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Fix repeat for dims > 1 (tracel-ai#1713)
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,36 @@ | ||
use crate::{backend::Backend, BasicOps, Tensor, TensorKind}; | ||
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pub(crate) fn repeat_with_slice_assign< | ||
B: Backend, | ||
const D: usize, | ||
K: TensorKind<B> + BasicOps<B>, | ||
>( | ||
tensor: Tensor<B, D, K>, | ||
dim: usize, | ||
times: usize, | ||
) -> Tensor<B, D, K> { | ||
let mut shape = tensor.shape(); | ||
let device = tensor.device(); | ||
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let original_dim_length = shape.dims[dim]; | ||
shape.dims[dim] *= times; | ||
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let mut tensor_output = Tensor::empty(shape.clone(), &device); | ||
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let mut i = 0; | ||
let indices_select_all = [0; D].map(|_| { | ||
i += 1; | ||
0..shape.dims[i - 1] | ||
}); | ||
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let mut output_index = 0; | ||
for _ in 0..times { | ||
let mut indices = indices_select_all.clone(); | ||
indices[dim] = output_index..output_index + original_dim_length; | ||
output_index += original_dim_length; | ||
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tensor_output = tensor_output.slice_assign(indices, tensor.clone()); | ||
} | ||
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tensor_output | ||
} |
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