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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-05-21 13:32:43 +0100 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-06-03 14:51:29 +0000 |
commit | 4c5469b192665c94118a8a558787cb9cec2d0765 (patch) | |
tree | 168aa969de8243bdbb1f25247dd9f54d037ae32c /tests/validate_examples/graph_validate_utils.h | |
parent | 43a129e94df41f9ac8bc78b702da5a387ada0494 (diff) | |
download | ComputeLibrary-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 'tests/validate_examples/graph_validate_utils.h')
-rw-r--r-- | tests/validate_examples/graph_validate_utils.h | 9 |
1 files changed, 5 insertions, 4 deletions
diff --git a/tests/validate_examples/graph_validate_utils.h b/tests/validate_examples/graph_validate_utils.h index 485d3c1409..13cc4fa683 100644 --- a/tests/validate_examples/graph_validate_utils.h +++ b/tests/validate_examples/graph_validate_utils.h @@ -453,16 +453,17 @@ public: { ARM_COMPUTE_ERROR_ON(tensor.data_type() != arm_compute::DataType::QASYMM8); - std::mt19937 gen(seed); + const UniformQuantizationInfo qinfo = tensor.quantization_info().uniform(); - uint8_t qasymm8_low = tensor.quantization_info().quantize(low, RoundingPolicy::TO_NEAREST_UP); - uint8_t qasymm8_high = tensor.quantization_info().quantize(high, RoundingPolicy::TO_NEAREST_UP); + uint8_t qasymm8_low = quantize_qasymm8(low, qinfo); + uint8_t qasymm8_high = quantize_qasymm8(high, qinfo); + std::mt19937 gen(seed); std::uniform_int_distribution<uint8_t> distribution(qasymm8_low, qasymm8_high); for(int i = 0; i < tensor.num_elements(); ++i) { - tensor[i] = tensor.quantization_info().quantize(distribution(gen), RoundingPolicy::TO_NEAREST_UP); + tensor[i] = quantize_qasymm8(distribution(gen), qinfo); } } /** Fill S32 tensor with Random values. |