Community challenges feature different modes of competition including Journey, Stick to it!, Teams, and even a collective Group Target! We're always adding new community challenges, so check back often.Įverything is more fun with others. Join bigger community challenges with other steppers on the Stridekick platform. Invite up to nine other people for friendly competition. We connect with the following devices: Fitbit, Apple Watch, Garmin, Withings, Misfit, iPhone 5S+, Apple Health, Polar, and Xiaomi.Ĭhoose from three challenge modes: Leaderboard, Streak, and Target. Connect using your smartphone or enter your activity manually. Don’t have a fitness tracker? No problem. Stridekick connects to a variety fitness trackers so you can compete with your friends no matter which device they use. Sign-up for free, connect a wearable device or smartphone and get moving with others. Compete in free, fun activity challenges with your friends and family–no matter which fitness tracker they have.
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For example, from the next game update, the times of territory battle will only be deducted after you click on Start, and the times will no longer be deducted if you choose to retreat before the battle starts. Due to the lack of experience in this kind of game feature, there are bound to be some flaws and inadequacies in this mode, so our R&D team has made a lot of changes and improvements to this mode in conjunction with player feedback while continuously optimising the model. Territory mode, as our first attempt to create a new model, is naturally the focus of subsequent optimisation. We will gradually optimise and improve some of the game's settings and operations in future. After the update of European War 7: Medieval 1.5, we have received a lot of feedback from our players, including criticism and suggestions for the game, as well as positive compliments for the updated content. 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I can't compete with PC+NVIDIA and that is costing both time and money - A lot of money in the case of the Macbook Pro M1.Image 3 - Installing Pandas 1.3.4 with Anaconda (Image by author)Īnd now open up the Python shell, import Pandas, and print its version: Do you remember what he said after one of the engineers gave a long explanation? It might be worth a look.įor maximum adoption of this platform, it needs to play well with others, especially given the hotbed of research in this area. This reminds me of what Steve said after the Mobile Me debacle. The conflict comes because conda wants to define and control the environment so that there is compatibility between versions of Python and the litany of libraries required. An example of this is using conda to install the environment and using another installer for the metal plugin. There is no published method for installing Tensorflow, the leading ML API, on a Macbook Pro M1 that actually works without breaking something else. Why is this question and its responses marked read only? This given that it is such an important topic affecting the adoption of Macbook Pro M1's. Normalize_img, num_parallel_calls=tf.)ĭs_train = ds_train.shuffle(ds_examples)ĭs_train = ds_train.prefetch(tf.)ĭs_test = ds_test.prefetch(tf.) Return tf.cast(image, tf.float32) / 255., label """Normalizes images: uint8 -> float32.""" (ds_train, ds_test), ds_info = tfds.load( Print("Num GPUs Available: ", len(tf._physical_devices('GPU')))įrom import disable_eager_execution I would appreciate very much any help from Apple support or the developers community. We have more than 50 data scientists in our company and I am leading a research on CoreML and the adoption of the new MacBook Pro as a standard platform to our developers. As a remedy I am now running the same code on Anaconda (Rosetta) and it is taking 50% more time. I have formatted the MacBook several times, followed the instructions on and the problem persists. I'd been successfully running M1 native Python code on a MacBook Pro (13-inch, M1, 2020) using Jupyter Notebook, but since the notebook kernel dies as soon as the M1 CPU is used intensively. Please, I need help to run M1 native Python again! |
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