diff options
Diffstat (limited to 'src/runtime/NEON/functions/NESoftmaxLayer.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NESoftmaxLayer.cpp | 19 |
1 files changed, 18 insertions, 1 deletions
diff --git a/src/runtime/NEON/functions/NESoftmaxLayer.cpp b/src/runtime/NEON/functions/NESoftmaxLayer.cpp index 84ecfdaf33..8e6773c5b1 100644 --- a/src/runtime/NEON/functions/NESoftmaxLayer.cpp +++ b/src/runtime/NEON/functions/NESoftmaxLayer.cpp @@ -38,7 +38,7 @@ NESoftmaxLayer::NESoftmaxLayer(std::shared_ptr<IMemoryManager> memory_manager) void NESoftmaxLayer::configure(ITensor *input, ITensor *output, float beta) { - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); // Create intermediate tensors shapes TensorInfo tensor_info_tmp(input->info()->tensor_shape(), input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position()); @@ -67,6 +67,23 @@ void NESoftmaxLayer::configure(ITensor *input, ITensor *output, float beta) _sum.allocator()->allocate(); } +Status NESoftmaxLayer::validate(const ITensorInfo *input, const ITensorInfo *output, float beta) +{ + // Perform validation step + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); + + TensorShape max_sum_shape = input->tensor_shape(); + max_sum_shape.set(0, 1); + + TensorInfo tensor_info_max_sum(input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(max_sum_shape)); + + ARM_COMPUTE_RETURN_ON_ERROR(NELogits1DMaxKernel::validate(input, &tensor_info_max_sum)); + ARM_COMPUTE_RETURN_ON_ERROR(NELogits1DShiftExpSumKernel::validate(input, &tensor_info_max_sum, input, &tensor_info_max_sum, beta)); + ARM_COMPUTE_RETURN_ON_ERROR(NELogits1DNormKernel::validate(input, &tensor_info_max_sum, output)); + + return Status{}; +} + void NESoftmaxLayer::run() { _memory_group.acquire(); |