1. 09 12月, 2021 3 次提交
  2. 05 12月, 2021 1 次提交
    • J
      Merge portable-simd#207 - ./feature/simplify-select · 81484a39
      Jubilee 提交于
      Remove Select trait
      
      I realized that our `select` implementation predated `Simd` being generic over element type, and we don't really need the `Select` trait at all. The function signature is much simpler now (generic over element type, rather than over the entire vector). This did require changing mask select to be a different function, but I think that's fine considering they're not necessarily vectors.
      81484a39
  3. 04 12月, 2021 1 次提交
  4. 03 12月, 2021 1 次提交
    • J
      Merge portable-simd#195 - portable-simd:trait-ops · a8385522
      Jubilee 提交于
      Generic `core::ops` for `Simd<T, _>`
      
      In order to maintain type soundness, we need to be sure we only implement an operation for `Simd<T, _> where T: SimdElement`... and also valid for that operation in general. While we could do this purely parametrically, it is more sound to implement the operators directly for the base scalar type arguments and then use type parameters to extend the operators to the "higher order" operations.
      
      This implements that strategy and cleans up `simd::ops` into a few submodules:
      - assign.rs: `core::ops::*Assign`
      - deref.rs:  `core::ops` impls which "deref" borrowed versions of the arguments
      - unary.rs: encloses the logic for unary operators on `Simd`, as unary ops are much simpler
      
      This is possible since everything need not be nested in a single maze of macros anymore. The result simplifies the logic and allows reasoning about what operators are valid based on the expressed trait bounds, and also reduces the size of the trait implementation output in rustdoc, for a huge win of 4 MB off the size of `struct.Simd.html`! This addresses a common user complaint, as the original was over 5.5 MB and capable of crashing browsers!
      
      This also carries a fix for a type-inference-related breakage, by removing the autosplatting (vector + scalar binop) impls, as unfortunately the presence of autosplatting was capable of busting type inference. We will likely need to see results from a Crater run before we can understand how to re-land autosplatting.
      a8385522
  5. 02 12月, 2021 3 次提交
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