It’s that time of the year which stands for lights, sweets and lots of fun with family and friends. Also known as the festival of lights, India decks up in its best finery as the firecrackers light up the sky. But this is also a time when one has to be careful about keeping one’s eyes safe. Dr Soham Basask, Consultant, Cornea Department at Disha Eye Hospitals shares a few handy tips for you.4If a splinter or something that’s hot and burning gets into the eyes immediately wash with lots of clean water; tap water, drinking water, any clean water will do. You can also apply some ice or cold compress if possible. The best thing is to go to the nearest doctor. Many eye hospitals keep special night and emergency facilities on Diwali open. Also Read – Add new books to your shelf4Wearing plain spectacles goes a long way in protecting your eyes. Many accidents happen while a person tries to be adventurous by bursting crackers in dangerous ways. We commonly receive patients with injuries from bombs which are lit under some earthen pots and burst. Another common cause is when a cracker fails to lights up the first time and then someone tries to blow on it or light it for the second time it bursts on the face of the person. Such activities need to be strictly prohibited. Also Read – Over 2 hours screen time daily will make your kids impulsive4Do not cover crackers with glass bottles, tins, boxes or earthen pots for sound effects. They can burst into tiny pieces and damage your eyes forever. Also, do not go near crackers that have failed to explode.4If you are a contact lens wearer, it is advisable not to wear them while watching or bursting crackers. Contact lenses may cause irritation to the eyes if exposed to high heat for a long time.4In the event of an eye injury, do not rub your eyes or use local remedies like turmeric powder, coconut oil, etc. If there are any particles inside your eyes, it may worsen the injury. Instead, wash your eyes with clean water for about 10 minutes and after that consult an eye specialist at the earliest. 4Make sure you wash your hands properly after making a rangoli or handling fireworks, and before you touch your eyes. The coloured powder, chalk powder and chemicals from the crackers may cause eye irritation and itchiness and in certain cases, irreparable damage.4Even though fireworks may be pretty and bright, it is best to stay away from them. Do not let children light crackers. If they are bursting crackers, there should always be adult supervision.
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AMD has announced the support for TensorFlow v1.8 for their ROCm-enabled GPUs. This includes the Radeon Instinct MI25. ROCm stands for Radeon Open Compute and it is an open-source Hyperscale-class (HPC) platform for GPUs. The platform is programming-language independent. This is a major milestone in AMD’s efforts towards accelerating deep learning. ROCm, the Radeon Open Ecosystem is AMD’s open-source software foundation for GPU computing on Linux. Mayank Daga, Director, Deep Learning Software, AMD stated: “Our TensorFlow implementation leverages MIOpen, a library of highly optimized GPU routines for deep learning.” There is a pre-built whl package made available for a simple install similar to the installation of generic TensorFlow in Linux. They also provide a pre-built Docker image for fast installation. AMD is also working towards upstreaming all the ROCm-specific enhancements to the TensorFlow master repository in addition to supporting TensorFlow v1.8. While they work towards fully upstreaming the enhancements, AMD will be releasing and maintaining future ROCm-enabled TensorFlow versions, like v1.10. In the post, Daga stated, “We believe the future of deep learning optimization, portability, and scalability has its roots in domain-specific compilers. We are motivated by the early results of XLA, and are also working towards enabling and optimizing XLA for AMD GPUs.” Current CPUs which support PCIe Gen3 + PCIe Atomics are: AMD Ryzen CPUs AMD EPYC CPUs Intel Xeon E7 V3 or newer CPUs Intel Xeon E5 v3 or newer CPUs Intel Xeon E3 v3 or newer CPUs Intel Core i7 v4, Core i5 v4, Core i3 v4 or newer CPUs (i.e. Haswell family or newer). The installation is simple, First, you’ll need the open-source ROCm stack. Then, install the rocm library needs to be installed via APT: sudo apt updatesudo apt install rocm-libs miopen-hip cxlactivitylogger And finally, you install TensorFlow itself (via AMD’s pre-built whl package): sudo apt install wget python3-pipwget http://repo.radeon.com/rocm/misc/tensorflow/tensorflow-1.8.0-cp35-cp35m-manylinux1_x86_64.whlpip3 install ./tensorflow-1.8.0-cp35-cp35m-manylinux1_x86_64.whl For more details on how to get started, visit the GitHub repository. There are also examples on image recognition, audio recognition, and multi-gpu training on ImageNet in the GPUOpen website. Read next Nvidia unveils a new Turing architecture: “The world’s first ray tracing GPU” AMD open sources V-EZ, the Vulkan wrapper library Sugar operating system: A new OS to enhance GPU acceleration security in web apps