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| author | Tai Ly <tai.ly@arm.com> | 2023-03-28 22:06:56 +0000 |
|---|---|---|
| committer | Tai Ly <tai.ly@arm.com> | 2023-05-05 19:23:15 +0000 |
| commit | a4d748b08accce06fab93e2d2b96e499b35ae89b (patch) | |
| tree | 20a3957e1f45f65f35d5d67ecce1618659e388f0 /reference_model/src/ops/ewise_ternary.cc | |
| parent | 0c71686875618b2e11290273b7a05b88ef8a8aae (diff) | |
| download | reference_model-a4d748b08accce06fab93e2d2b96e499b35ae89b.tar.gz | |
[reference model] Add precise mode
This adds --precise_mode=1 option to tosa_referece_model,
which will cause reference model to convert all floating point tensors
to FP64 tensors and compute all operators accordingly.
Also adds optional -p arguments to test runners tosa_verif_run_tests.py
and tosa_verif_framework_compiler_runner.py to run tests in precise mode
Signed-off-by: Tai Ly <tai.ly@arm.com>
Change-Id: I156055216ad61710096497a8fa1a653be2a602a3
Diffstat (limited to 'reference_model/src/ops/ewise_ternary.cc')
| -rw-r--r-- | reference_model/src/ops/ewise_ternary.cc | 18 |
1 files changed, 10 insertions, 8 deletions
diff --git a/reference_model/src/ops/ewise_ternary.cc b/reference_model/src/ops/ewise_ternary.cc index 4d53ae4..090ce29 100644 --- a/reference_model/src/ops/ewise_ternary.cc +++ b/reference_model/src/ops/ewise_ternary.cc @@ -1,5 +1,5 @@ -// Copyright (c) 2020-2022, ARM Limited. +// Copyright (c) 2020-2023, ARM Limited. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -19,7 +19,7 @@ using namespace TosaReference; using namespace Eigen; using namespace tosa; -template <int Rank, DType Dtype> +template <int Rank, TOSA_REF_TYPE Dtype> OpSelectBase<Rank, Dtype>::OpSelectBase(SubgraphTraverser* sgt_, TosaAttributeBase* attribute_, uint64_t id_) @@ -29,11 +29,11 @@ OpSelectBase<Rank, Dtype>::OpSelectBase(SubgraphTraverser* sgt_, setRequiredRank(0, 6); } -template <int Rank, DType Dtype> +template <int Rank, TOSA_REF_TYPE Dtype> OpSelectBase<Rank, Dtype>::~OpSelectBase() {} -template <int Rank, DType Dtype> +template <int Rank, TOSA_REF_TYPE Dtype> int OpSelectBase<Rank, Dtype>::checkTensorAttributes() { // Check Tosa Level @@ -66,13 +66,13 @@ int OpSelectBase<Rank, Dtype>::checkTensorAttributes() return 0; } -template <int Rank, DType Dtype> +template <int Rank, TOSA_REF_TYPE Dtype> int OpSelectBase<Rank, Dtype>::eval() { FATAL_ERROR("shouldn't be called"); } -template <int Rank, DType Dtype> +template <int Rank, TOSA_REF_TYPE Dtype> int OpSelect<Rank, Dtype>::broadcast() { const std::vector<int>& cond_shape = this->cond->getShape(); @@ -90,7 +90,7 @@ int OpSelect<Rank, Dtype>::broadcast() return 0; } -template <int Rank, DType Dtype> +template <int Rank, TOSA_REF_TYPE Dtype> int OpSelect<Rank, Dtype>::eval() { this->broadcast(); @@ -102,7 +102,7 @@ int OpSelect<Rank, Dtype>::eval() return GraphNode::eval(); } -template <DType Dtype> +template <TOSA_REF_TYPE Dtype> int OpSelect<0, Dtype>::eval() { this->out->getTensor() = this->cond->getTensor().select(this->then_val->getTensor(), this->else_val->getTensor()); @@ -118,6 +118,7 @@ DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelectBase, INT8); DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelectBase, INT16); DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelectBase, INT32); DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelectBase, BOOL); +DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelectBase, FP64); DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, FP16); DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, BF16); @@ -126,3 +127,4 @@ DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, INT8); DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, INT16); DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, INT32); DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, BOOL); +DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, FP64); |