First draft of spikegen rate convert function

include/aidge/data/Spikegen.hpp

+/********************************************************************************
+ * Copyright (c) 2025 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_DATA_SPIKEGEN_H_
 #define AIDGE_CORE_DATA_SPIKEGEN_H_
 
-// Spikegen algorithm :
-//
-// time_data = data.repeat(time_steps)
-// spike_data = rate_conv(time_data)
-// return spike_data
+#include "aidge/data/Tensor.hpp"
+namespace Aidge {
+std::shared_ptr<Tensor> spikegenRate(std::shared_ptr<Tensor> tensor);
+}
+
 
 #endif

src/data/SpikeGen.cpp

+/********************************************************************************
+ * Copyright (c) 2025 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 <memory>
+#include <random>
+
+#include "aidge/data/Spikegen.hpp"
+
+namespace Aidge {
+std::shared_ptr<Tensor> rateConvert(const Tensor& tensor) {
+
+    auto result = std::make_shared<Tensor>(tensor.clone());
+
+    // Bernoulli sampling
+    std::random_device rd;
+    std::mt19937 gen(rd());
+    std::uniform_real_distribution<float> dis(0.0f, 1.0f);
+
+    // Clip values between 0 and 1, equivalent to torch.clamp(min=0, max=1)
+    for (size_t i = 0; i < tensor.size(); i++) {
+        auto val = tensor.get<float>(i);
+        val = (val < 0.0f) ? 0.0f : ((val > 1.0f) ? 1.0f : val);
+        auto randomValue = dis(gen);
+        result->set(i, randomValue < val ? 1.0f : 0.0f);
+    }
+
+    return result;
+}
+
+std::shared_ptr<Tensor> spikegenRate(std::shared_ptr<Tensor> tensor) {
+    auto newTensor = tensor->repeat(10);
+
+    newTensor.print(); // DEBUG
+
+    return rateConvert(newTensor);
+}
+}  // namespace Aidge