

[RadulDev]

I was trying the tool with the given model, but came across this error. can any one help me guide me through using this tools correctly.

Error:
Shapes used to initialize variables must be fully-defined (no None dimensions). Received: shape=(None,) for variable path='sequential/batch_normalization/gamma'Traceback:

1. load_DeepCC_model("/home/dell/BRC_TCGA")
2. keras::load_model_hdf5(filepath = paste0(prefix, ".hdf5"))
3. load_model(filepath, custom_objects, compile)
4. do.call(keras$models$load_model, args)
5. (structure(function (filepath, custom_objects = NULL, compile = TRUE,
   . safe_mode = TRUE)
   . {
   . cl <- sys.call()
   . cl[[1L]] <- list2
   . call_args <- split_named_unnamed(eval(cl, parent.frame()))
   . result <- py_call_impl(callable, call_args$unnamed, call_args$named)
   . if (py_get_convert(callable))
   . result <- py_to_r(result)
   . if (is.null(result))
   . invisible(result)
   . else result
   . }, class = c("python.builtin.function", "python.builtin.object"
   . ), py_object = ))(filepath = "/home/dell/BRC_TCGA.hdf5",
   . custom_objects = NULL, compile = TRUE)
6. py_call_impl(callable, call_args$unnamed, call_args$named)

[yaolei-leo]

I have the same issue. I downloaded the model from the baidunetdisk (Link: https://pan.baidu.com/s/10ogQPsNa4SksJadT8_ceHA Password: ugeg) given by the author, and it shows the same issue:

Error:
Shapes used to initialize variables must be fully-defined (no None dimensions). Received: shape=(None,) for variable path='sequential/batch_normalization/gamma'Traceback:

It might because the given HDF5 files containing only the weights, while Keras requires both architecture and weights. I am still debugging.