From ddc3bea1468054dd6b788be7f14af73b2e3915c5 Mon Sep 17 00:00:00 2001
From: hrouis <houssemeddine.rouis92@gmail.com>
Date: Mon, 13 Nov 2023 13:23:57 +0100
Subject: [PATCH] add Erf operator
---
include/aidge/operator/Erf.hpp | 141 +++++++++++++++++++++++++
python_binding/operator/pybind_Erf.cpp | 27 +++++
2 files changed, 168 insertions(+)
create mode 100644 include/aidge/operator/Erf.hpp
create mode 100644 python_binding/operator/pybind_Erf.cpp
diff --git a/include/aidge/operator/Erf.hpp b/include/aidge/operator/Erf.hpp
new file mode 100644
index 000000000..31157558d
--- /dev/null
+++ b/include/aidge/operator/Erf.hpp
@@ -0,0 +1,141 @@
+/********************************************************************************
+ * Copyright (c) 2023 CEA-List
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Eclipse Public License 2.0 which is available at
+ * http://www.eclipse.org/legal/epl-2.0.
+ *
+ * SPDX-License-Identifier: EPL-2.0
+ *
+ ********************************************************************************/
+
+#ifndef AIDGE_CORE_OPERATOR_ERF_H_
+#define AIDGE_CORE_OPERATOR_ERF_H_
+
+#include <cassert>
+#include <memory>
+#include <vector>
+
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/operator/Operator.hpp"
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/data/Tensor.hpp"
+#include "aidge/data/Data.hpp"
+#include "aidge/graph/Node.hpp"
+#include "aidge/utils/Types.h"
+
+namespace Aidge {
+
+class Erf_Op : public Operator,
+ public Registrable<Erf_Op, std::string, std::unique_ptr<OperatorImpl>(const Erf_Op&)> {
+public:
+ // FIXME: change accessibility
+ std::shared_ptr<Tensor> mInput = std::make_shared<Tensor>();
+ const std::shared_ptr<Tensor> mOutput = std::make_shared<Tensor>();
+
+public:
+ static constexpr const char* Type = "Erf";
+
+ Erf_Op()
+ : Operator(Type)
+ {
+ setDatatype(DataType::Float32);
+ }
+
+ /**
+ * @brief Copy-constructor. Copy the operator attributes and its output tensor(s), but not its input tensors (the new operator has no input associated).
+ * @param op Operator to copy.
+ */
+ Erf_Op(const Erf_Op& op)
+ : Operator(Type),
+ mOutput(std::make_shared<Tensor>(*op.mOutput))
+ {
+ // cpy-ctor
+ setDatatype(op.mOutput->dataType());
+ mImpl = op.mImpl ? Registrar<Erf_Op>::create(mOutput->getImpl()->backend())(*this) : nullptr;
+ }
+
+ /**
+ * @brief Clone the operator using its copy-constructor.
+ * @see Operator::Erf_Op
+ */
+ std::shared_ptr<Operator> clone() const override {
+ return std::make_shared<Erf_Op>(*this);
+ }
+
+ void associateInput(const IOIndex_t inputIdx, std::shared_ptr<Data> data) override final {
+ assert(inputIdx == 0 && "operator supports only 1 input");
+ (void) inputIdx; // avoid unused warning
+ assert(strcmp(data->type(), Tensor::Type)==0 && "input data must be of Tensor type");
+ mInput = std::dynamic_pointer_cast<Tensor>(data);
+ }
+
+ void computeOutputDims() override final {
+ if (!mInput->empty())
+ mOutput->resize(mInput->dims());
+ }
+
+ bool outputDimsForwarded() const override final {
+ return !(mOutput->empty());
+ }
+
+
+ inline Tensor& input(const IOIndex_t /*inputIdx*/) const override final { return *(mInput.get()); }
+ inline Tensor& output(const IOIndex_t /*outputIdx*/) const override final { return *(mOutput.get()); }
+
+
+ inline std::shared_ptr<Tensor> getInput(const IOIndex_t inputIdx) const override final {
+ assert((inputIdx == 0) && "Erf Operator has only 1 input");
+ (void) inputIdx; // avoid unused warning
+ return mInput;
+ }
+ inline std::shared_ptr<Tensor> getOutput(const IOIndex_t outputIdx) const override final {
+ assert((outputIdx == 0) && "Erf Operator has only 1 output");
+ (void) outputIdx; // avoid unused warning
+ return mOutput;
+ }
+
+
+ std::shared_ptr<Data> getRawInput(const IOIndex_t inputIdx) const override final {
+ assert(inputIdx == 0 && "operator supports only 1 input");
+ (void) inputIdx; // avoid unused warning
+ return std::static_pointer_cast<Data>(mInput);
+ }
+ std::shared_ptr<Data> getRawOutput(const IOIndex_t outputIdx) const override final {
+ assert(outputIdx == 0 && "operator supports only 1 output");
+ (void) outputIdx; // avoid unused warning
+ return std::static_pointer_cast<Data>(mOutput);
+ }
+
+
+ void setBackend(const std::string& name) override {
+ mImpl = Registrar<Erf_Op>::create(name)(*this);
+ mOutput->setBackend(name);
+
+ // FIXME: temporary workaround
+ mInput->setBackend(name);
+ }
+ void setDatatype(const DataType& datatype) override {
+ mOutput->setDatatype(datatype);
+
+ // FIXME: temporary workaround
+ mInput->setDatatype(datatype);
+ }
+
+ inline IOIndex_t nbInputs() const noexcept override final { return 1; }
+ inline IOIndex_t nbDataInputs() const noexcept override final { return 1; }
+ inline IOIndex_t nbOutputs() const noexcept override final { return 1; }
+ static const std::vector<std::string> getInputsName(){
+ return {"data_input"};
+ }
+ static const std::vector<std::string> getOutputsName(){
+ return {"data_output"};
+ }
+};
+
+inline std::shared_ptr<Node> Erf(const std::string& name = "") {
+ return std::make_shared<Node>(std::make_shared<Erf_Op>(), name);
+}
+}
+
+#endif /* AIDGE_CORE_OPERATOR_ERF_H_ */
diff --git a/python_binding/operator/pybind_Erf.cpp b/python_binding/operator/pybind_Erf.cpp
new file mode 100644
index 000000000..3c1c7b18b
--- /dev/null
+++ b/python_binding/operator/pybind_Erf.cpp
@@ -0,0 +1,27 @@
+/********************************************************************************
+ * Copyright (c) 2023 CEA-List
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Eclipse Public License 2.0 which is available at
+ * http://www.eclipse.org/legal/epl-2.0.
+ *
+ * SPDX-License-Identifier: EPL-2.0
+ *
+ ********************************************************************************/
+
+#include <pybind11/pybind11.h>
+
+#include "aidge/operator/Erf.hpp"
+#include "aidge/operator/Operator.hpp"
+
+namespace py = pybind11;
+namespace Aidge {
+
+void init_Erf(py::module& m) {
+ py::class_<Erf_Op, std::shared_ptr<Erf_Op>, Operator>(m, "ErfOp", py::multiple_inheritance())
+ .def("get_inputs_name", &Erf_Op::getInputsName)
+ .def("get_outputs_name", &Erf_Op::getOutputsName);
+
+ m.def("Erf", &Erf, py::arg("name") = "");
+}
+} // namespace Aidge
--
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