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, 3 insertions, 3 deletions

diff --git a/tests/validation/reference/Im2Col.cpp b/tests/validation/reference/Im2Col.cpp
index 076b2aba07..4d63696e67 100644
--- a/tests/validation/reference/Im2Col.cpp
+++ b/tests/validation/reference/Im2Col.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -50,7 +50,7 @@ void im2col_nchw(const SimpleTensor<T> &src, SimpleTensor<T> &dst, const Size2D
     const int src_channels  = src.shape().z();
     const int batches       = src.shape().total_size_upper(3);
     const int dst_height    = dst.shape().y();
-    const int pad_val       = is_data_type_quantized_asymmetric(src.data_type()) ? src.quantization_info().offset : 0;
+    const int pad_val       = is_data_type_quantized_asymmetric(src.data_type()) ? src.quantization_info().uniform().offset : 0;
     int       dst_idx       = 0;
 
     // Compute width and height of the convolved tensors
@@ -105,7 +105,7 @@ void im2col_nhwc(const SimpleTensor<T> &src, SimpleTensor<T> &dst, const Size2D
     const int batches       = src.shape().total_size_upper(3);
     const int dst_width     = has_bias ? dst.shape().x() - 1 : dst.shape().x();
     const int dst_height    = dst.shape().y();
-    const int pad_val       = is_data_type_quantized_asymmetric(src.data_type()) ? src.quantization_info().offset : 0;
+    const int pad_val       = is_data_type_quantized_asymmetric(src.data_type()) ? src.quantization_info().uniform().offset : 0;
 
     // Compute width and height of the convolved tensors
     std::pair<unsigned int, unsigned int> convolved_dims = scaled_dimensions(src_width, src_height, kernel_dims.width, kernel_dims.height, conv_info);