SOT23封装N-Channel场效应MOS管AFN3424S23RG-VB详细介绍

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AFN3424S23RG-VB一款SOT23封装N-Channel场效应MOS管 本文主要介绍了AFN3424S23RG-VB这一款SOT23封装N-Channel场效应MOS管的特点和参数。该MOS管具有高达30V的耐压能力,最大drain-source电流为6.5A,RDS(on)为30mΩ@VGS=10V。同时,该MOS管还具有TrenchFET®PowerMOSFET和100% Rg测试等特点。 在应用方面,该MOS管可以应用于DC/DC变换器等领域。同时,该MOS管还符合RoHS指令2002/95/EC和IEC61249-2-21的要求。 在参数方面,该MOS管具有以下特点: * 耐压能力高达30V * 最大drain-source电流为6.5A * RDS(on)为30mΩ@VGS=10V * TrenchFET®PowerMOSFET * 100% Rg测试 * 符合RoHS指令2002/95/EC和IEC61249-2-21的要求 在应用中,该MOS管可以应用于DC/DC变换器等领域,满足不同的应用需求。同时,该MOS管的高耐压能力和高drain-source电流能力也使其在高频率和高电流应用中具有广泛的应用前景。 此外,该MOS管还具有以下特点: * 高频率和高电流应用 * DC/DC变换器应用 * 符合RoHS指令2002/95/EC和IEC61249-2-21的要求 * TrenchFET®PowerMOSFET和100% Rg测试 AFN3424S23RG-VB是一款功能强大且可靠的N-Channel场效应MOS管,适合广泛的应用领域。

Traceback (most recent call last): File "/home/a/pycharmproject/clothes_try_on_copy/11/PF-AFN-main/PF-AFN_train/train_PBAFN_stage1.py", line 134, in <module> loss_vgg = criterionVGG(x_all[num], cur_person_clothes.cuda()) File "/home/a/.conda/envs/clothes_try_on_copy1/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/a/pycharmproject/clothes_try_on_copy/11/PF-AFN-main/PF-AFN_train/models/networks.py", line 164, in forward x_vgg, y_vgg = self.vgg(x), self.vgg(y) File "/home/a/.conda/envs/clothes_try_on_copy1/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/a/pycharmproject/clothes_try_on_copy/11/PF-AFN-main/PF-AFN_train/models/networks.py", line 150, in forward h_relu5 = self.slice5(h_relu4) File "/home/a/.conda/envs/clothes_try_on_copy1/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/a/.conda/envs/clothes_try_on_copy1/lib/python3.8/site-packages/torch/nn/modules/container.py", line 119, in forward input = module(input) File "/home/a/.conda/envs/clothes_try_on_copy1/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/a/.conda/envs/clothes_try_on_copy1/lib/python3.8/site-packages/torch/nn/modules/pooling.py", line 162, in forward return F.max_pool2d(input, self.kernel_size, self.stride, File "/home/a/.conda/envs/clothes_try_on_copy1/lib/python3.8/site-packages/torch/_jit_internal.py", line 365, in fn return if_false(*args, **kwargs) File "/home/a/.conda/envs/clothes_try_on_copy1/lib/python3.8/site-packages/torch/nn/functional.py", line 659, in _max_pool2d return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode) RuntimeError: Given input size: (512x2x1). Calculated output size: (512x1x0). Output size is too small 进程已结束,退出代码1

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