class

GS::Tensor

Inherits Reference < Object

Tensor: shape + strides + data buffer Immutable shape, mutable data

Constructors

arange(start : Float32, stop : Float32, step : Float32 = 1.0_f32, device : Device = Device::GPU) : Tensor

Arange

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eye(n : Int32, device : Device = Device::GPU) : Tensor

Identity matrix

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from_array(data : Array(Float32), shape : Shape) : Tensor

Create from existing data (CPU)

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from_array(data : Array(Array(Float32))) : Tensor

Create from nested array (infers shape)

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full(*dims : Int32, value : Float32, device : Device = Device::GPU) : Tensor
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linspace(start : Float32, stop : Float32, count : Int32, device : Device = Device::GPU) : Tensor

Linspace

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new(shape : Shape, dtype : DType = DType::F32, device : Device = Device::GPU)

Create empty tensor on GPU

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new(*dims : Int32, dtype : DType = DType::F32, device : Device = Device::GPU) : Tensor

Create from shape tuple

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ones(*dims : Int32, device : Device = Device::GPU) : Tensor
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rand(*dims : Int32, device : Device = Device::GPU) : Tensor
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randn(*dims : Int32, device : Device = Device::GPU) : Tensor
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zeros(*dims : Int32, device : Device = Device::GPU) : Tensor

Factory methods

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Instance methods

[](indices : Array(Int32)) : Float32

Element access (for debugging, copies to CPU if needed)

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[](*indices : Int32) : Float32
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[]=(indices : Array(Int32), value : Float32) : Float32
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[]=(*indices_and_value) : Float32
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buffer
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buffer_handle

Get underlying buffer handle for kernel dispatch

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clone

Clone (deep copy)

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contiguous

Make contiguous copy

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contiguous?
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cpu_data
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data_ptr

Get raw data pointer (CPU only)

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device
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dtype
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fill!(value : Float32) : self

Fill with value

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flatten(start_dim : Int32 = 0, end_dim : Int32 = -1) : Tensor

Flatten

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inspect(io : IO) : Nil

Appends a String representation of this object which includes its class name, its object address and the values of all instance variables.

class Person
  def initialize(@name : String, @age : Int32)
  end
end

Person.new("John", 32).inspect # => #<Person:0x10fd31f20 @name="John", @age=32>
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ndim
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numel

Properties

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on_cpu?
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on_gpu?
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reshape(new_shape : Shape) : Tensor

Reshape (returns view if contiguous, copy otherwise)

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reshape(*dims : Int32) : Tensor
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shape
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squeeze(dim : Int32 | Nil = nil) : Tensor

Squeeze / Unsqueeze

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strides
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to_a

Data access

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to_cpu
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to_cpu!
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to_flat_array
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to_gpu

Device transfer

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to_gpu!
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to_s(io : IO) : Nil

String representation

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transpose

Transpose (swap last two dims)

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unsqueeze(dim : Int32) : Tensor
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Nested types