COMPMID-2225: Add interface support for new quantized data types.

Add support for:
-QSYMM8, 8-bit quantized symmetric
-QSYMM8_PER_CHANNEL, 8-bit quantized symmetric with per channel quantization

Change-Id: I00c4ff98e44af37419470af61419ee95d0de2463
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1236
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 13 insertions, 6 deletions

diff --git a/src/runtime/CL/functions/CLFullyConnectedLayer.cpp b/src/runtime/CL/functions/CLFullyConnectedLayer.cpp
index 7b9229c4ae..87d4c56a0e 100644
--- a/src/runtime/CL/functions/CLFullyConnectedLayer.cpp
+++ b/src/runtime/CL/functions/CLFullyConnectedLayer.cpp
@@ -41,10 +41,13 @@ Status validate_mm(const ITensorInfo &input, const ITensorInfo &weights, const I
 {
     if(is_data_type_quantized_asymmetric(input.data_type()))
     {
+        const UniformQuantizationInfo iq_info = input.quantization_info().uniform();
+        const UniformQuantizationInfo wq_info = weights.quantization_info().uniform();
+
         // Since we need negative offsets for computing convolution, we need to change QuantizationInfo()
         // Extract and negate input and weights offset
-        const QuantizationInfo input_quantization_info(input.quantization_info().scale, -input.quantization_info().offset);
-        const QuantizationInfo weights_quantization_info(weights.quantization_info().scale, -weights.quantization_info().offset);
+        const QuantizationInfo input_quantization_info(iq_info.scale, -iq_info.offset);
+        const QuantizationInfo weights_quantization_info(wq_info.scale, -wq_info.offset);
 
         // Validate gemmlowp function
         ARM_COMPUTE_RETURN_ON_ERROR(CLGEMMLowpMatrixMultiplyCore::validate(&input.clone()->set_quantization_info(input_quantization_info),
@@ -88,8 +91,8 @@ void CLFullyConnectedLayer::configure_mm(const ICLTensor *input, const ICLTensor
         const QuantizationInfo input_quantization_info   = input->info()->quantization_info();
         const QuantizationInfo weights_quantization_info = weights->info()->quantization_info();
 
-        input->info()->set_quantization_info(QuantizationInfo(input_quantization_info.scale, -input_quantization_info.offset));
-        weights->info()->set_quantization_info(QuantizationInfo(weights_quantization_info.scale, -weights_quantization_info.offset));
+        input->info()->set_quantization_info(QuantizationInfo(input_quantization_info.uniform().scale, -input_quantization_info.uniform().offset));
+        weights->info()->set_quantization_info(QuantizationInfo(weights_quantization_info.uniform().scale, -weights_quantization_info.uniform().offset));
 
         // Configure gemmlowp function
         _mm_gemmlowp.configure(input, weights, nullptr, output);
@@ -230,11 +233,15 @@ void CLFullyConnectedLayer::configure(const ICLTensor *input, const ICLTensor *w
     // Configure output stage for asymmetric quantized types
     if(_is_quantized)
     {
-        float multiplier = input->info()->quantization_info().scale * weights->info()->quantization_info().scale / output->info()->quantization_info().scale;
+        const UniformQuantizationInfo iq_info = input->info()->quantization_info().uniform();
+        const UniformQuantizationInfo wq_info = weights->info()->quantization_info().uniform();
+        const UniformQuantizationInfo oq_info = output->info()->quantization_info().uniform();
+
+        float multiplier = iq_info.scale * wq_info.scale / oq_info.scale;
         int   output_multiplier;
         int   output_shift;
         quantization::calculate_quantized_multiplier_less_than_one(multiplier, &output_multiplier, &output_shift);
-        _gemmlowp_output_stage.configure(&_gemmlowp_output, biases, output, output_multiplier, output_shift, output->info()->quantization_info().offset);
+        _gemmlowp_output_stage.configure(&_gemmlowp_output, biases, output, output_multiplier, output_shift, oq_info.offset);
         _gemmlowp_output.allocator()->allocate();
     }
 }