diff options
Diffstat (limited to 'src/runtime/NEON/functions/NESoftmaxLayer.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NESoftmaxLayer.cpp | 13 |
1 files changed, 7 insertions, 6 deletions
diff --git a/src/runtime/NEON/functions/NESoftmaxLayer.cpp b/src/runtime/NEON/functions/NESoftmaxLayer.cpp index 8099029735..750992fca6 100644 --- a/src/runtime/NEON/functions/NESoftmaxLayer.cpp +++ b/src/runtime/NEON/functions/NESoftmaxLayer.cpp @@ -68,14 +68,14 @@ void NESoftmaxLayerGeneric<IS_LOG>::configure_reshape_input_kernel(const ITensor } template <bool IS_LOG> -void NESoftmaxLayerGeneric<IS_LOG>::configure(ITensor *input, ITensor *output, float beta, int32_t reduce_end_axis) +void NESoftmaxLayerGeneric<IS_LOG>::configure(ITensor *input, ITensor *output, float beta, int32_t axis) { // Perform validation step ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - ARM_COMPUTE_ERROR_THROW_ON(NESoftmaxLayerGeneric::validate(input->info(), output->info(), beta, reduce_end_axis)); + ARM_COMPUTE_ERROR_THROW_ON(NESoftmaxLayerGeneric::validate(input->info(), output->info(), beta, axis)); // Convert reduce-before axis (inclusive) to first n axes to reduce - size_t first_n_reduce_axes = dim_index_2_num_dims(reduce_end_axis, static_cast<int32_t>(input->info()->num_dimensions())); + size_t first_n_reduce_axes = dim_index_2_num_dims(axis, static_cast<int32_t>(input->info()->num_dimensions())); // We only need flattening when the number of axes to reduce is greater than 1 _needs_flattening = first_n_reduce_axes > 1; @@ -142,16 +142,17 @@ void NESoftmaxLayerGeneric<IS_LOG>::configure(ITensor *input, ITensor *output, f } template <bool IS_LOG> -Status NESoftmaxLayerGeneric<IS_LOG>::validate(const ITensorInfo *input, const ITensorInfo *output, float beta, int32_t reduce_end_axis) +Status NESoftmaxLayerGeneric<IS_LOG>::validate(const ITensorInfo *input, const ITensorInfo *output, float beta, int32_t axis) { // Perform validation step ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->num_dimensions() > 4, "Only up to 4 dimensions are supported"); ARM_COMPUTE_UNUSED(beta); - ARM_COMPUTE_RETURN_ERROR_ON(reduce_end_axis < static_cast<int32_t>(-input->num_dimensions()) || static_cast<int32_t>(input->num_dimensions()) <= reduce_end_axis); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(axis != 0, "Only axis 0 supported"); + ARM_COMPUTE_RETURN_ERROR_ON(axis < static_cast<int32_t>(-input->num_dimensions()) || static_cast<int32_t>(input->num_dimensions()) <= axis); // Convert reduce-before axis (inclusive) to first n axes to reduce - size_t first_n_reduce_axes = dim_index_2_num_dims(reduce_end_axis, static_cast<int32_t>(input->num_dimensions())); + size_t first_n_reduce_axes = dim_index_2_num_dims(axis, static_cast<int32_t>(input->num_dimensions())); // Create intermediate tensor info DataType tmp_data_type = input->data_type(); |