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authorVidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com>2018-04-27 14:25:30 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:50:48 +0000
commitedf357cdd82318d6b6964f66cfa4be5d9d683985 (patch)
tree95c7db88448a4eff4f801d842c30ce7b8826d926 /src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp
parentb3b1e0b3e349ae607297bbca3f273d3d0dd19679 (diff)
downloadComputeLibrary-edf357cdd82318d6b6964f66cfa4be5d9d683985.tar.gz
COMPMID-1085 : runtime_error thrown by QASYMM8 CLGEMMConvolutionLayer::validate
shape and quantization info were corrected. Error from validate() is forwarded. Validate() tests outside the context of configure()are added. Change-Id: I13f1a02eccda6b595089c4875b21853ca372f2f2 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129323 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp')
-rw-r--r--src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp13
1 files changed, 7 insertions, 6 deletions
diff --git a/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp b/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp
index 87c4a306aa..cf8a6a8a78 100644
--- a/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp
+++ b/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp
@@ -305,7 +305,7 @@ Status CLGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorI
unsigned int mat_weights_cols = weights->dimension(3);
unsigned int mat_weights_rows = weights->dimension(0) * weights->dimension(1) * weights->dimension(2) + bias_element;
- CLConvolutionLayerReshapeWeights::validate(weights, biases, nullptr);
+ ARM_COMPUTE_RETURN_ON_ERROR(CLConvolutionLayerReshapeWeights::validate(weights, is_quantized? nullptr:biases, nullptr));
// Create tensor info for im2col reshaped inputs
const unsigned int mat_input_cols = mat_weights_rows;
@@ -316,7 +316,7 @@ Status CLGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorI
shape_im2col.set(2, 1);
TensorInfo im2col_reshaped_info(shape_im2col, 1, dt, input->fixed_point_position());
im2col_reshaped_info.set_quantization_info(input->quantization_info());
- CLIm2ColKernel::validate(input, &im2col_reshaped_info, Size2D(kernel_width, kernel_height), conv_info, append_bias, dilation);
+ ARM_COMPUTE_RETURN_ON_ERROR(CLIm2ColKernel::validate(input, &im2col_reshaped_info, Size2D(kernel_width, kernel_height), conv_info, append_bias, dilation));
// Create GEMM output tensor
TensorShape shape_gemm = im2col_reshaped_info.tensor_shape();
@@ -327,9 +327,10 @@ Status CLGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorI
TensorInfo info_gemm(shape_gemm, 1, gemm_data_type, input->fixed_point_position());
info_gemm.set_quantization_info(output->quantization_info());
- validate_mm(&im2col_reshaped_info, weights, &info_gemm);
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_mm(&im2col_reshaped_info, weights, &info_gemm));
+ TensorInfo tmp_info(shape_gemm, 1, DataType::QASYMM8, input->fixed_point_position());
+ tmp_info.set_quantization_info(output->quantization_info());
- TensorInfo tmp_info(input->tensor_shape(), 1, DataType::QASYMM8, input->fixed_point_position());
if(is_quantized)
{
float multiplier = input->quantization_info().scale * weights->quantization_info().scale / output->quantization_info().scale;
@@ -340,7 +341,7 @@ Status CLGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorI
}
// Validate Col2Im
- CLCol2ImKernel::validate(is_quantized ? &tmp_info : &info_gemm, output, std::make_pair(conv_w, conv_h));
+ ARM_COMPUTE_RETURN_ON_ERROR(CLCol2ImKernel::validate(is_quantized ? &tmp_info : &info_gemm, output, std::make_pair(conv_w, conv_h)));
if(biases != nullptr)
{
@@ -360,7 +361,7 @@ Status CLGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorI
//Validate Activation Layer
if(act_info.enabled())
{
- CLActivationLayer::validate(output, nullptr, act_info);
+ ARM_COMPUTE_RETURN_ON_ERROR(CLActivationLayer::validate(output, nullptr, act_info));
}
return Status{};