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https://github.com/huggingface/candle.git
synced 2025-06-18 19:47:12 +00:00
Support negative steps in arange. (#1218)
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@ -385,11 +385,21 @@ impl Tensor {
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step: D,
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device: &Device,
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) -> Result<Self> {
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if D::is_zero(&step) {
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crate::bail!("step cannot be zero")
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}
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let mut data = vec![];
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let mut current = start;
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while current < end {
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data.push(current);
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current += step;
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if step >= D::zero() {
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while current < end {
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data.push(current);
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current += step;
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}
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} else {
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while current > end {
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data.push(current);
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current += step;
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}
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}
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let len = data.len();
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Self::from_vec_impl(data, len, device, false)
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@ -29,7 +29,26 @@ fn ones(device: &Device) -> Result<()> {
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Tensor::ones((2, 3), DType::F64, device)?.to_vec2::<f64>()?,
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[[1.0, 1.0, 1.0], [1.0, 1.0, 1.0]],
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);
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Ok(())
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}
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fn arange(device: &Device) -> Result<()> {
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assert_eq!(
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Tensor::arange(0u8, 5u8, device)?.to_vec1::<u8>()?,
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[0, 1, 2, 3, 4],
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);
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assert_eq!(
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Tensor::arange_step(0u8, 5u8, 2, device)?.to_vec1::<u8>()?,
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[0, 2, 4],
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);
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assert_eq!(
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Tensor::arange_step(0u8, 5u8, 3, device)?.to_vec1::<u8>()?,
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[0, 3],
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);
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assert_eq!(
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Tensor::arange_step(5i64, 0i64, -1, device)?.to_vec1::<i64>()?,
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[5, 4, 3, 2, 1],
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);
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Ok(())
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}
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@ -1037,6 +1056,7 @@ fn randn(device: &Device) -> Result<()> {
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test_device!(zeros, zeros_cpu, zeros_gpu);
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test_device!(ones, ones_cpu, ones_gpu);
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test_device!(arange, arange_cpu, arange_gpu);
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test_device!(add_mul, add_mul_cpu, add_mul_gpu);
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test_device!(tensor_2d, tensor_2d_cpu, tensor_2d_gpu);
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test_device!(narrow, narrow_cpu, narrow_gpu);
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