diff options
Diffstat (limited to 'src/runtime/NEON/functions/NEConvolutionLayer.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NEConvolutionLayer.cpp | 13 |
1 files changed, 8 insertions, 5 deletions
diff --git a/src/runtime/NEON/functions/NEConvolutionLayer.cpp b/src/runtime/NEON/functions/NEConvolutionLayer.cpp index badeb07405..f248821de6 100644 --- a/src/runtime/NEON/functions/NEConvolutionLayer.cpp +++ b/src/runtime/NEON/functions/NEConvolutionLayer.cpp @@ -47,8 +47,7 @@ void NEConvolutionLayer::configure(ITensor *input, const ITensor *weights, const ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); ARM_COMPUTE_ERROR_THROW_ON(NEConvolutionLayer::validate(input->info(), weights->info(), ((biases != nullptr) ? biases->info() : nullptr), output->info(), conv_info, weights_info, dilation, act_info)); - switch(NEConvolutionLayer::get_convolution_method(input->info(), weights->info(), ((biases != nullptr) ? biases->info() : nullptr), output->info(), conv_info, - weights_info, dilation, act_info)) + switch(NEConvolutionLayer::get_convolution_method(input->info(), weights->info(), output->info(), conv_info, weights_info, dilation, act_info)) { case ConvolutionMethod::WINOGRAD: { @@ -80,7 +79,7 @@ void NEConvolutionLayer::configure(ITensor *input, const ITensor *weights, const Status NEConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info, const Size2D &dilation, const ActivationLayerInfo &act_info) { - switch(NEConvolutionLayer::get_convolution_method(input, weights, biases, output, conv_info, weights_info, dilation, act_info)) + switch(NEConvolutionLayer::get_convolution_method(input, weights, output, conv_info, weights_info, dilation, act_info)) { case ConvolutionMethod::WINOGRAD: //Validate Winograd @@ -101,15 +100,19 @@ Status NEConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo return Status{}; } -ConvolutionMethod NEConvolutionLayer::get_convolution_method(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, +ConvolutionMethod NEConvolutionLayer::get_convolution_method(const ITensorInfo *input, const ITensorInfo *weights, + const ITensorInfo *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info, const Size2D &dilation, const ActivationLayerInfo &act_info) { + ARM_COMPUTE_ERROR_ON_NULLPTR(input); + ARM_COMPUTE_ERROR_ON_NULLPTR(output); + ARM_COMPUTE_ERROR_ON_NULLPTR(weights); ARM_COMPUTE_UNUSED(output); ARM_COMPUTE_UNUSED(weights_info); ARM_COMPUTE_UNUSED(act_info); if((input->data_type() == DataType::F32) && (weights->dimension(0) == 3) && (weights->dimension(1) == 3) && (weights->num_dimensions() <= 4) && (conv_info.stride().first == 1) - && (conv_info.stride().second == 1) && (biases != nullptr) && (dilation == Size2D(1U, 1U))) + && (conv_info.stride().second == 1) && (dilation == Size2D(1U, 1U))) { return ConvolutionMethod::WINOGRAD; } |