From e5e2676409a936431f87d31fb74d825257b20804 Mon Sep 17 00:00:00 2001
From: Eric Kunze <eric.kunze@arm.com>
Date: Tue, 13 Oct 2020 16:11:07 -0700
Subject: Initial checkin of TOSA reference_model and tests

Change-Id: I2f8e7fa63e2ae40203e57d2cc8814bde3b312cb6
Signed-off-by: Eric Kunze <eric.kunze@arm.com>
---
 reference_model/src/ops/type_conversion.h | 162 ++++++++++++++++++++++++++++++
 1 file changed, 162 insertions(+)
 create mode 100644 reference_model/src/ops/type_conversion.h

(limited to 'reference_model/src/ops/type_conversion.h')

diff --git a/reference_model/src/ops/type_conversion.h b/reference_model/src/ops/type_conversion.h
new file mode 100644
index 0000000..6ec4d6d
--- /dev/null
+++ b/reference_model/src/ops/type_conversion.h
@@ -0,0 +1,162 @@
+
+// Copyright (c) 2020, 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 OPS_TYPE_CONVERSION_H
+#define OPS_TYPE_CONVERSION_H
+
+#include "graph_node.h"
+
+using namespace tosa;
+
+namespace TosaReference
+{
+template <int Rank, DType InDtype, DType OutDtype>
+class OpRescale : public GraphNode
+{
+public:
+    OpRescale(TosaAttributeBase* attribute_, TosaQuantInfoBase* qinfo_, uint64_t id_);
+    virtual ~OpRescale();
+
+    virtual int checkTensorAttributes() final;
+    virtual int eval() final;
+
+    using InEigenType  = typename GetEigenType<InDtype>::type;
+    using OutEigenType = typename GetEigenType<OutDtype>::type;
+    using TIn          = Eigen::Tensor<InEigenType, Rank>;
+    using TOut         = Eigen::Tensor<OutEigenType, Rank>;
+
+    static constexpr int32_t QMin = GetQMin<OutDtype>::value;
+    static constexpr int32_t QMax = GetQMax<OutDtype>::value;
+
+protected:
+    TosaRescaleAttribute* attribute;
+    TosaReference::TensorTemplate<TIn>* in;
+    TosaReference::TensorTemplate<TOut>* out;
+};
+
+template <DType InDtype, DType OutDtype>
+class CastHelper
+{
+public:
+    using InEigenType                = typename GetEigenType<InDtype>::type;
+    using OutEigenType               = typename GetEigenType<OutDtype>::type;
+    using FcnType                    = std::function<OutEigenType(InEigenType)>;
+    static constexpr int32_t OutBits = GetNumBits<OutDtype>::value;
+    CastHelper();
+    const FcnType& get_fcn() const
+    {
+        return fcn;
+    }
+
+private:
+    FcnType fcn;
+};
+
+template <DType InDtype>
+class CastHelper<InDtype, DType_BOOL>
+{
+public:
+    using InEigenType  = typename GetEigenType<InDtype>::type;
+    using OutEigenType = typename GetEigenType<DType_BOOL>::type;
+    using FcnType      = std::function<OutEigenType(InEigenType)>;
+    CastHelper();
+    const FcnType& get_fcn() const
+    {
+        return fcn;
+    }
+
+private:
+    FcnType fcn;
+};
+
+template <DType OutDtype>
+class CastHelper<DType_BOOL, OutDtype>
+{
+public:
+    using InEigenType               = typename GetEigenType<DType_BOOL>::type;
+    using OutEigenType              = typename GetEigenType<OutDtype>::type;
+    using FcnType                   = std::function<OutEigenType(InEigenType)>;
+    static constexpr int32_t OutMin = GetQMin<OutDtype>::value;
+    static constexpr int32_t OutMax = GetQMax<OutDtype>::value;
+    CastHelper();
+    const FcnType& get_fcn() const
+    {
+        return fcn;
+    }
+
+private:
+    FcnType fcn;
+};
+
+template <DType InDtype>
+class CastHelper<InDtype, DType_FLOAT>
+{
+public:
+    using InEigenType  = typename GetEigenType<InDtype>::type;
+    using OutEigenType = typename GetEigenType<DType_FLOAT>::type;
+    using FcnType      = std::function<OutEigenType(InEigenType)>;
+    CastHelper();
+    const FcnType& get_fcn() const
+    {
+        return fcn;
+    }
+
+private:
+    FcnType fcn;
+};
+
+template <DType OutDtype>
+class CastHelper<DType_FLOAT, OutDtype>
+{
+public:
+    using InEigenType               = typename GetEigenType<DType_FLOAT>::type;
+    using OutEigenType              = typename GetEigenType<OutDtype>::type;
+    using FcnType                   = std::function<OutEigenType(InEigenType)>;
+    static constexpr int32_t OutMin = GetQMin<OutDtype>::value;
+    static constexpr int32_t OutMax = GetQMax<OutDtype>::value;
+    CastHelper();
+    const FcnType& get_fcn() const
+    {
+        return fcn;
+    }
+
+private:
+    FcnType fcn;
+};
+
+template <int Rank, DType InDtype, DType OutDtype>
+class OpCast : public GraphNode
+{
+public:
+    OpCast(TosaAttributeBase* attribute_, TosaQuantInfoBase* qinfo_, uint64_t id_);
+    virtual ~OpCast();
+
+    virtual int checkTensorAttributes() final;
+    virtual int eval() final;
+
+    using InEigenType  = typename GetEigenType<InDtype>::type;
+    using OutEigenType = typename GetEigenType<OutDtype>::type;
+    using TIn          = Eigen::Tensor<InEigenType, Rank>;
+    using TOut         = Eigen::Tensor<OutEigenType, Rank>;
+
+protected:
+    CastHelper<InDtype, OutDtype> cast_helper;
+    TosaReference::TensorTemplate<TIn>* in;
+    TosaReference::TensorTemplate<TOut>* out;
+};
+
+};    // namespace TosaReference
+
+#endif
-- 
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