add Reshape operator

include/aidge/backend/cpu/operator/ReshapeImpl.hpp

+/********************************************************************************
+ * 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_CPU_OPERATOR_RESHAPEIMPL_H_
+#define AIDGE_CPU_OPERATOR_RESHAPEIMPL_H_
+
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/operator/Reshape.hpp"
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/utils/Types.h"
+#include <memory>
+#include <vector>
+
+namespace Aidge {
+// class Reshape_Op;
+
+// compute kernel registry for forward and backward
+class ReshapeImplForward_cpu
+    : public Registrable<ReshapeImplForward_cpu, std::tuple<DataType, DataType>, void(const std::size_t, const void*, void*)> {
+};
+class ReshapeImplBackward_cpu
+    : public Registrable<ReshapeImplBackward_cpu, std::tuple<DataType, DataType>, void(const std::size_t, const void*, void*)> {
+};
+
+class ReshapeImpl_cpu : public OperatorImpl {
+public:
+    ReshapeImpl_cpu(const Reshape_Op& op) : OperatorImpl(op) {}
+
+    static std::unique_ptr<ReshapeImpl_cpu> create(const Reshape_Op& op) {
+        return std::make_unique<ReshapeImpl_cpu>(op);
+    }
+
+    NbElts_t getNbRequiredProtected(const IOIndex_t inputIdx) const override final;
+    void forward() override;
+};
+
+namespace {
+static Registrar<Reshape_Op> registrarReshapeImpl_cpu("cpu", Aidge::ReshapeImpl_cpu::create);
+}
+}  // namespace Aidge
+
+#endif /* AIDGE_CPU_OPERATOR_RESHAPEIMPL_H_ */

include/aidge/backend/cpu/operator/ReshapeImpl_forward_kernels.hpp

+/********************************************************************************
+ * 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_CPU_OPERATOR_RESHAPEIMPL_FORWARD_KERNEL_H_
+#define AIDGE_CPU_OPERATOR_RESHAPEIMPL_FORWARD_KERNEL_H_
+
+#include "aidge/utils/Registrar.hpp"
+#include <cmath>
+
+#include "aidge/backend/cpu/operator/ReshapeImpl.hpp"
+
+namespace Aidge {
+template <class I, class O>
+void ReshapeImpl_cpu_forward_kernel(std::size_t inputLength,
+                                    const void* input1_,
+                                    void* output_) {
+
+    const I* input_1 = static_cast<const I*>(input1_);
+    O* output = static_cast<O*>(output_);
+
+    std::copy_n(input_1, inputLength, output);
+}
+
+namespace {
+static Registrar<ReshapeImplForward_cpu> registrarReshapeImplForward_cpu_Float32(
+        {DataType::Float32, DataType::Float32},
+        Aidge::ReshapeImpl_cpu_forward_kernel<float, float>);
+static Registrar<ReshapeImplForward_cpu> registrarReshapeImplForward_cpu_Int32(
+        {DataType::Int32, DataType::Int32},
+        Aidge::ReshapeImpl_cpu_forward_kernel<int, int>);
+static Registrar<ReshapeImplForward_cpu> registrarReshapeImplForward_cpu_Float64(
+        {DataType::Float64, DataType::Float64},
+        Aidge::ReshapeImpl_cpu_forward_kernel<double, double>);
+}  // namespace
+}  // namespace Aidge
+
+#endif /* AIDGE_CPU_OPERATOR_RESHAPEIMPL_FORWARD_KERNEL_H_ */

src/operator/ReshapeImpl.cpp

+/********************************************************************************
+ * 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 <cassert>
+#include <chrono>  // std::chrono::milliseconds
+#include <numeric> // std::accumulate
+#include <thread>  // std::this_thread::sleep_for
+#include <vector>
+
+#include "aidge/operator/Reshape.hpp"
+#include "aidge/utils/Types.h"
+
+#include "aidge/backend/cpu/operator/ReshapeImpl.hpp"
+#include "aidge/backend/cpu/operator/ReshapeImpl_forward_kernels.hpp"
+
+Aidge::NbElts_t Aidge::ReshapeImpl_cpu::getNbRequiredProtected(const Aidge::IOIndex_t /*inputIdx*/) const {
+    // this implementation can be in-place
+    return 0;
+}
+
+void Aidge::ReshapeImpl_cpu::forward() {
+    assert(mOp.getInput(0) && "missing input #0");
+    assert(mOp.getInput(1) && "missing input #1");
+    assert(mOp.getInput(1)->nbDims() == 1 && "input #1 must be a 1D array");
+
+    std::size_t outputSize = 1;
+    
+    int* shape = static_cast<int*>(mOp.getInput(1)->getImpl()->rawPtr());
+    for(std::size_t i= 0; i<mOp.getInput(1)->size(); ++i)
+    {
+        assert(shape[i]>0 && "all input #1 elements must be >0");
+        outputSize *= shape[i];
+    }
+    assert((mOp.getInput(0)->size() == outputSize) &&
+           "the shape given in input #1 must give the same size of input #0");
+
+    // Find the correct kernel type
+    auto kernelFunc = Registrar<ReshapeImplForward_cpu>::create({
+        mOp.getInput(0)->dataType(),
+        mOp.getOutput(0)->dataType()});
+
+    // Call kernel
+    kernelFunc(mOp.getInput(0)->size(),
+               mOp.getInput(0)->getImpl()->rawPtr(),
+               mOp.getOutput(0)->getImpl()->rawPtr());
+}

unit_tests/operator/Test_ReshapeImpl.cpp

+/********************************************************************************
+ * 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 <catch2/catch_test_macros.hpp>
+
+#include "aidge/data/Tensor.hpp"
+#include "aidge/operator/Reshape.hpp"
+
+#include "aidge/backend/cpu.hpp"
+
+#include <memory>
+
+using namespace Aidge;
+
+TEST_CASE("[cpu/operator] Reshape(forward)") {
+    SECTION("1D Tensor") {
+        std::shared_ptr<Tensor> input_1 = std::make_shared<Tensor>(Array1D<float,6> {
+            {1.0, 2.0, 3.0, 4.0, 5.0, 6.0}
+        });
+        std::shared_ptr<Tensor> input_2 =  std::make_shared<Tensor>(Array1D<int,2>{{2, 3}});
+        std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(Array2D<float,2,3> {
+            {
+                {1.0, 2.0, 3.0},
+                {4.0, 5.0, 6.0}
+            }
+        });
+
+        std::shared_ptr<Node> myReshape = Reshape();
+        myReshape->getOperator()->setDatatype(DataType::Float32);
+        myReshape->getOperator()->setBackend("cpu");
+        myReshape->getOperator()->associateInput(0, input_1);
+        myReshape->getOperator()->associateInput(1, input_2);
+        myReshape->getOperator()->computeOutputDims();
+        myReshape->forward();
+
+        float* resPtr = static_cast<float*>(myReshape->getOperator()->getOutput(0)->getImpl()->rawPtr());
+        float* expectedPtr = static_cast<float*>(expectedOutput->getImpl()->rawPtr());
+        for (std::size_t i = 0; i< 6; ++i) {
+            printf("res %f, expected %f", resPtr[i], expectedPtr[i]);
+            REQUIRE(std::abs(resPtr[i]-expectedPtr[i]) < 0.00001);
+        }
+
+    }
+    SECTION("2D Tensor") {
+        std::shared_ptr<Tensor> input_1 = std::make_shared<Tensor>(Array2D<float,2,3> {
+            {
+                {1.0, 2.0, 3.0},
+                {4.0, 5.0, 6.0}
+            }
+
+        });
+        std::shared_ptr<Tensor> input_2 =  std::make_shared<Tensor>(Array1D<int,2>{{3, 2}});
+        std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(Array2D<float,3,2> {
+            {
+                {1.0, 2.0},
+                {3.0, 4.0},
+                {5.0, 6.0}
+            }
+        });
+
+        std::shared_ptr<Node> myReshape = Reshape();
+        myReshape->getOperator()->setDatatype(DataType::Float32);
+        myReshape->getOperator()->setBackend("cpu");
+        myReshape->getOperator()->associateInput(0, input_1);
+        myReshape->getOperator()->associateInput(1, input_2);
+        myReshape->getOperator()->computeOutputDims();
+        myReshape->forward();
+
+        float* resPtr = static_cast<float*>(myReshape->getOperator()->getOutput(0)->getImpl()->rawPtr());
+        float* expectedPtr = static_cast<float*>(expectedOutput->getImpl()->rawPtr());
+        for (std::size_t i = 0; i< 6; ++i) {
+            printf("res %f, expected %f", resPtr[i], expectedPtr[i]);
+            REQUIRE(std::abs(resPtr[i]-expectedPtr[i]) < 0.00001);
+        }
+
+    }
+}
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