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Expand Fortran supervised training interface coverage to more input/label and input/output dimension combinations. #79

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azrael417 merged 1 commit into from
Sep 24, 2025
Merged

Expand Fortran supervised training interface coverage to more input/label and input/output dimension combinations. #79

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8 changes: 4 additions & 4 deletions docs/api/f_api.rst
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Expand Up @@ -157,8 +157,8 @@ torchfort_train
For this operation, :code:`T` can be one of :code:`real(real32)`, :code:`real(real64)`

:p character(:) mname [in]: The key of the model instance.
:p T(*) input [in]: An array containing the input data. The last array dimension should be the batch dimension, the other dimensions are the feature dimensions.
:p T(*) label [in]: An array containing the label data. The last array dimension should be the batch dimension. :code:`label` does not need to be of the same shape as :code:`input` but the batch dimension should match. Additionally, :code:`label` should be of the same rank as `input`.
:p T(*) input [in]: An array containing the input data.
:p T(*) label [in]: An array containing the label data.
:p T loss_val [out]: A variable that will hold the loss value computed during the training iteration.
:p integer(int64) stream[in,optional]: CUDA stream to enqueue the operation. This argument is ignored if the model is on the CPU.
:r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
Expand Down Expand Up @@ -196,8 +196,8 @@ torchfort_inference
For this operation, :code:`T` can be one of :code:`real(real32)`, :code:`real(real64)`

:p character(:) mname [in]: The key of the model instance.
:p T(*) input [in]: An array containing the input data. The last array dimension should be the batch dimension, the other dimensions are the feature dimensions.
:p T(*) output [out]: An array which will hold the output of the model. The last array dimension should be the batch dimension. :code:`output` does not need to be of the same shape as :code:`input` but the batch dimension should match. Additionally, :code:`output` should be of the same rank as `input`.
:p T(*) input [in]: An array containing the input data.
:p T(*) output [out]: An array which will hold the output of the model.
:p integer(int64) stream[in,optional]: CUDA stream to enqueue the operation. This argument is ignored if the model is on the CPU.
:r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.

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