COMPMID-636 - Extending GEMMLowp validation for NEON intrinsics
Change-Id: Id02a0b3bf5af65dd940b46b2f6634b6a479cf388
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/92275
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
diff --git a/tests/datasets/GEMMLowpDataset.h b/tests/datasets/GEMMLowpDataset.h
new file mode 100644
index 0000000..4bf2a98
--- /dev/null
+++ b/tests/datasets/GEMMLowpDataset.h
@@ -0,0 +1,147 @@
+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_GEMMLOWP_DATASET
+#define ARM_COMPUTE_TEST_GEMMLOWP_DATASET
+
+#include "utils/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GEMMLowpDataset
+{
+public:
+ using type = std::tuple<TensorShape, TensorShape, TensorShape, int32_t, int32_t, int32_t, int32_t, int32_t>;
+
+ struct iterator
+ {
+ iterator(std::vector<TensorShape>::const_iterator a_it,
+ std::vector<TensorShape>::const_iterator b_it,
+ std::vector<TensorShape>::const_iterator c_it,
+ std::vector<int32_t>::const_iterator a_offset_it,
+ std::vector<int32_t>::const_iterator b_offset_it,
+ std::vector<int32_t>::const_iterator c_offset_it,
+ std::vector<int32_t>::const_iterator c_mult_int_it,
+ std::vector<int32_t>::const_iterator out_shift_it)
+ : _a_it{ std::move(a_it) },
+ _b_it{ std::move(b_it) },
+ _c_it{ std::move(c_it) },
+ _a_offset_it{ std::move(a_offset_it) },
+ _b_offset_it{ std::move(b_offset_it) },
+ _c_offset_it{ std::move(c_offset_it) },
+ _c_mult_int_it{ std::move(c_mult_int_it) },
+ _out_shift_it{ std::move(out_shift_it) }
+ {
+ }
+
+ std::string description() const
+ {
+ std::stringstream description;
+ description << "A=" << *_a_it << ":";
+ description << "B=" << *_b_it << ":";
+ description << "C=" << *_c_it << ":";
+ description << "a_offset=" << *_a_offset_it << ":";
+ description << "b_offset=" << *_b_offset_it << ":";
+ description << "c_offset=" << *_c_offset_it << ":";
+ description << "c_mult_int=" << *_c_mult_int_it << ":";
+ description << "out_shift=" << *_out_shift_it << ":";
+ return description.str();
+ }
+
+ GEMMLowpDataset::type operator*() const
+ {
+ return std::make_tuple(*_a_it, *_b_it, *_c_it, *_a_offset_it, *_b_offset_it, *_c_offset_it, *_c_mult_int_it, *_out_shift_it);
+ }
+
+ iterator &operator++()
+ {
+ ++_a_it;
+ ++_b_it;
+ ++_c_it;
+ ++_a_offset_it;
+ ++_b_offset_it;
+ ++_c_offset_it;
+ ++_c_mult_int_it;
+ ++_out_shift_it;
+
+ return *this;
+ }
+
+ private:
+ std::vector<TensorShape>::const_iterator _a_it;
+ std::vector<TensorShape>::const_iterator _b_it;
+ std::vector<TensorShape>::const_iterator _c_it;
+ std::vector<int32_t>::const_iterator _a_offset_it;
+ std::vector<int32_t>::const_iterator _b_offset_it;
+ std::vector<int32_t>::const_iterator _c_offset_it;
+ std::vector<int32_t>::const_iterator _c_mult_int_it;
+ std::vector<int32_t>::const_iterator _out_shift_it;
+ };
+
+ iterator begin() const
+ {
+ return iterator(_a_shapes.begin(), _b_shapes.begin(), _c_shapes.begin(), _a_offset.begin(), _b_offset.begin(), _c_offset.begin(), _c_mult_int.begin(), _out_shift.begin());
+ }
+
+ int size() const
+ {
+ return std::min(_a_shapes.size(), std::min(_b_shapes.size(), std::min(_c_shapes.size(), std::min(_a_offset.size(), std::min(_b_offset.size(), std::min(_c_offset.size(), std::min(_c_mult_int.size(),
+ _out_shift.size())))))));
+ }
+
+ void add_config(TensorShape a, TensorShape b, TensorShape c, int32_t a_offset, int32_t b_offset, int32_t c_offset, int32_t c_mult_int, int32_t out_shift)
+ {
+ _a_shapes.emplace_back(std::move(a));
+ _b_shapes.emplace_back(std::move(b));
+ _c_shapes.emplace_back(std::move(c));
+ _a_offset.emplace_back(std::move(a_offset));
+ _b_offset.emplace_back(std::move(b_offset));
+ _c_offset.emplace_back(std::move(c_offset));
+ _c_mult_int.emplace_back(std::move(c_mult_int));
+ _out_shift.emplace_back(std::move(out_shift));
+ }
+
+protected:
+ GEMMLowpDataset() = default;
+ GEMMLowpDataset(GEMMLowpDataset &&) = default;
+
+private:
+ std::vector<TensorShape> _a_shapes{};
+ std::vector<TensorShape> _b_shapes{};
+ std::vector<TensorShape> _c_shapes{};
+ std::vector<int32_t> _a_offset{};
+ std::vector<int32_t> _b_offset{};
+ std::vector<int32_t> _c_offset{};
+ std::vector<int32_t> _c_mult_int{};
+ std::vector<int32_t> _out_shift{};
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GEMMLOWP_DATASET */