mirror of https://github.com/llvm/torch-mlir
16 lines
518 B
MLIR
16 lines
518 B
MLIR
|
|
func @fc(
|
|
// TODO: Implement "reshape" so that %image can be passed as batch of 2D tensors.
|
|
%image: tensor<?x?xf32>,
|
|
%weights: tensor<?x?xf32>,
|
|
%biases: tensor<?x?xf32>)
|
|
-> (
|
|
tensor<?x?xf32>
|
|
) {
|
|
%0 = tcf.matmul %weights, %image : (tensor<?x?xf32>, tensor<?x?xf32>) -> tensor<?x?xf32>
|
|
%1 = tcf.add %0, %biases : (tensor<?x?xf32>, tensor<?x?xf32>) -> tensor<?x?xf32>
|
|
// TODO: Implement softmax for classification.
|
|
// For now, this returns a not-terribly useful number.
|
|
return %1 : tensor<?x?xf32>
|
|
}
|