diff options
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]); |