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authorGeorgios Pinitas <georgios.pinitas@arm.com>2019-05-21 13:32:43 +0100
committerGeorgios Pinitas <georgios.pinitas@arm.com>2019-06-03 14:51:29 +0000
commit4c5469b192665c94118a8a558787cb9cec2d0765 (patch)
tree168aa969de8243bdbb1f25247dd9f54d037ae32c /src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
parent43a129e94df41f9ac8bc78b702da5a387ada0494 (diff)
downloadComputeLibrary-4c5469b192665c94118a8a558787cb9cec2d0765.tar.gz
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>
Diffstat (limited to 'src/runtime/NEON/functions/NEFullyConnectedLayer.cpp')
-rw-r--r--src/runtime/NEON/functions/NEFullyConnectedLayer.cpp16
1 files changed, 10 insertions, 6 deletions
diff --git a/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp b/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
index e1a17db6d4..7a74a7ea90 100644
--- a/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
+++ b/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
@@ -44,8 +44,8 @@ Status validate_mm(const ITensorInfo &input, const ITensorInfo &weights, const I
{
// 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(input.quantization_info().uniform().scale, -input.quantization_info().uniform().offset);
+ const QuantizationInfo weights_quantization_info(weights.quantization_info().uniform().scale, -weights.quantization_info().uniform().offset);
// Validate gemmlowp function
ARM_COMPUTE_RETURN_ON_ERROR(NEGEMMLowpMatrixMultiplyCore::validate(&input.clone()->set_quantization_info(input_quantization_info),
@@ -90,8 +90,8 @@ void NEFullyConnectedLayer::configure_mm(const ITensor *input, const ITensor *we
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);
@@ -227,11 +227,15 @@ void NEFullyConnectedLayer::configure(const ITensor *input, const ITensor *weigh
// 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();
}