// 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 "func_debug.h" #include "verifiers.h" #include #include #include #include namespace TosaReference { namespace { // Accumulator precision template struct AccPrecision; #define two_m42 1.0 / (double)(((int64_t)1) << 42) // 2^-42 template <> struct AccPrecision { static constexpr double precision = (double)(1 << 24); static constexpr double min_normal = two_m42 * two_m42 * two_m42; // 2^-126 }; #undef two_m42 // Generic element validation function template , int> = 0> std::optional validateElement(double ref, double bnd, AccType imp, size_t KS) { double err = 0.0; bool is_valid = true; if (bnd == 0.0) { is_valid = (ref == 0.0) && (imp == 0.0); err = 0.0; } else if (std::isinf(static_cast(bnd))) { // dot product can overflow and there is no accuracy limit is_valid = true; err = 0.0; } else { // 0.0 < bnd < infinity const double bnd_norm = std::max(bnd, AccPrecision::min_normal); const double imp_fp64 = static_cast(imp); const double acc_prec_fp64 = AccPrecision::precision; err = (imp_fp64 - ref) * acc_prec_fp64 / bnd_norm; is_valid = std::abs(err) <= KS; } return is_valid ? std::optional(err) : std::nullopt; } // Generic data validation function template , int> = 0> bool validateData(const double* ref, const double* bnd, const AccType* imp, size_t T, const DotProductVerifyInfo& cfg) { const int32_t S = cfg.s; // TODO - needed for other ops - (max_value(bias_abs) > 0) ? (KS + 1) : KS const int32_t KS = cfg.ks; double out_err_sum = 0.0; double out_err_sumsq = 0.0; for (size_t i = 0; i < T; ++i) { auto out_err = validateElement(ref[i], bnd[i], imp[i], KS); TOSA_REF_REQUIRE(out_err, "data required to be zero or error within range"); out_err_sum += out_err.value(); out_err_sumsq += out_err.value() * out_err.value(); } if (S >= 3 && S <= 5) { // Check error bias magnitude for data sets S which are not positive biased TOSA_REF_REQUIRE(std::abs(out_err_sum) <= 2 * sqrt(KS * T), "bias magnitude is out of range"); } // Check error variance magnitude TOSA_REF_REQUIRE(out_err_sumsq <= 0.4 * KS * T, "error variance magnitude is out of range"); return true; } } // namespace bool verifyDotProduct(const CTensor* ref, const CTensor* refBnd, const CTensor* imp, const DotProductVerifyInfo& dpInfo) { // Validate that tensors are provided TOSA_REF_REQUIRE(ref != nullptr, "reference tensor is missing"); TOSA_REF_REQUIRE(refBnd != nullptr, "reference bounds tensor is missing"); TOSA_REF_REQUIRE(imp != nullptr, "implementation tensor is missing"); // Validate data-type TOSA_REF_REQUIRE(dpInfo.dataType == mapToDType(imp->data_type), "invalid data type in config"); // Get number of dot-product elements const int64_t T = numElements(std::vector(ref->shape, ref->shape + ref->num_dims)); TOSA_REF_REQUIRE(T > 0, "invalid shape for reference tensor"); const double* refData = reinterpret_cast(ref->data); const double* refBndData = reinterpret_cast(refBnd->data); TOSA_REF_REQUIRE(refData != nullptr && refBndData != nullptr, "missing data for reference or bounds tensors"); switch (imp->data_type) { case tosa_datatype_fp32_t: { const float* impData = reinterpret_cast(imp->data); TOSA_REF_REQUIRE(impData != nullptr, "missing data for implementation"); return validateData(refData, refBndData, impData, static_cast(T), dpInfo); break; } default: break; } return false; } } // namespace TosaReference