COMPMID-688: Shorten DepthWiseConvolution test name.
Removed biases shape from the dataset which is redundant as it can be computed from the weights shape.
Change-Id: I078b6eeb9e0a42f697e7b311deb86d2a1795872b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/112904
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/tests/datasets/DepthwiseConvolutionLayerDataset.h b/tests/datasets/DepthwiseConvolutionLayerDataset.h
index a2caba9..c5a9f96 100644
--- a/tests/datasets/DepthwiseConvolutionLayerDataset.h
+++ b/tests/datasets/DepthwiseConvolutionLayerDataset.h
@@ -38,18 +38,16 @@
class DepthwiseConvolutionLayerDataset
{
public:
- using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, PadStrideInfo>;
+ using type = std::tuple<TensorShape, TensorShape, TensorShape, PadStrideInfo>;
struct iterator
{
iterator(std::vector<TensorShape>::const_iterator src_it,
std::vector<TensorShape>::const_iterator weights_it,
- std::vector<TensorShape>::const_iterator biases_it,
std::vector<TensorShape>::const_iterator dst_it,
std::vector<PadStrideInfo>::const_iterator infos_it)
: _src_it{ std::move(src_it) },
_weights_it{ std::move(weights_it) },
- _biases_it{ std::move(biases_it) },
_dst_it{ std::move(dst_it) },
_infos_it{ std::move(infos_it) }
{
@@ -60,7 +58,6 @@
std::stringstream description;
description << "In=" << *_src_it << ":";
description << "Weights=" << *_weights_it << ":";
- description << "Biases=" << *_biases_it << ":";
description << "Out=" << *_dst_it << ":";
description << "Info=" << *_infos_it;
return description.str();
@@ -68,14 +65,13 @@
DepthwiseConvolutionLayerDataset::type operator*() const
{
- return std::make_tuple(*_src_it, *_weights_it, *_biases_it, *_dst_it, *_infos_it);
+ return std::make_tuple(*_src_it, *_weights_it, *_dst_it, *_infos_it);
}
iterator &operator++()
{
++_src_it;
++_weights_it;
- ++_biases_it;
++_dst_it;
++_infos_it;
@@ -85,26 +81,24 @@
private:
std::vector<TensorShape>::const_iterator _src_it;
std::vector<TensorShape>::const_iterator _weights_it;
- std::vector<TensorShape>::const_iterator _biases_it;
std::vector<TensorShape>::const_iterator _dst_it;
std::vector<PadStrideInfo>::const_iterator _infos_it;
};
iterator begin() const
{
- return iterator(_src_shapes.begin(), _weight_shapes.begin(), _biases_shapes.begin(), _dst_shapes.begin(), _infos.begin());
+ return iterator(_src_shapes.begin(), _weight_shapes.begin(), _dst_shapes.begin(), _infos.begin());
}
int size() const
{
- return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_biases_shapes.size(), std::min(_dst_shapes.size(), _infos.size()))));
+ return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_dst_shapes.size(), _infos.size())));
}
- void add_config(TensorShape src, TensorShape weights, TensorShape biases, TensorShape dst, PadStrideInfo info)
+ void add_config(TensorShape src, TensorShape weights, TensorShape dst, PadStrideInfo info)
{
_src_shapes.emplace_back(std::move(src));
_weight_shapes.emplace_back(std::move(weights));
- _biases_shapes.emplace_back(std::move(biases));
_dst_shapes.emplace_back(std::move(dst));
_infos.emplace_back(std::move(info));
}
@@ -116,7 +110,6 @@
private:
std::vector<TensorShape> _src_shapes{};
std::vector<TensorShape> _weight_shapes{};
- std::vector<TensorShape> _biases_shapes{};
std::vector<TensorShape> _dst_shapes{};
std::vector<PadStrideInfo> _infos{};
};
@@ -125,20 +118,20 @@
public:
SmallDepthwiseConvolutionLayerDataset()
{
- add_config(TensorShape(7U, 7U, 3U), TensorShape(3U, 3U, 3U), TensorShape(3U), TensorShape(5U, 5U, 3U), PadStrideInfo(1, 1, 0, 0));
- add_config(TensorShape(23U, 27U, 5U), TensorShape(3U, 5U, 5U), TensorShape(5U), TensorShape(11U, 23U, 5U), PadStrideInfo(2, 1, 0, 0));
- add_config(TensorShape(33U, 27U, 7U), TensorShape(7U, 3U, 7U), TensorShape(7U), TensorShape(10U, 13U, 7U), PadStrideInfo(3, 2, 1, 0));
- add_config(TensorShape(33U, 27U, 11U), TensorShape(3U, 3U, 11U), TensorShape(11U), TensorShape(31U, 14U, 11U), PadStrideInfo(1, 2, 0, 1));
- add_config(TensorShape(17U, 31U, 2U), TensorShape(5U, 9U, 2U), TensorShape(2U), TensorShape(15U, 13U, 2U), PadStrideInfo(1, 2, 1, 1));
- add_config(TensorShape(23U, 27U, 5U), TensorShape(11U, 3U, 5U), TensorShape(5U), TensorShape(13U, 13U, 5U), PadStrideInfo(1, 2, 0, 0));
- add_config(TensorShape(17U, 31U, 2U, 3U), TensorShape(5U, 9U, 2U), TensorShape(2U), TensorShape(15U, 13U, 2U, 3U), PadStrideInfo(1, 2, 1, 1));
+ add_config(TensorShape(7U, 7U, 3U), TensorShape(3U, 3U, 3U), TensorShape(5U, 5U, 3U), PadStrideInfo(1, 1, 0, 0));
+ add_config(TensorShape(23U, 27U, 5U), TensorShape(3U, 5U, 5U), TensorShape(11U, 23U, 5U), PadStrideInfo(2, 1, 0, 0));
+ add_config(TensorShape(33U, 27U, 7U), TensorShape(7U, 3U, 7U), TensorShape(10U, 13U, 7U), PadStrideInfo(3, 2, 1, 0));
+ add_config(TensorShape(33U, 27U, 11U), TensorShape(3U, 3U, 11U), TensorShape(31U, 14U, 11U), PadStrideInfo(1, 2, 0, 1));
+ add_config(TensorShape(17U, 31U, 2U), TensorShape(5U, 9U, 2U), TensorShape(15U, 13U, 2U), PadStrideInfo(1, 2, 1, 1));
+ add_config(TensorShape(23U, 27U, 5U), TensorShape(11U, 3U, 5U), TensorShape(13U, 13U, 5U), PadStrideInfo(1, 2, 0, 0));
+ add_config(TensorShape(17U, 31U, 2U, 3U), TensorShape(5U, 9U, 2U), TensorShape(15U, 13U, 2U, 3U), PadStrideInfo(1, 2, 1, 1));
// Asymmetric padding
- add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(7U), TensorShape(11U, 12U, 7U), PadStrideInfo(3, 2, 1, 1, 2, 0, DimensionRoundingType::FLOOR));
- add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(7U), TensorShape(11U, 12U, 7U), PadStrideInfo(3, 2, 1, 1, 0, 2, DimensionRoundingType::FLOOR));
- add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(7U), TensorShape(11U, 12U, 7U), PadStrideInfo(3, 2, 2, 1, 2, 0, DimensionRoundingType::FLOOR));
- add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(7U), TensorShape(11U, 12U, 7U), PadStrideInfo(3, 2, 1, 3, 0, 2, DimensionRoundingType::FLOOR));
- add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(7U), TensorShape(10U, 11U, 7U), PadStrideInfo(3, 2, 1, 0, 1, 0, DimensionRoundingType::FLOOR));
- add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(7U), TensorShape(10U, 11U, 7U), PadStrideInfo(3, 2, 0, 1, 0, 1, DimensionRoundingType::FLOOR));
+ add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(11U, 12U, 7U), PadStrideInfo(3, 2, 1, 1, 2, 0, DimensionRoundingType::FLOOR));
+ add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(11U, 12U, 7U), PadStrideInfo(3, 2, 1, 1, 0, 2, DimensionRoundingType::FLOOR));
+ add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(11U, 12U, 7U), PadStrideInfo(3, 2, 2, 1, 2, 0, DimensionRoundingType::FLOOR));
+ add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(11U, 12U, 7U), PadStrideInfo(3, 2, 1, 3, 0, 2, DimensionRoundingType::FLOOR));
+ add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(10U, 11U, 7U), PadStrideInfo(3, 2, 1, 0, 1, 0, DimensionRoundingType::FLOOR));
+ add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(10U, 11U, 7U), PadStrideInfo(3, 2, 0, 1, 0, 1, DimensionRoundingType::FLOOR));
}
};
@@ -147,12 +140,12 @@
public:
LargeDepthwiseConvolutionLayerDataset()
{
- add_config(TensorShape(233U, 277U, 55U), TensorShape(3U, 3U, 55U), TensorShape(55U), TensorShape(116U, 275U, 55U), PadStrideInfo(2, 1, 0, 0));
- add_config(TensorShape(333U, 277U, 77U), TensorShape(3U, 3U, 77U), TensorShape(77U), TensorShape(111U, 138U, 77U), PadStrideInfo(3, 2, 1, 0));
- add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(22U), TensorShape(177U, 156U, 22U), PadStrideInfo(1, 2, 1, 1));
- add_config(TensorShape(233U, 277U, 55U), TensorShape(3U, 3U, 55U), TensorShape(55U), TensorShape(231U, 138U, 55U), PadStrideInfo(1, 2, 0, 0));
- add_config(TensorShape(333U, 277U, 77U), TensorShape(3U, 3U, 77U), TensorShape(77U), TensorShape(166U, 93U, 77U), PadStrideInfo(2, 3, 0, 1));
- add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(22U), TensorShape(89U, 311U, 22U), PadStrideInfo(2, 1, 1, 1));
+ add_config(TensorShape(233U, 277U, 55U), TensorShape(3U, 3U, 55U), TensorShape(116U, 275U, 55U), PadStrideInfo(2, 1, 0, 0));
+ add_config(TensorShape(333U, 277U, 77U), TensorShape(3U, 3U, 77U), TensorShape(111U, 138U, 77U), PadStrideInfo(3, 2, 1, 0));
+ add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(177U, 156U, 22U), PadStrideInfo(1, 2, 1, 1));
+ add_config(TensorShape(233U, 277U, 55U), TensorShape(3U, 3U, 55U), TensorShape(231U, 138U, 55U), PadStrideInfo(1, 2, 0, 0));
+ add_config(TensorShape(333U, 277U, 77U), TensorShape(3U, 3U, 77U), TensorShape(166U, 93U, 77U), PadStrideInfo(2, 3, 0, 1));
+ add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(89U, 311U, 22U), PadStrideInfo(2, 1, 1, 1));
}
};
@@ -161,10 +154,10 @@
public:
SmallDepthwiseConvolutionLayerDataset3x3()
{
- add_config(TensorShape(7U, 7U, 3U, 2U), TensorShape(3U, 3U, 3U), TensorShape(3U), TensorShape(5U, 5U, 3U, 2U), PadStrideInfo(1, 1, 0, 0));
- add_config(TensorShape(33U, 27U, 11U), TensorShape(3U, 3U, 11U), TensorShape(11U), TensorShape(11U, 14U, 11U), PadStrideInfo(3, 2, 1, 1));
- add_config(TensorShape(21U, 31U, 9U, 4U), TensorShape(3U, 3U, 9U), TensorShape(9U), TensorShape(21U, 15U, 9U, 4U), PadStrideInfo(1, 2, 1, 0));
- add_config(TensorShape(33U, 27U, 11U, 3U), TensorShape(3U, 3U, 11U), TensorShape(11U), TensorShape(31U, 14U, 11U, 3U), PadStrideInfo(1, 2, 0, 1));
+ add_config(TensorShape(7U, 7U, 3U, 2U), TensorShape(3U, 3U, 3U), TensorShape(5U, 5U, 3U, 2U), PadStrideInfo(1, 1, 0, 0));
+ add_config(TensorShape(33U, 27U, 11U), TensorShape(3U, 3U, 11U), TensorShape(11U, 14U, 11U), PadStrideInfo(3, 2, 1, 1));
+ add_config(TensorShape(21U, 31U, 9U, 4U), TensorShape(3U, 3U, 9U), TensorShape(21U, 15U, 9U, 4U), PadStrideInfo(1, 2, 1, 0));
+ add_config(TensorShape(33U, 27U, 11U, 3U), TensorShape(3U, 3U, 11U), TensorShape(31U, 14U, 11U, 3U), PadStrideInfo(1, 2, 0, 1));
}
};
@@ -173,12 +166,12 @@
public:
LargeDepthwiseConvolutionLayerDataset3x3()
{
- add_config(TensorShape(233U, 277U, 55U, 3U), TensorShape(3U, 3U, 55U), TensorShape(55U), TensorShape(116U, 275U, 55U, 3U), PadStrideInfo(2, 1, 0, 0));
- add_config(TensorShape(333U, 277U, 77U), TensorShape(3U, 3U, 77U), TensorShape(77U), TensorShape(111U, 138U, 77U), PadStrideInfo(3, 2, 1, 0));
- add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(22U), TensorShape(177U, 156U, 22U), PadStrideInfo(1, 2, 1, 1));
- add_config(TensorShape(233U, 277U, 55U), TensorShape(3U, 3U, 55U), TensorShape(55U), TensorShape(231U, 138U, 55U), PadStrideInfo(1, 2, 0, 0));
- add_config(TensorShape(333U, 277U, 77U, 5U), TensorShape(3U, 3U, 77U), TensorShape(77U), TensorShape(166U, 93U, 77U, 5U), PadStrideInfo(2, 3, 0, 1));
- add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(22U), TensorShape(89U, 311U, 22U), PadStrideInfo(2, 1, 1, 1));
+ add_config(TensorShape(233U, 277U, 55U, 3U), TensorShape(3U, 3U, 55U), TensorShape(116U, 275U, 55U, 3U), PadStrideInfo(2, 1, 0, 0));
+ add_config(TensorShape(333U, 277U, 77U), TensorShape(3U, 3U, 77U), TensorShape(111U, 138U, 77U), PadStrideInfo(3, 2, 1, 0));
+ add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(177U, 156U, 22U), PadStrideInfo(1, 2, 1, 1));
+ add_config(TensorShape(233U, 277U, 55U), TensorShape(3U, 3U, 55U), TensorShape(231U, 138U, 55U), PadStrideInfo(1, 2, 0, 0));
+ add_config(TensorShape(333U, 277U, 77U, 5U), TensorShape(3U, 3U, 77U), TensorShape(166U, 93U, 77U, 5U), PadStrideInfo(2, 3, 0, 1));
+ add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(89U, 311U, 22U), PadStrideInfo(2, 1, 1, 1));
}
};
} // namespace datasets