![]() When using theĭataset.map, and Dataset.filter transformations, The Dataset transformations support datasets of any structure. # Use value_type to see the type of value represented by the element spec SparseTensorSpec(TensorShape(), tf.int32) ![]() TensorSpec(shape=(100,), dtype=tf.int32, name=None)))ĭataset4 = tf._tensors(tf.SparseTensor(indices=, ], values=, dense_shape=)) (TensorSpec(shape=(10,), dtype=tf.float32, name=None), (TensorSpec(shape=(), dtype=tf.float32, name=None), TensorSpec(shape=(10,), dtype=tf.float32, name=None)ĭataset2 = tf._tensor_slices( For example: dataset1 = tf._tensor_slices(tf.random.uniform()) Which may be a single component, a tuple of components, or a nested Of tf.TypeSpec objects, matching the structure of the element, The Dataset.element_spec property allows you to inspect the type To be a single component, then you need to explicitly pack it To convert it into tuple and if you would like a list output Would like a list input to be treated as a structure, you need Tensors and list outputs (for example, return values of user-definedįunctions) being coerced into a tuple. ![]() To tf._tensors) being automatically packed as This is becauseĮarly tf.data users felt strongly about list inputs (for example, when passed In particular, list is not a valid construct forĮxpressing the structure of dataset elements. Structure of elements include tuple, dict, NamedTuple, and The Python constructs that can be used to express the (nested) Tf.RaggedTensor, tf.TensorArray, or tf.data.Dataset. ![]() Tf.TypeSpec, including tf.Tensor, tf.sparse.SparseTensor, Of the structure can be of any type representable by The same (nested) structure of components. print(dataset.reduce(0, lambda state, value: state + value).numpy())Ī dataset produces a sequence of elements, where each element is Theįollowing example illustrates how to use the reduce transformation to compute Transformation, which reduces all elements to produce a single result. Or by explicitly creating a Python iterator using iter and consuming itsĪlternatively, dataset elements can be consumed using the reduce Follow the guide at for how to download and setup the required libraries for your platform. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. 01:21:19.132314: W tensorflow/core/common_runtime/gpu/gpu_:2211] Cannot dlopen some GPU libraries. This makes it possible to consume itsĮlements using a for loop: dataset = tf._tensor_slices() Tf.data.Dataset for a complete list of transformations. For example, you canĪpply per-element transformations such as Dataset.map, and multi-element Once you have a Dataset object, you can transform it into a new Dataset byĬhaining method calls on the tf.data.Dataset object. TFRecord format, you can use tf.data.TFRecordDataset(). Tf._tensors() or tf._tensor_slices().Īlternatively, if your input data is stored in a file in the recommended To construct a Dataset from data in memory, you can use To create an input pipeline, you must start with a data source. 01:21:15.838173: E tensorflow/compiler/xla/stream_executor/cuda/cuda_:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 01:21:15.838131: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 01:21:15.838072: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered There are two distinct ways to create a dataset:Ī data source constructs a Dataset from data stored in memory or inĪ data transformation constructs a dataset from one or more Sequence of elements, in which each element consists of one or more components.įor example, in an image pipeline, an element might be a single trainingĮxample, with a pair of tensor components representing the image and its label. The tf.data API introduces a tf.data.Dataset abstraction that represents a Handle large amounts of data, read from different data formats, and perform Pipeline for a text model might involve extracting symbols from raw text data,Ĭonverting them to embedding identifiers with a lookup table, and batching Image, and merge randomly selected images into a batch for training. For example, the pipeline for an image model might aggregateĭata from files in a distributed file system, apply random perturbations to each The tf.data API enables you to build complex input pipelines from simple,
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![]() But there are also some updated takes on previous weapons from the series, like Agents of Doom and Buzz Blades. ![]() Rift Apart introduces a bunch of new weapons, including a topiary weapon that causes enemies caught within its sprinkler to turn into shrubs. We just wish there were a few more instances of this in the game.Ĭombining this super-fast traversal with combat feels even better. Running along, hitting a speed boost, shooting up an environmental ramp and landing on a rail grind feels fluid and satisfying. There are some worlds where you can really make use of the boots and it makes exploring these environments much easier.Ĭhaining up Rift Apart’s traversal options will really see things kicked into gear, though. Once you unlock them, you can speed around the world, making use of speed boosters on the floor to really get some extra momentum. While rifts are useful, it’s the game’s pair of hover boots that really make traversal fun. Rifts are not only practical, proving very handy when it comes to combat, in some cases allowing you to quickly zip behind an enemy and attack them from behind. ![]() Players can utilize the dimensional rifts that appear in the world to pull themselves to out-of-reach areas, with some larger rifts in the world even leading to pocket dimensions where collectables can be found. Undoubtedly Rift Apart’s best feature is its traversal. We wish there were more ridiculous weapons on offer.Rift Apart perfectly walks the line between kid fare and a game for adults, so there’s something there for everyone. Much of it is silly, but the dryness of it means it’s always enjoyable. However, that’s also why the jump back and forth between protagonists can be frustrating, as it makes that gradual connection feel a bit disjointed at times.īut while Rift Apart does have these heartwarming moments, it still keeps the charm and humor we loved from the original series. What we also found particularly endearing is that Insomniac isn’t afraid to highlight character’s vulnerabilities –allowing us to connect with them more. Those who have already played previous games in the series will know of Ratchet’s quest to find the Lombaxes, but it's particularly moving to find that he has finally found another Lombax, only to have them split into different dimensions. While the story’s premise isn’t overly original, there are some neat twists throughout, and the characters help to take it to the next level. Once you find your footing with the story, which in theory isn’t particularly hard to grasp, you’re golden. That being said, everything does converge quite neatly eventually. As you progress, you’re continually offered two levels to pick from – one where Rivet takes center stage and one where Ratchet does – but it means that you’re constantly jumping between the two and can’t entirely grasp onto one story arch wholeheartedly. The dimensional and protagonist split in Rift Apart keeps things fresh, but at times can make the storyline feel a bit staggered. ![]()
![]() These days trucks and four-wheel drive are virtually synonymous, especially in areas that get significant snowfall. Going Off Road? Make Sure Your Truck Is Ready For many owners, their truck's towing capacity is more important than its load capacity, and if that includes you we have the trailer hitches & towing accessories to ensure your rig is up to the task including hitches, balls & mounts, towing mirrors, transmission coolers, hitch accessories, and electrical & wiring necessities, as well as everything you need for the trailer. You can also get an appearance boost with chrome bed bars, rails, and a tailgate handle and tailgate trim. A headache rack is another option for lengthy loads, plus you get cab protection and a style upgrade. truck beds aren't big enough for some cargo, but armed with a bed extender it's possible to safely transport gear with the tailgate down or haul long cargo like ladders, pipe and lumber overhead on a bed rack. ![]() And you can make sure cargo and gear stored in the box are secure and appropriately arranged with our tool boxes and organizers. Hauling can take its toll on the bed keep yours in top shape with protection from a bed mat or liner and bed caps. ![]() Once your gear is in place, you can protect it and give your pickup a sleek look with a hard or soft tonneau cover. Loading and unloading the bed is a cinch with our ramps, bed slides and unloaders. Safe hauling means a properly secured load and we've got the tie downs, straps, and cargo nets to hold any kind of gear. ![]() It's the bed that separates a truck from ordinary vehicles, and you can substantially improve its functionality and looks when you shop in our truck bed accessories department. And you can create a unique space and driving environment with a dash kit, chrome interior trim, and custom door sills. Protect your cabin with floor mats, cargo liners, and seat covers that will preserve your factory carpet and upholstery and add custom style. You get a stunning look which is sure to turn heads and quality illumination which will make you more conspicuous and turn night into day in front of you. These are powerful means of customization which combine both form and function. If your hauler hasn’t got a stealthy look right from the factory, you can go aftermarket and make up your own dark theme with parts and accessories like black bumpers, tinted lights, dark chrome trim pieces, and more. Manufacturers offer blacked-out styling packages for just about any of their truck models. Upgrades may range from simple trim pieces like chrome door handle covers to a completely chromed-out custom grille. Adding tasteful chrome touches here and there is an easy way to dress up your vehicle. With custom truck accessories, you can make a personal statement with your Ford, Chevy, Dodge, Toyota, or any other brand model and give it exclusive looks and upgraded functionality. But that doesn't mean they can't be improved upon. Manufacturers go to great lengths to create distinctive exterior designs which are instantly recognizable. Today’s pickups are designed to work hard and play hard while looking amazing and surrounding the driver with all the comfort features one may ever think of. Gone are the times when trucks were nothing more than rugged workhorses. |
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