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15 changes: 7 additions & 8 deletions aten/src/ATen/native/mps/operations/Linear.mm
Original file line number Diff line number Diff line change
Expand Up @@ -16,9 +16,8 @@ Tensor _mps_linear(

auto weight = (weight_arg.dim() == 1) ? weight_arg.view({1, weight_arg.size(0)}) : weight_arg;

TORCH_CHECK(input.scalar_type() == ScalarType::Double
|| input.scalar_type() == ScalarType::Float
|| input.scalar_type() == ScalarType::Half, "MPS device does not support linear for non-float inputs");
TORCH_CHECK(input.scalar_type() == ScalarType::Float ||
input.scalar_type() == ScalarType::Half, "MPS device does not support linear for non-float inputs");

const Tensor& bias = *(at::borrow_from_optional_tensor(bias_opt));
bool is_bias_defined = bias.defined();
Expand Down Expand Up @@ -145,8 +144,9 @@ Tensor _mps_linear_backward_input(
{
TORCH_CHECK(grad_output.is_mps(),
"mps_linear_backward: grad_output needs to be mps layout");
TORCH_CHECK(weight.device().is_mps() && weight.scalar_type() == kFloat,
"mps_linear_backward: weight needs to be a dense tensor");
TORCH_CHECK(weight.device().is_mps() &&
(weight.scalar_type() == kFloat || (weight.scalar_type() == kHalf)),
"mps_linear_backward: unsupported weights data type: ", weight.scalar_type());

TORCH_CHECK(grad_output.scalar_type() == ScalarType::Double
|| grad_output.scalar_type() == ScalarType::Float
Expand Down Expand Up @@ -228,9 +228,8 @@ Tensor _mps_linear_backward_input(
TORCH_CHECK(grad_output.is_mps() && input.is_mps(),
"_mps_linear_backward: grad_output and input needs to be mps layout");

TORCH_CHECK(grad_output.scalar_type() == ScalarType::Double
|| grad_output.scalar_type() == ScalarType::Float
|| grad_output.scalar_type() == ScalarType::Half, "MPS device does not support linear backward for non-float inputs");
TORCH_CHECK(grad_output.scalar_type() == ScalarType::Float ||
grad_output.scalar_type() == ScalarType::Half, "MPS device does not support linear backward for non-float inputs");

struct CachedGraph : public MPSCachedGraph
{
Expand Down