max(logits, dim=1) accuracy = torch.mean(predictions.eq(targets).float()) return accuracy.item() Example 45Source File: mnist_eager.py From Gun-Detector with Apache License 2.0 5 votes def compute_accuracy(logits, labels): predictions = tf.argmax(logits, axis=1, output_type=tf.int64)...
2. yolov5核心代码compute_loss和build_targets理解 defcompute_loss(p,targets,model):# predictions, targets, model# p 预测结果, list[torch.tensor * 3], p[i] = (b, 3, h, w, nc + 5[x,y,w,h,conf]) --- h,w (80, 80)、(40, 40)、 (20, 20)ft=torch.cuda.FloatTensorifp[0]....
To address these challenges, we present NeuRRAM, a 48-core RRAM-CIM hardware encompassing innovations across the full stack of the design. (1) At the device level, 3 million RRAM devices with high analogue programmability are monolithically integrated with CMOS circuits. (2) At the circuit l...