| /* |
| * Copyright (c) 2019 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_GEMMLOWPOUTPUT_DATASET |
| #define ARM_COMPUTE_TEST_GEMMLOWPOUTPUT_DATASET |
| |
| #include "utils/TypePrinter.h" |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Utils.h" |
| |
| using namespace arm_compute; |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace datasets |
| { |
| class GEMMLowpFusedOffsetOutputDataset |
| { |
| public: |
| using type = std::tuple<TensorShape, TensorShape, TensorShape, int32_t, int32_t, GEMMLowpOutputStageInfo>; |
| |
| 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<GEMMLowpOutputStageInfo>::const_iterator output_stage_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) }, |
| _output_stage_it{ std::move(output_stage_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 << "output_type=" << string_from_gemmlowp_output_stage((*_output_stage_it).type) << ":"; |
| description << "output_offset=" << (*_output_stage_it).gemmlowp_offset << ":"; |
| description << "output_multiplier={"; |
| for(auto it = (*_output_stage_it).gemmlowp_multipliers.begin(); it != (*_output_stage_it).gemmlowp_multipliers.end(); ++it) |
| { |
| description << (*it) << ", "; |
| } |
| description << "}:"; |
| description << "output_shift={"; |
| |
| for(auto it = (*_output_stage_it).gemmlowp_shifts.begin(); it != (*_output_stage_it).gemmlowp_shifts.end(); ++it) |
| { |
| description << (*it) << ", "; |
| } |
| description << "}:"; |
| description << "output_min=" << (*_output_stage_it).gemmlowp_min_bound << ":"; |
| description << "output_max=" << (*_output_stage_it).gemmlowp_max_bound << ":"; |
| description << "is_quantized_per_channel=" << (*_output_stage_it).is_quantized_per_channel << ":"; |
| |
| return description.str(); |
| } |
| |
| GEMMLowpFusedOffsetOutputDataset::type operator*() const |
| { |
| return std::make_tuple(*_a_it, *_b_it, *_c_it, *_a_offset_it, *_b_offset_it, *_output_stage_it); |
| } |
| |
| iterator &operator++() |
| { |
| ++_a_it; |
| ++_b_it; |
| ++_c_it; |
| ++_a_offset_it; |
| ++_b_offset_it; |
| ++_output_stage_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<GEMMLowpOutputStageInfo>::const_iterator _output_stage_it; |
| }; |
| |
| iterator begin() const |
| { |
| return iterator(_a_shapes.begin(), _b_shapes.begin(), _c_shapes.begin(), _a_offset.begin(), _b_offset.begin(), _output_stage.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(), _output_stage.size()))))); |
| } |
| |
| void add_config(TensorShape a, TensorShape b, TensorShape c, int32_t a_offset, int32_t b_offset, GEMMLowpOutputStageInfo output_stage) |
| { |
| _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)); |
| _output_stage.emplace_back(std::move(output_stage)); |
| } |
| |
| GEMMLowpOutputStageInfo OutputStageInfo(GEMMLowpOutputStageType type, int32_t offset, int32_t multiplier, int32_t shift, int32_t min, int32_t max) |
| { |
| GEMMLowpOutputStageInfo output_stage = GEMMLowpOutputStageInfo(); |
| output_stage.type = type; |
| output_stage.gemmlowp_offset = offset; |
| output_stage.gemmlowp_multiplier = multiplier; |
| output_stage.gemmlowp_shift = shift; |
| output_stage.gemmlowp_min_bound = min; |
| output_stage.gemmlowp_max_bound = max; |
| output_stage.gemmlowp_multipliers.push_back(multiplier); |
| output_stage.gemmlowp_shifts.push_back(shift); |
| return output_stage; |
| } |
| |
| protected: |
| GEMMLowpFusedOffsetOutputDataset() = default; |
| GEMMLowpFusedOffsetOutputDataset(GEMMLowpFusedOffsetOutputDataset &&) = 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<GEMMLowpOutputStageInfo> _output_stage{}; |
| }; |
| |
| class SmallGEMMLowpFusedOffsetOutputDataset final : public GEMMLowpFusedOffsetOutputDataset |
| { |
| public: |
| SmallGEMMLowpFusedOffsetOutputDataset() |
| { |
| add_config(TensorShape(21U, 1U), TensorShape(43U, 21U), TensorShape(43U, 1U), 0, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, -200, 2, 13, 10, 210)); |
| add_config(TensorShape(21U, 13U), TensorShape(33U, 21U), TensorShape(33U, 13U), 0, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, -100, 2, 13, 10, 210)); |
| add_config(TensorShape(31U, 3U), TensorShape(72U, 31U), TensorShape(72U, 3U), -2, 13, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, 0, 2, 13, 10, 210)); |
| add_config(TensorShape(52U, 13U), TensorShape(33U, 52U), TensorShape(33U, 13U), 0, 4, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, 100, 2, 13, 10, 210)); |
| add_config(TensorShape(52U, 26U), TensorShape(33U, 52U), TensorShape(33U, 26U), -2, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, 0, 2, 13, 10, 210)); |
| add_config(TensorShape(31U, 27U), TensorShape(23U, 31U), TensorShape(23U, 27U), 18, 23, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, 200, 2, 13, 10, 210)); |
| add_config(TensorShape(38U, 43U), TensorShape(21U, 38U), TensorShape(21U, 43U), -3, -2, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, -200, 2, 13, 10, 210)); |
| add_config(TensorShape(32U, 72U), TensorShape(17U, 32U), TensorShape(17U, 72U), -9, 1, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, -100, 2, 13, 10, 210)); |
| |
| add_config(TensorShape(21U, 1U), TensorShape(43U, 21U), TensorShape(43U, 1U), 0, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, -2, 254601600, 10, 10, 210)); |
| add_config(TensorShape(21U, 13U), TensorShape(33U, 21U), TensorShape(33U, 13U), 0, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, -1, 254601600, 10, 10, 210)); |
| add_config(TensorShape(31U, 3U), TensorShape(72U, 31U), TensorShape(72U, 3U), -2, 13, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, 0, 254601600, 10, 10, 210)); |
| add_config(TensorShape(52U, 26U), TensorShape(33U, 52U), TensorShape(33U, 26U), -2, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, 1, 254601600, 10, 10, 210)); |
| add_config(TensorShape(31U, 27U), TensorShape(23U, 31U), TensorShape(23U, 27U), 5, 13, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, 2, 254601602, 10, 10, 210)); |
| add_config(TensorShape(38U, 43U), TensorShape(21U, 38U), TensorShape(21U, 43U), -3, -2, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, -2, 254601602, 10, 10, 210)); |
| add_config(TensorShape(32U, 72U), TensorShape(17U, 32U), TensorShape(17U, 72U), -9, 1, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, -1, 254601602, 10, 10, 210)); |
| } |
| }; |
| |
| class SmallGEMMLowpFusedOffsetOutputPerChannelDataset final : public GEMMLowpFusedOffsetOutputDataset |
| { |
| public: |
| SmallGEMMLowpFusedOffsetOutputPerChannelDataset() |
| { |
| add_config(TensorShape(21U, 1U, 6U), TensorShape(43U, 21U, 6U), TensorShape(43U, 1U, 6U), 0, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, -200, 2, 13, 10, 210)); |
| add_config(TensorShape(21U, 13U, 3U), TensorShape(33U, 21U, 3U), TensorShape(33U, 13U, 3U), 0, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, -100, 2, 13, 10, 210)); |
| add_config(TensorShape(31U, 3U, 2U), TensorShape(72U, 31U, 2U), TensorShape(72U, 3U, 2U), -2, 13, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, 0, 2, 13, 10, 210)); |
| add_config(TensorShape(52U, 13U, 7U), TensorShape(33U, 52U, 7U), TensorShape(33U, 13U, 7U), 0, 4, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, 100, 2, 13, 10, 210)); |
| add_config(TensorShape(52U, 26U, 8U), TensorShape(33U, 52U, 8U), TensorShape(33U, 26U, 8U), -2, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, 0, 2, 13, 10, 210)); |
| } |
| }; |
| class LargeGEMMLowpFusedOffsetOutputDataset final : public GEMMLowpFusedOffsetOutputDataset |
| { |
| public: |
| LargeGEMMLowpFusedOffsetOutputDataset() |
| { |
| add_config(TensorShape(923U, 1U, 15U), TensorShape(871U, 923U, 15U), TensorShape(871U, 1U, 15U), 0, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, -200, 2, 18, 10, 210)); |
| add_config(TensorShape(923U, 429U), TensorShape(871U, 923U), TensorShape(871U, 429U), 0, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, -100, 2, 18, 10, 210)); |
| add_config(TensorShape(873U, 7U), TensorShape(784U, 873U), TensorShape(784U, 7U), -1, 3, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, 0, 2, 18, 10, 210)); |
| add_config(TensorShape(873U, 513U), TensorShape(784U, 873U), TensorShape(784U, 513U), 0, 4, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, 100, 2, 18, 10, 210)); |
| add_config(TensorShape(697U, 872U), TensorShape(563U, 697U), TensorShape(563U, 872U), -2, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, 0, 2, 18, 10, 210)); |
| add_config(TensorShape(1021U, 973U), TensorShape(783U, 1021U), TensorShape(783U, 973U), 5, 13, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, 200, 2, 18, 10, 210)); |
| add_config(TensorShape(681U, 1023U), TensorShape(213U, 681U), TensorShape(213U, 1023U), -3, -2, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, -200, 2, 18, 10, 210)); |
| add_config(TensorShape(941U, 1011U), TensorShape(623U, 941U), TensorShape(623U, 1011U), -9, 1, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN, -100, 2, 18, 10, 210)); |
| |
| add_config(TensorShape(923U, 1U), TensorShape(871U, 923U), TensorShape(871U, 1U), 0, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, -2, 254601600, 15, 10, 210)); |
| add_config(TensorShape(923U, 429U), TensorShape(871U, 923U), TensorShape(871U, 429U), 0, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, -1, 254601600, 15, 10, 210)); |
| add_config(TensorShape(873U, 7U), TensorShape(784U, 873U), TensorShape(784U, 7U), -1, 3, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, 0, 254601600, 15, 10, 210)); |
| add_config(TensorShape(873U, 513U), TensorShape(784U, 873U), TensorShape(784U, 513U), 0, 4, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, 1, 254601600, 15, 10, 210)); |
| add_config(TensorShape(697U, 872U), TensorShape(563U, 697U), TensorShape(563U, 872U), -2, 0, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, 2, 254601602, 15, 10, 210)); |
| add_config(TensorShape(1021U, 973U), TensorShape(783U, 1021U), TensorShape(783U, 973U), 5, 13, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, -2, 254601602, 15, 10, 210)); |
| add_config(TensorShape(681U, 1023U), TensorShape(213U, 681U), TensorShape(213U, 1023U), -3, -2, OutputStageInfo(GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, -1, 254601602, 15, 10, 210)); |
| } |
| }; |
| } // namespace datasets |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_GEMMLOWPOUTPUT_DATASET */ |