diff options
Diffstat (limited to 'reference_model/src/generate')
-rw-r--r-- | reference_model/src/generate/generate_dot_product.cc | 5 | ||||
-rw-r--r-- | reference_model/src/generate/generate_dot_product.h | 2 | ||||
-rw-r--r-- | reference_model/src/generate/generate_entry.cc | 5 | ||||
-rw-r--r-- | reference_model/src/generate/generate_pseudo_random.cc | 103 | ||||
-rw-r--r-- | reference_model/src/generate/generate_pseudo_random.h | 34 | ||||
-rw-r--r-- | reference_model/src/generate/generate_utils.cc | 11 | ||||
-rw-r--r-- | reference_model/src/generate/generate_utils.h | 10 |
7 files changed, 169 insertions, 1 deletions
diff --git a/reference_model/src/generate/generate_dot_product.cc b/reference_model/src/generate/generate_dot_product.cc index 1d2325f..cbfac4b 100644 --- a/reference_model/src/generate/generate_dot_product.cc +++ b/reference_model/src/generate/generate_dot_product.cc @@ -56,6 +56,11 @@ bool generateMatMul(const TosaReference::GenerateConfig& cfg, void* data, size_t size) { + if (cfg.dataType != DType::DType_FP32) + { + WARNING("[Generator][DP][MatMul] Only supports FP32."); + return false; + } if (cfg.shape.size() != 3) { WARNING("[Generator][DP][MatMul] Tensor shape expected 3 dimensions."); diff --git a/reference_model/src/generate/generate_dot_product.h b/reference_model/src/generate/generate_dot_product.h index 236f577..cd9d4ba 100644 --- a/reference_model/src/generate/generate_dot_product.h +++ b/reference_model/src/generate/generate_dot_product.h @@ -37,7 +37,7 @@ std::unique_ptr<IDotProductGenerator> pickDotProductGenerator(const GenerateConf /// /// \param cfg Generator related meta-data /// \param data Buffer to generate the data to -/// \param size Size of the buffet +/// \param size Size of the buffer /// /// \return True on successful generation bool generateDotProduct(const GenerateConfig& cfg, void* data, size_t size); diff --git a/reference_model/src/generate/generate_entry.cc b/reference_model/src/generate/generate_entry.cc index e7a0044..741cd79 100644 --- a/reference_model/src/generate/generate_entry.cc +++ b/reference_model/src/generate/generate_entry.cc @@ -15,6 +15,7 @@ #include "generate.h" #include "generate_dot_product.h" +#include "generate_pseudo_random.h" #include "generate_utils.h" #include "func_debug.h" @@ -31,6 +32,10 @@ bool generate(const GenerateConfig& cfg, void* data, size_t size) return generateDotProduct(cfg, data, size); break; } + case GeneratorType::PseudoRandom: { + return generatePseudoRandom(cfg, data, size); + break; + } default: { WARNING("[Generator] Unsupported generation mode."); break; diff --git a/reference_model/src/generate/generate_pseudo_random.cc b/reference_model/src/generate/generate_pseudo_random.cc new file mode 100644 index 0000000..858a4b2 --- /dev/null +++ b/reference_model/src/generate/generate_pseudo_random.cc @@ -0,0 +1,103 @@ +// Copyright (c) 2023, ARM Limited. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +#include "generate.h" +#include "generate_utils.h" + +#include <array> +#include <iterator> +#include <limits> +#include <numeric> +#include <random> +#include <string> +#include <type_traits> +#include <vector> + +namespace +{ + +// Random generator +template <typename FP> +class PseudoRandomGeneratorFloat +{ +public: + PseudoRandomGeneratorFloat(uint64_t seed) + : _gen(seed) + { + // Uniform real distribution generates real values in the range [a, b] + // and requires that b - a <= std::numeric_limits<FP>::max() so here + // we choose some arbitrary values that satisfy that condition. + constexpr auto min = std::numeric_limits<FP>::lowest() / 2; + constexpr auto max = std::numeric_limits<FP>::max() / 2; + static_assert(max <= std::numeric_limits<FP>::max() + min); + _unidis = std::uniform_real_distribution<FP>(min, max); + + // Piecewise Constant distribution + const std::array<double, 7> intervals{ min, min + 1000, -1000.0, 0.0, 1000.0, max - 1000, max }; + const std::array<double, 7> weights{ 1.0, 0.1, 1.0, 2.0, 1.0, 0.1, 1.0 }; + _pwcdis = std::piecewise_constant_distribution<FP>(intervals.begin(), intervals.end(), weights.begin()); + } + + FP getRandomUniformFloat() + { + return _unidis(_gen); + } + + FP getRandomPWCFloat() + { + return _pwcdis(_gen); + } + +private: + std::mt19937 _gen; + std::uniform_real_distribution<FP> _unidis; + std::piecewise_constant_distribution<FP> _pwcdis; +}; + +bool generateFP32(const TosaReference::GenerateConfig& cfg, void* data, size_t size) +{ + const TosaReference::PseudoRandomInfo& prinfo = cfg.pseudoRandomInfo; + PseudoRandomGeneratorFloat<float> generator(prinfo.rngSeed); + + float* a = reinterpret_cast<float*>(data); + const auto T = TosaReference::numElementsFromShape(cfg.shape); + for (auto t = 0; t < T; ++t) + { + a[t] = generator.getRandomPWCFloat(); + } + return true; +} + +} // namespace + +namespace TosaReference +{ +bool generatePseudoRandom(const GenerateConfig& cfg, void* data, size_t size) +{ + // Check we support the operator + if (cfg.opType == Op::Op_UNKNOWN) + { + WARNING("[Generator][PR] Unknown operator."); + return false; + } + + switch (cfg.dataType) + { + case DType::DType_FP32: + return generateFP32(cfg, data, size); + default: + WARNING("[Generator][PR] Unsupported type."); + return false; + } +} +} // namespace TosaReference diff --git a/reference_model/src/generate/generate_pseudo_random.h b/reference_model/src/generate/generate_pseudo_random.h new file mode 100644 index 0000000..6796d20 --- /dev/null +++ b/reference_model/src/generate/generate_pseudo_random.h @@ -0,0 +1,34 @@ +// Copyright (c) 2023, ARM Limited. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#ifndef GENERATE_PSEUDO_RANDOM_H_ +#define GENERATE_PSEUDO_RANDOM_H_ + +#include "generate_utils.h" + +namespace TosaReference +{ + +/// \brief Perform pseudo random based generation +/// +/// \param cfg Generator related meta-data +/// \param data Buffer to generate the data to +/// \param size Size of the buffer +/// +/// \return True on successful generation +bool generatePseudoRandom(const GenerateConfig& cfg, void* data, size_t size); + +}; // namespace TosaReference + +#endif // GENERATE_PSEUDO_RANDOM_H_ diff --git a/reference_model/src/generate/generate_utils.cc b/reference_model/src/generate/generate_utils.cc index da16632..bcbf9d7 100644 --- a/reference_model/src/generate/generate_utils.cc +++ b/reference_model/src/generate/generate_utils.cc @@ -39,6 +39,8 @@ NLOHMANN_JSON_SERIALIZE_ENUM(Op, { { Op::Op_UNKNOWN, "UNKNOWN" }, { Op::Op_MATMUL, "MATMUL" }, + { Op::Op_MAX_POOL2D, "MAX_POOL2D" }, + { Op::Op_PAD, "PAD" }, }) } // namespace tosa @@ -78,6 +80,11 @@ void from_json(const nlohmann::json& j, DotProductInfo& dotProductInfo) } } +void from_json(const nlohmann::json& j, PseudoRandomInfo& pseudoRandomInfo) +{ + j.at("rng_seed").get_to(pseudoRandomInfo.rngSeed); +} + void from_json(const nlohmann::json& j, GenerateConfig& cfg) { j.at("data_type").get_to(cfg.dataType); @@ -90,6 +97,10 @@ void from_json(const nlohmann::json& j, GenerateConfig& cfg) { j.at("dot_product_info").get_to(cfg.dotProductInfo); } + if (j.contains("pseudo_random_info")) + { + j.at("pseudo_random_info").get_to(cfg.pseudoRandomInfo); + } } std::optional<GenerateConfig> parseGenerateConfig(const char* json, const char* tensorName) diff --git a/reference_model/src/generate/generate_utils.h b/reference_model/src/generate/generate_utils.h index e8e67bb..0239e98 100644 --- a/reference_model/src/generate/generate_utils.h +++ b/reference_model/src/generate/generate_utils.h @@ -55,6 +55,15 @@ struct DotProductInfo std::array<int32_t, 2> kernel; }; +/// \brief Pseudo random generator meta-data +struct PseudoRandomInfo +{ + PseudoRandomInfo() = default; + + int64_t rngSeed; + // TODO: Add range support +}; + /// \brief Generator configuration struct GenerateConfig { @@ -65,6 +74,7 @@ struct GenerateConfig int32_t inputPos; tosa::Op opType; DotProductInfo dotProductInfo; + PseudoRandomInfo pseudoRandomInfo; }; /// \brief Parse the generator config when given in JSON form |