Returns the list of input tensors necessary to compute tensor.

Output will always be a list of tensors (potentially with 1 element).

Usage

get_source_inputs(tensor)

Arguments

tensor

The tensor to start from.

Value

List of input tensors.

Example

input <- keras_input(c(3))
output <- input |> layer_dense(4) |> op_multiply(5)
reticulate::py_id(get_source_inputs(output)[[1]]) ==
reticulate::py_id(input)

## [1] TRUE

See also

Other utils:
audio_dataset_from_directory()
clear_session()
config_disable_interactive_logging()
config_disable_traceback_filtering()
config_enable_interactive_logging()
config_enable_traceback_filtering()
config_is_interactive_logging_enabled()
config_is_traceback_filtering_enabled()
get_file()
image_array_save()
image_dataset_from_directory()
image_from_array()
image_load()
image_smart_resize()
image_to_array()
layer_feature_space()
normalize()
pad_sequences()
set_random_seed()
split_dataset()
text_dataset_from_directory()
timeseries_dataset_from_array()
to_categorical()
zip_lists()