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| author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2018-09-13 16:22:01 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:55:45 +0000 |
| commit | ed5a492ba791d8c8b3334749d4ae946b8f11d13d (patch) | |
| tree | 89c8cd6f705dc88a21c61668164aad079800aff7 /tests/validation/fixtures/NormalizePlanarYUVLayerFixture.h | |
| parent | 7e9391bb14d219cda310bff355669b5964b1f576 (diff) | |
| download | ComputeLibrary-ed5a492ba791d8c8b3334749d4ae946b8f11d13d.tar.gz | |
COMPMID-1586: Add support for NHWC CLDeconvolutionLayer
COMPMID-1651: Fix QASYMM8 CLDeconvolutionLayer
This patch also extends the range of values used for testing Convolution and
Deconvolution to cover quantized [-1.0f, 1.0f].
Change-Id: I8b280669db67bb3ec25bf5d411c8f5954f5b0dab
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/149869
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Tested-by: bsgcomp <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/fixtures/NormalizePlanarYUVLayerFixture.h')
| -rw-r--r-- | tests/validation/fixtures/NormalizePlanarYUVLayerFixture.h | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/tests/validation/fixtures/NormalizePlanarYUVLayerFixture.h b/tests/validation/fixtures/NormalizePlanarYUVLayerFixture.h index 3bb935e49f..93e4e64830 100644 --- a/tests/validation/fixtures/NormalizePlanarYUVLayerFixture.h +++ b/tests/validation/fixtures/NormalizePlanarYUVLayerFixture.h @@ -68,11 +68,10 @@ protected: } else if(is_data_type_quantized_asymmetric(_data_type)) { - const QuantizationInfo quant_info = src_tensor.quantization_info(); - const int min_bound = quant_info.quantize(-1.f, RoundingPolicy::TO_NEAREST_UP); - const int max_bound = quant_info.quantize(1.f, RoundingPolicy::TO_NEAREST_UP); - std::uniform_int_distribution<> distribution(min_bound, max_bound); - std::uniform_int_distribution<> distribution_std(quant_info.quantize(0.1f, RoundingPolicy::TO_NEAREST_UP), max_bound); + const QuantizationInfo quant_info = src_tensor.quantization_info(); + std::pair<int, int> bounds = get_quantized_bounds(quant_info, -1.f, 1.0f); + std::uniform_int_distribution<> distribution(bounds.first, bounds.second); + std::uniform_int_distribution<> distribution_std(quant_info.quantize(0.1f, RoundingPolicy::TO_NEAREST_UP), bounds.second); library->fill(src_tensor, distribution, 0); library->fill(mean_tensor, distribution, 1); library->fill(std_tensor, distribution_std, 2); |