class OCL(T)
inherits Num::Backend::Storage

Constructors

.new(shape : Array(Int), order : Num::OrderType, value : T)

Initialize an OpenCL storage from an initial capacity and an initial value, which will fill the buffer

Arguments

• shape : Array(Int) - Shape for parent Tensor
• order : Num::OrderType - Memory layout for parent Tensor
• value : T - Value to initially populate the buffer

Examples

OCL.new([10, 10], Num::RowMajor, 3.4)

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.new(shape : Array(Int), strides : Array(Int), value : T)

Initialize an OpenCL storage from an initial capacity and an initial value, which will fill the buffer

Arguments

• shape : Array(Int) - Shape for parent Tensor
• strides : Array(Int) - Strides for parent Tensor
• value : T - Value to initially populate the buffer

Examples

OCL.new([10, 10], [10, 1], 3.4)

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.new(hostptr : Pointer(T), shape : Array(Int), strides : Array(Int))

Initialize an OpenCL storage from a standard library Crystal pointer

Arguments

• hostptr : Pointer(T) - Stdlib Crystal pointer containing the Tensors data
• shape : Array(Int) - Shape for parent Tensor
• strides : Array(Int) - Strides for parent Tensor

Examples

ptr = Pointer(Int32).malloc(9)
OCL.new(ptr, [3, 3], [3, 1])

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.new(shape : Array(Int), order : Num::OrderType)

Initialize an OpenCL storage from an initial capacity. The data will be filled with zeros

Arguments

• shape : Array(Int) - Shape for parent Tensor
• order : Num::OrderType - Memory layout for parent Tensor

Examples

OCL.new([100], Num::RowMajor)

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.new(shape : Array(Int), strides : Array(Int))

Initialize an OpenCL storage from an initial capacity. The data will be filled with zeros

Arguments

• shape : Array(Int) - Shape for parent Tensor
• strides : Array(Int) - Strides for parent Tensor

Examples

OCL.new([100], [1])

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Class methods

.base(dtype : U.class) : OCL(U).class forall U

Return a generic class of a specific generic type, to allow for explicit return types in functions that return a different storage type than the parent Tensor

a = OCL(Float32).new([10])

# Cannot do
# a.class.new ...

a.class.base(Float64).new([10])

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Methods

#data : LibCL::ClMem

Data buffer containing the data associated with the parent Tensor

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#finalize

Releases the underlying LibCL::ClMem buffers containing the data for a Tensor, as well as the buffers containing the shape and strides for the Tensor

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#shape : LibCL::ClMem

Data buffer containing the shape associated with the parent Tensor

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#strides : LibCL::ClMem

Data buffer containing the strides associated with the parent Tensor

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#to_unsafe : LibCL::ClMem

Returns the underlying OpenCL memory buffer associated with a Tensor

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#total_size : Int32

Total size of the underlying data buffer. Keeps track of the total size of a buffer if a Tensor has been sliced

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#update_metadata(shape : Array(Int32), strides : Array(Int32))

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