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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,44 @@ | ||
| #tensor.bitwise_and | ||
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| ```rust | ||
| fn bitwise_and(self: @Tensor<T>, other: @Tensor<T>) -> Tensor<usize>; | ||
| ``` | ||
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| Computes the bitwise AND of two tensors element-wise. | ||
| The input tensors must have either: | ||
| * Exactly the same shape | ||
| * The same number of dimensions and the length of each dimension is either a common length or 1. | ||
|
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| ## Args | ||
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| * `self`(`@Tensor<T>`) - The first tensor to be compared | ||
| * `other`(`@Tensor<T>`) - The second tensor to be compared | ||
|
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| ## Panics | ||
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| * Panics if the shapes are not equal or broadcastable | ||
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| ## Returns | ||
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| A new `Tensor<T>` with the same shape as the broadcasted inputs. | ||
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| ## Example | ||
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| ```rust | ||
| use array::{ArrayTrait, SpanTrait}; | ||
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| use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor}; | ||
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| fn and_example() -> Tensor<usize> { | ||
| let tensor_1 = TensorTrait::<u32>::new( | ||
| shape: array![3, 3].span(), data: array![0, 1, 2, 3, 4, 5, 6, 7, 8].span(), | ||
| ); | ||
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| let tensor_2 = TensorTrait::<u32>::new( | ||
| shape: array![3, 3].span(), data: array![0, 1, 2, 0, 4, 5, 0, 6, 2].span(), | ||
| ); | ||
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| return tensor_1.bitwise_and(@tensor_2); | ||
| } | ||
| >>> [0,1,2,0,4,5,0,6,2] | ||
| ``` |
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docs/framework/operators/tensor/tensor.constant_of_shape.md
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,38 @@ | ||
| # tensor.constant_of_shape | ||
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| ```rust | ||
| fn constant_of_shape(shape: Span<usize>, value: T) -> Tensor<T>; | ||
| ``` | ||
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| Returns a new tensor with the given shape and constant value. | ||
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| ## Args | ||
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| * `shape`(`Span<usize>`) - A span representing the shape of the tensor. | ||
| * `value` (`T`) - the constant value. | ||
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| ## Returns | ||
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| A new `Tensor<T>` instance. | ||
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| ## Examples | ||
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| Let's create new u32 Tensor with constant 42. | ||
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| ```rust | ||
| use array::{ArrayTrait, SpanTrait}; | ||
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| use orion::operators::tensor::{ | ||
| TensorTrait, // we import the trait | ||
| Tensor, // we import the type | ||
| U32Tensor // we import the implementation. | ||
| }; | ||
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| fn constant_of_shape_example() -> Tensor<u32> { | ||
| let tensor = TensorTrait::constant_of_shape(shape: array![3].span(), value: 42); | ||
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| return tensor; | ||
| } | ||
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| >>> [42, 42, 42] | ||
| ``` |
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