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-rw-r--r--reference_model/src/generate/generate_fp_special.cc19
-rw-r--r--reference_model/src/ops/ewise_binary.cc29
-rw-r--r--reference_model/src/ops/ewise_binary.h3
-rw-r--r--reference_model/src/ops/type_conversion.cc12
4 files changed, 37 insertions, 26 deletions
diff --git a/reference_model/src/generate/generate_fp_special.cc b/reference_model/src/generate/generate_fp_special.cc
index 3602f51..ff0c4a4 100644
--- a/reference_model/src/generate/generate_fp_special.cc
+++ b/reference_model/src/generate/generate_fp_special.cc
@@ -28,9 +28,10 @@ public:
Zero,
Inf,
NaN,
- Min,
- Max,
+ Min, // Smallest positive normal floating point value
+ Max, // Largest positive floating point value
One,
+ MinDenorm, // Smallest positive denormal floating point value
};
SpecialValue() = default;
@@ -78,6 +79,9 @@ public:
return negative ? -std::numeric_limits<DataType>::max() : std::numeric_limits<DataType>::max();
case One:
return static_cast<DataType>(negative ? -1.0 : 1.0);
+ case MinDenorm:
+ return negative ? -std::numeric_limits<DataType>::denorm_min()
+ : std::numeric_limits<DataType>::denorm_min();
default:
WARNING("[Generator][FS] Uninitialised special value.");
return static_cast<DataType>(0.0);
@@ -110,10 +114,13 @@ TestValues equalOpsTestVals{ { SpecialValue(SpecialValue::Zero), -SpecialValue(S
TestValues addTestVals{ { SpecialValue(SpecialValue::Max), SpecialValue(SpecialValue::One) },
{ SpecialValue(SpecialValue::Inf), -SpecialValue(SpecialValue::Inf) } };
-TestValues defaultTestVals{ { SpecialValue(SpecialValue::Zero) }, { -SpecialValue(SpecialValue::Zero) },
- { SpecialValue(SpecialValue::Inf) }, { -SpecialValue(SpecialValue::Inf) },
- { SpecialValue(SpecialValue::NaN) }, { SpecialValue(SpecialValue::Min) },
- { SpecialValue(SpecialValue::Max) } };
+TestValues defaultTestVals{ { SpecialValue(SpecialValue::Zero) }, { -SpecialValue(SpecialValue::Zero) },
+ { SpecialValue(SpecialValue::Inf) }, { -SpecialValue(SpecialValue::Inf) },
+ { SpecialValue(SpecialValue::Min) }, { -SpecialValue(SpecialValue::Min) },
+ { SpecialValue(SpecialValue::Max) }, { -SpecialValue(SpecialValue::Max) },
+ { SpecialValue(SpecialValue::MinDenorm) }, { -SpecialValue(SpecialValue::MinDenorm) },
+ { SpecialValue(SpecialValue::One) }, { -SpecialValue(SpecialValue::One) },
+ { SpecialValue(SpecialValue::NaN) } };
std::map<Op, TestValues> testValues = { { Op::Op_EQUAL, equalOpsTestVals },
{ Op::Op_GREATER, equalOpsTestVals },
diff --git a/reference_model/src/ops/ewise_binary.cc b/reference_model/src/ops/ewise_binary.cc
index d4a9f2f..bc63535 100644
--- a/reference_model/src/ops/ewise_binary.cc
+++ b/reference_model/src/ops/ewise_binary.cc
@@ -666,18 +666,13 @@ template <int Rank, TOSA_REF_TYPE InDtype>
OpTable<Rank, InDtype>::OpTable(SubgraphTraverser* sgt_, TosaAttributeBase* attribute_, uint64_t id_)
: GraphNode(sgt_, Op_TABLE, id_)
{
- setRequiredOperands(1, 1);
+ setRequiredOperands(2, 1);
setRequiredRank(0, 6);
-
- INIT_ATTRIBUTE(Table);
}
template <int Rank, TOSA_REF_TYPE InDtype>
OpTable<Rank, InDtype>::~OpTable()
-{
- if (attribute)
- delete attribute;
-}
+{}
template <int Rank, TOSA_REF_TYPE InDtype>
int OpTable<Rank, InDtype>::checkTensorAttributes()
@@ -695,16 +690,12 @@ int OpTable<Rank, InDtype>::checkTensorAttributes()
}
ERROR_IF(inputs[0]->getDtype() != InDtype, "OpTable: Unexpected input type");
+ ERROR_IF(inputs[1]->getDtype() != TableDtype, "OpTable: Unexpected table type");
ERROR_IF(outputs[0]->getDtype() != OutDtype, "OpTable: Unexpected output type");
- ERROR_IF(attribute->table().size() != TableNumEntries, "OpTable: table attribute size must be %u", TableNumEntries);
-
- for (uint32_t i = 0; i < TableNumEntries; i++)
- {
- table[i] = (TableEigenType)attribute->table()[i];
- }
- in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]);
- out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]);
+ in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]);
+ table = dynamic_cast<TosaReference::TensorTemplate<TTable>*>(inputs[1]);
+ out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]);
ASSERT_MEM(in && out);
@@ -714,13 +705,15 @@ int OpTable<Rank, InDtype>::checkTensorAttributes()
template <int Rank, TOSA_REF_TYPE InDtype>
int OpTable<Rank, InDtype>::eval()
{
+ ERROR_IF(this->table->getTensor().size() != TableNumEntries, "OpTable: table tensor size must be %u",
+ TableNumEntries);
switch (InDtype)
{
case TOSA_REF_TYPE_INT8:
this->out->getTensor() = this->in->getTensor().unaryExpr([this](InEigenType in) -> OutEigenType {
int32_t input_truncated = std::min<int32_t>(std::max<int32_t>(in, QInMin), QInMax);
int32_t index = input_truncated - QInMin;
- int32_t value = table[index];
+ int32_t value = this->table->getTensor()(index);
return value;
});
@@ -736,8 +729,8 @@ int OpTable<Rank, InDtype>::eval()
int32_t frac = (input_truncated)&0x7F; // 7-bit fraction
// 3. Add REQUIRE CHECK for extreme large/small slopes
- int32_t base = table[index];
- int32_t next = table[index + 1];
+ int32_t base = this->table->getTensor()(index);
+ int32_t next = this->table->getTensor()(index + 1);
int32_t slope = next - base;
REQUIRE(slope <= std::numeric_limits<int16_t>::max() && slope >= std::numeric_limits<int16_t>::min(),
"OpTable: slope out of int16_t range");
diff --git a/reference_model/src/ops/ewise_binary.h b/reference_model/src/ops/ewise_binary.h
index 7ebd852..54c05e3 100644
--- a/reference_model/src/ops/ewise_binary.h
+++ b/reference_model/src/ops/ewise_binary.h
@@ -215,8 +215,7 @@ public:
protected:
TosaReference::TensorTemplate<TIn>* in;
TosaReference::TensorTemplate<TOut>* out;
- TosaTableAttribute* attribute;
- std::array<TableEigenType, TableNumEntries> table;
+ TosaReference::TensorTemplate<TTable>* table;
};
}; // namespace TosaReference
diff --git a/reference_model/src/ops/type_conversion.cc b/reference_model/src/ops/type_conversion.cc
index 9719f07..7c77c22 100644
--- a/reference_model/src/ops/type_conversion.cc
+++ b/reference_model/src/ops/type_conversion.cc
@@ -843,7 +843,19 @@ DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, INT48, INT16);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, INT48, INT32);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, UINT8, INT8);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, UINT8, INT16);
+DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, UINT8, INT32);
+DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, UINT16, INT8);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, UINT16, INT16);
+DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, UINT16, INT32);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, INT8, UINT8);
+DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, INT8, UINT16);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, INT16, UINT8);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, INT16, UINT16);
+DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, INT32, UINT8);
+DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, INT32, UINT16);
+DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, INT48, UINT8);
+DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, INT48, UINT16);
+DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, UINT8, UINT8);
+DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, UINT8, UINT16);
+DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, UINT16, UINT8);
+DEF_INSTANTIATE_RANK0_6_ONE_RANK_TWO_TYPE(OpRescale, UINT16, UINT16);
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-11 06:27:53 +0000