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| author | Won Jeon <won.jeon@arm.com> | 2023-08-10 23:00:22 -0700 |
|---|---|---|
| committer | Won Jeon <won.jeon@arm.com> | 2023-08-16 15:44:40 -0700 |
| commit | ea49f62f7ab81750f19bef011683164fe9bd4080 (patch) | |
| tree | d70004aa7024cfc6c3be6f92cce70d404e0a8b95 /src/TosaDeserialize.cpp | |
| parent | 5857c5ddaf849909cbd2ceb445b7ec9cb5c9ae43 (diff) | |
| download | tosa_mlir_translator-ea49f62f7ab81750f19bef011683164fe9bd4080.tar.gz | |
Add DIM operator and its serialization/deserialization to TOSA MLIR translator
Signed-off-by: Won Jeon <won.jeon@arm.com>
Change-Id: Idf45f0a68f551039cc40a69d90aa5c53098bc238
Diffstat (limited to 'src/TosaDeserialize.cpp')
| -rw-r--r-- | src/TosaDeserialize.cpp | 22 |
1 files changed, 22 insertions, 0 deletions
diff --git a/src/TosaDeserialize.cpp b/src/TosaDeserialize.cpp index 70a19a7..9e646c7 100644 --- a/src/TosaDeserialize.cpp +++ b/src/TosaDeserialize.cpp @@ -87,6 +87,9 @@ mlir::LogicalResult BuildTensorType(mlir::OpBuilder *op_builder, case DType_UINT16: element_type = op_builder->getIntegerType(16, false); break; + case DType_SHAPE: + element_type = op_builder->getIntegerType(64); + break; default: llvm::errs() << "ERROR: unknown type " << EnumNamesDType()[ts->GetDtype()] << "\n"; @@ -860,6 +863,25 @@ TosaMlirOperatorBuilder::build<Op_PAD>(TosaSerializationOperator *op) const { } template <> +std::vector<mlir::Value> +TosaMlirOperatorBuilder::build<Op_DIM>(TosaSerializationOperator *op) const { + mlir::Value input_val = tensor_map->at(op->GetInputTensorNames()[0]); + mlir::RankedTensorType output_type = + tensor_type_map->at(op->GetOutputTensorNames()[0]); + + assert(op->GetAttributeType() == + Attribute_AxisAttribute); // double check attribute type + TosaAxisAttribute *attr = + static_cast<TosaAxisAttribute *>(op->GetAttribute()); + auto axis = op_builder->getI32IntegerAttr(attr->axis()); + + mlir::Operation *mlir_op = + op_builder->create<mlir::tosa::DimOp>(loc, output_type, input_val, axis); + block->push_back(mlir_op); + return std::vector<mlir::Value>({mlir_op->getResult(0)}); +} + +template <> std::vector<mlir::Value> TosaMlirOperatorBuilder::build<Op_TRANSPOSE>( TosaSerializationOperator *op) const { mlir::Value input_val = tensor_map->at(op->GetInputTensorNames()[0]); |