We went on a trip and used the SWISH for the first time. Great for bringing to work or on a trip where you wont always have time to brush 2-3 times. I have used this everyday for several months and the bottle is over half full, I would say one bottle will last one person almost a year if used once per day with a few taps. I also gargle with this sometimes which helps sooth a sore throat and clear out mucus. Swish is a smooth, non-monotonic function. Swish operation is introduced in this article. You can definitely feel the difference afterwards and the ingredients are genuine and known to be good for your teeth and breath. Short description: Swish performs element-wise activation function on a given input tensor. Swish for 1-2 minutes, spit it out and I gargle and rinse a few times for good measure. I recommend the water though it just says swish with saliva. I take a small swig of water and then tap a few times into my mouth. I have used this product for several months now. To overcome this problem, Swish 13 was introduced, which is a selfgated non-monotonic activation function developed by researchers at Google research lab and which has performed significantly. I like peppermint the best for a blast of fresh, but it comes in other natural flavors. It's a powder not a rinse, needs to dissolve on tongue first. Swish it vigoursly between teeth then all around mouth and tongue and you won't believe how clean your mouth feels. Works great for "when you can't brush" or on the go breath freshning (esp. Rinsing it all away will just wash away the benefits.įirst it's natural/organic and since I've gone organic I won't use anything else. However - (note to the other reviewer who rinses several times) - in order to achieve this, you shouldn't rinse just spit it out, per instructions. I use it after brushing to create an alkaline environment in the mouth, as it's the acids from foods that create the environment for bacterial tooth decay to flourish. I don't see it so much as an alternative to brushing, as an addition to brushing. He used it only once and the sensitivity went away! Crazy! I told him about Tooth Swish and he very reluctantly tried it. We could not get an appointment with the dentist soon enough. More recently, my husband had a filling fall out and had some big-time tooth sensitivity. This stuff is AMAZING! Whenever I get any kind of tooth sensitivity, I just “swish” for at most a couple of days and no more! It can be used alone or with toothpaste / toothsoap. It is showing some remarkable performance increase in the networks like Inception-ResNet-v2 by 0.6 and Mobile NASNet-A. This again shows significiant improvement, even greater than in EfficientNets, which roughly corresponds to the original ~30% improvement reported in the original github comment.The powder tastes great. Recently, Google Brain has proposed a new activation function called Swish. Lastly, we can also see improvements w.r.t the size of a single featuremap. This is due to the fact that bigger models have both bigger as well as more featuremaps. The improvement is significant, especially for bigger EfficientNet models. How much GPU memory is saved?įinally, let’s look at how much improvement in memory allocation we can have with this simple trick.įor different EfficientNet models we see a significant improvement in memory requirements: Efficient-B0 to B7 with/without MemEffSwish Notice this equation only depends on input \(x\) and hence in our forward pass we only need to preserve \(x\). Mathematically, Swish function is defined as: I have written the following script to report memory usage in this post:įirst proposed in paper from Google Brain team, Swish is an activation function that has recently been used in deep learning models, including MobileNetV3 and EfficientNets. All codes discussed below are written using current PyTorch release and hence I assume the reader has basic knowledge of how simple modules can be written in PyTorch. To benchmark the memory usage, I use EfficientNet implementation from MONAI. The content of this post is largely based on the original github comment. What makes this implementation save GPU memory?.How is the memory efficient version Swish implemented?.Why simple Swish implementation is inefficient?.More precisely in this post I will cover: In this (short) blog post I will briefly go over the details of this implementation and explain what enables this implementation to save GPU memory. Recently, while implementing EfficientNet networks I came across a github comment detailing an implementation of Swish activation function that promises saving upto 30% GPU memory usage for EfficientNets.
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