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/third_party/mindspore/tests/st/compile_cache/
Dtest_ascend_lenet.py29 class LeNet(nn.Cell): class
31 super(LeNet, self).__init__()
87 net = LeNet()
93 net1 = LeNet()
/third_party/mindspore/tests/st/networks/
Dtest_cpu_lenet.py28 class LeNet(nn.Cell): class
30 super(LeNet, self).__init__()
80 net = LeNet()
Dtest_network_main.py25 from models.lenet import LeNet
59 net = LeNet()
Dtest_gpu_lenet.py90 class LeNet(nn.Cell): class
92 super(LeNet, self).__init__()
135 net = LeNet()
/third_party/mindspore/tests/st/recompute/
Dtest_cpu_lenet_recompute.py28 class LeNet(nn.Cell): class
30 super(LeNet, self).__init__()
82 net = LeNet()
/third_party/mindspore/tests/st/armour/
Dtest_pynative_mindarmour.py49 class LeNet(nn.Cell): class
61 super(LeNet, self).__init__()
121 net = LeNet()
145 net = LeNet()
/third_party/mindspore/tests/st/host_device/
Dtest_host_device_lenet.py28 class LeNet(nn.Cell): class
30 super(LeNet, self).__init__()
88 net = LeNet()
/third_party/mindspore/tests/st/pynative/
Dtest_pynative_lenet.py55 class LeNet(nn.Cell): class
67 super(LeNet, self).__init__()
145 net = LeNet()
183 net = LeNet()
/third_party/mindspore/tests/st/nccl/
Dtest_nccl_lenet.py36 class LeNet(nn.Cell): class
38 super(LeNet, self).__init__()
82 net = LeNet()
/third_party/mindspore/tests/st/networks/models/
Dlenet.py21 class LeNet(nn.Cell): class
23 super(LeNet, self).__init__()
/third_party/mindspore/mindspore/lite/examples/train_lenet/
DREADME_CN.md19 本文主要讲解如何在端侧进行LeNet模型训练。首先在服务器或个人笔记本上进行模型转换；然后在安卓设备上训练模型。LeNet由2层卷积和3层全连接层组成，模型结构简单，因此可以在设备上快速训练。
88 │   ├── lenet_export.py # Python script that exports the LeNet model to .mindir
DREADME.md16 This folder holds code for Training-on-Device of a LeNet model. Part of the code runs on a server u…
20 LeNet is a very simple network which is composed of only 5 layers, 2 of which are convolutional lay…
101 │   ├── lenet_export.py # Python script that exports the LeNet model to .mindir
/third_party/mindspore/mindspore/lite/examples/unified_api/
DREADME_CN.md19 本文主要讲解如何在端侧进行LeNet模型训练。首先在服务器或个人笔记本上进行模型转换；然后在安卓设备上训练模型。LeNet由2层卷积和3层全连接层组成，模型结构简单，因此可以在设备上快速训练。
88 │   ├── lenet_export.py # Python script that exports the LeNet model to .mindir
DREADME.md16 This folder holds code for Training-on-Device of a LeNet model. Part of the code runs on a server u…
20 LeNet is a very simple network which is composed of only 5 layers, 2 of which are convolutional lay…
101 │   ├── lenet_export.py # Python script that exports the LeNet model to .mindir
/third_party/mindspore/tests/st/nontask_sink/
Dtest_lenet.py54 class LeNet(nn.Cell): class
66 super(LeNet, self).__init__()
136 net = LeNet()
/third_party/mindspore/tests/st/pynative/ms_function/
Dtest_pynative_lenet_ms_function.py92 class LeNet(nn.Cell): class
104 super(LeNet, self).__init__()
178 net = LeNet()
/third_party/mindspore/tests/ut/python/transform/
Dtest_transform.py119 class LeNet(nn.Cell): class
123 super(LeNet, self).__init__()
/third_party/mindspore/tests/perf_test/
Dtest_lenet.py55 net = LeNet(num_class=num_class)
/third_party/mindspore/mindspore/lite/examples/transfer_learning/
DREADME_CN.md92 │   ├── transfer_learning_export.py # Python script that exports the LeNet model to .mindir
DREADME.md107 │   ├── transfer_learning_export.py # Python script that exports the LeNet model to .mindir
/third_party/mindspore/mindspore/nn/probability/
DREADME.md47 2. Define a Bayesian Neural Network. The bayesian LeNet is used in this example.
255 1. Define a Deep Neural Network. The LeNet is used in this example.
470 …esian LeNet](https://gitee.com/mindspore/mindspore/blob/r1.5/tests/st/probability/bnn_layers/test_…
/third_party/mindspore/
DRELEASE.md2431 4. Supports networks such as LeNet, Alexnet, Resnet, MobileNetV1/V2/V3, and EffectiveNet, and provi…
3069 - LeNet: classic CNN for image classification, which was proposed by Yann LeCun.
3107 - Supported network type: LeNet
3119 - Supported models: AlexNet, LeNet, and LSTM
3125 - Supported model: LeNet