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docs/torchvision/torchvision.datasets

torchvision.datasets

package torchvision.datasets

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The Fashion-MNIST Dataset.

The Fashion-MNIST Dataset.

Value parameters

root: Root directory of dataset where train-images-idx3-ubyte t10k-images-idx3-ubyte exist.
train: If true, creates dataset from train-images-idx3-ubyte, otherwise from t10k-images-idx3-ubyte.

Attributes

Source: MNIST.scala
Supertypes: trait MNISTBase

trait TensorDataset[Float32, Int64]

trait IndexedSeq[(Tensor[Float32], Tensor[Int64])]

trait IndexedSeqOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait IndexedSeq[(Tensor[Float32], Tensor[Int64])]

trait IndexedSeqOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait Seq[(Tensor[Float32], Tensor[Int64])]

trait SeqOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait Seq[(Tensor[Float32], Tensor[Int64])]

trait Equals

trait SeqOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait PartialFunction[Int, (Tensor[Float32], Tensor[Int64])]

trait Int => (Tensor[Float32], Tensor[Int64])

trait Iterable[(Tensor[Float32], Tensor[Int64])]

trait Iterable[(Tensor[Float32], Tensor[Int64])]

trait IterableFactoryDefaults[(Tensor[Float32], Tensor[Int64]), IndexedSeq]

trait IterableOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait IterableOnceOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait IterableOnce[(Tensor[Float32], Tensor[Int64])]

class Object

trait Matchable

class Any
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The MNIST dataset.

The MNIST dataset.

Value parameters

root: Root directory of dataset where train-images-idx3-ubyte t10k-images-idx3-ubyte exist.
train: If true, creates dataset from train-images-idx3-ubyte, otherwise from t10k-images-idx3-ubyte.

Attributes

Source: MNIST.scala
Supertypes: trait MNISTBase

trait TensorDataset[Float32, Int64]

trait IndexedSeq[(Tensor[Float32], Tensor[Int64])]

trait IndexedSeqOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait IndexedSeq[(Tensor[Float32], Tensor[Int64])]

trait IndexedSeqOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait Seq[(Tensor[Float32], Tensor[Int64])]

trait SeqOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait Seq[(Tensor[Float32], Tensor[Int64])]

trait Equals

trait SeqOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait PartialFunction[Int, (Tensor[Float32], Tensor[Int64])]

trait Int => (Tensor[Float32], Tensor[Int64])

trait Iterable[(Tensor[Float32], Tensor[Int64])]

trait Iterable[(Tensor[Float32], Tensor[Int64])]

trait IterableFactoryDefaults[(Tensor[Float32], Tensor[Int64]), IndexedSeq]

trait IterableOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait IterableOnceOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait IterableOnce[(Tensor[Float32], Tensor[Int64])]

class Object

trait Matchable

class Any
Show all

Attributes

Source: MNIST.scala
Supertypes: trait TensorDataset[Float32, Int64]

trait IndexedSeq[(Tensor[Float32], Tensor[Int64])]

trait IndexedSeqOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait IndexedSeq[(Tensor[Float32], Tensor[Int64])]

trait IndexedSeqOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait Seq[(Tensor[Float32], Tensor[Int64])]

trait SeqOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait Seq[(Tensor[Float32], Tensor[Int64])]

trait Equals

trait SeqOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait PartialFunction[Int, (Tensor[Float32], Tensor[Int64])]

trait Int => (Tensor[Float32], Tensor[Int64])

trait Iterable[(Tensor[Float32], Tensor[Int64])]

trait Iterable[(Tensor[Float32], Tensor[Int64])]

trait IterableFactoryDefaults[(Tensor[Float32], Tensor[Int64]), IndexedSeq]

trait IterableOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait IterableOnceOps[(Tensor[Float32], Tensor[Int64]), IndexedSeq, IndexedSeq[(Tensor[Float32], Tensor[Int64])]]

trait IterableOnce[(Tensor[Float32], Tensor[Int64])]

class Object

trait Matchable

class Any
Show all
Known subtypes: class FashionMNIST

class MNIST

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