diff options
Diffstat (limited to 'src/runtime/NEON/functions/NEWinogradLayer.cpp')
-rw-r--r-- | src/runtime/NEON/functions/NEWinogradLayer.cpp | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/src/runtime/NEON/functions/NEWinogradLayer.cpp b/src/runtime/NEON/functions/NEWinogradLayer.cpp index f82845c7ad..126be46b2e 100644 --- a/src/runtime/NEON/functions/NEWinogradLayer.cpp +++ b/src/runtime/NEON/functions/NEWinogradLayer.cpp @@ -52,7 +52,7 @@ namespace Status validate_arguments(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights, biases); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights); ARM_COMPUTE_RETURN_ERROR_ON_MSG(weights->dimension(0) != 3 && weights->dimension(0) != 5, "Only 3 and 5 kernels are supported"); ARM_COMPUTE_RETURN_ERROR_ON(weights->num_dimensions() > 4); @@ -83,9 +83,9 @@ NEWinogradLayer::NEWinogradLayer(std::shared_ptr<IMemoryManager> memory_manager) void NEWinogradLayer::configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info) { - ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, biases, output); + ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); ARM_COMPUTE_UNUSED(conv_info); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), weights->info(), biases->info(), output->info(), conv_info)); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), weights->info(), (biases != nullptr) ? biases->info() : nullptr, output->info(), conv_info)); _weights = weights; _input = input; @@ -260,8 +260,8 @@ void NEWinogradLayer::run() Status NEWinogradLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info) { - ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, biases, output); - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, weights, biases, output, conv_info)); + ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); + ARM_COMPUTE_RETURN_ERROR_ON(validate_arguments(input, weights, biases, output, conv_info)); return Status{}; } |