Comments (3)
hanjr92
commented on May 22, 2024
topk, flatten,identity 可以通过 tlx.ops使用
mish, swish, hardsigmoid可以通过 tlx.nn 使用
我会尽快添加 numel和nms对应功能
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qiutzh
commented on May 22, 2024
hardswish激活函数也不存在
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hanjr92
commented on May 22, 2024
hardswish nms iou等功能已经添加
from tensorlayerx.
Related Issues (20)
- tensorlayerx.nn.PRelu() does not have build in initialisation，self.build() -> inputs_shape no description HOT 1
- tensorlayerx.nn.MaxPool2d()中无参数return_mask，paddle.nn.MaxPool2D有 HOT 1
- tlx.nn.BatchNorm中act参数下没有Swish激活函数
- tlxnn.AvgPool2d() 中没有参数ceil_mode=True HOT 1
- DataLoader()报错，0.5.6可以正常训练，最新版本会报错，报错如下： HOT 1
- tensorlayerx中没找到与paddle.nn.functional.interpolate功能相同的算子，后续是否会添加？
- tensorlayerx.argmax没有参数keepdim，但paddle.argmax有
- F.unfold()在tensorlayerx中没找到对应方法 HOT 2
- paddle.index_select()在tensorlayerx中没找到对应方法 HOT 2
- tensorlayerx.nn以paddle为backend时没有MaxUnPool2D/Pad2d，但paddle.nn有
- tensorlayerx.nn.ConvTranspose2d没有output_padding参数，但paddle.nn.Conv2DTranspose有 HOT 1
- tlx 没有与paddle.nn.functional模块对应的max_pool2d，avg_pool2d，conv2d_transpose，max_unpool2d，normalize算子 HOT 1
- tensorlayerx.nn.UpSampling2d当data_format="channels_first"和paddle.nn.Upsample输出结果维度不一致
- tensorlayerx没有优化函数的基类， 只能使用tlx.optimizers.paddle_optimizers.Optimizer来判断
- tenorlayerx.nn没有paddle.nn.InstanceNorm2D对应的算子
- tensorlayerx 有么有与paddle.expand对应的算子？ HOT 1
- tensorlayerx.ops.Pad不支持“channels_first”的data_format,后续会补充“channels_first”的格式吗？
- net.set_eval() seems not work well HOT 1
- Pytorch后端NHWC和NCHW问题
- ImportError: cannot import name 'distributed_init' from 'tensorlayerx.backend.ops.load_backend' HOT 5
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