Add one graph input tensor declaration to the ONNX input list.
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| type(onnx_tensor_type), | intent(inout), | dimension(:) | :: | graph_inputs | ||
| integer, | intent(inout) | :: | num_inputs | |||
| character(len=*), | intent(in) | :: | name | |||
| integer, | intent(in) | :: | elem_type | |||
| integer, | intent(in) | :: | dim1 | |||
| character(len=*), | intent(in) | :: | dim_param1 | |||
| integer, | intent(in), | optional | :: | dim2 | ||
| character(len=*), | intent(in), | optional | :: | dim_param2 |
subroutine add_graph_input_tensor( & graph_inputs, num_inputs, name, elem_type, & dim1, dim_param1, dim2, dim_param2) !! Add one graph input tensor declaration to the ONNX input list. implicit none ! Arguments type(onnx_tensor_type), intent(inout), dimension(:) :: graph_inputs integer, intent(inout) :: num_inputs character(*), intent(in) :: name integer, intent(in) :: elem_type, dim1 character(*), intent(in) :: dim_param1 integer, optional, intent(in) :: dim2 character(*), optional, intent(in) :: dim_param2 num_inputs = num_inputs + 1 graph_inputs(num_inputs)%name = trim(name) graph_inputs(num_inputs)%elem_type = elem_type if(present(dim2))then allocate(graph_inputs(num_inputs)%dims(2)) allocate(graph_inputs(num_inputs)%dim_params(2)) graph_inputs(num_inputs)%dims = [ dim1, dim2 ] graph_inputs(num_inputs)%dim_params(1) = dim_param1 graph_inputs(num_inputs)%dim_params(2) = dim_param2 else allocate(graph_inputs(num_inputs)%dims(1)) allocate(graph_inputs(num_inputs)%dim_params(1)) graph_inputs(num_inputs)%dims(1) = dim1 graph_inputs(num_inputs)%dim_params(1) = dim_param1 end if end subroutine add_graph_input_tensor