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@CaptnJackSparrow CaptnJackSparrow released this 04 Apr 09:52
· 1 commit to main since this release
v1.2.28
8affe97

What's Changed

  • Merged PR 3199: Rename _slice to slice and add docs. [Captain Jack
    Sparrow]

    Rename _slice to slice and add docs

  • Merged PR 3197: Preserve dest memref shape during SliceOp to SubViewOp
    lowering. [Captain Jack Sparrow]

    Preserve dest memref shape during SliceOp to SubViewOp lowering:

    Without this change, subview op would discard the dest memref type required by the slice op. For example,

    %7 = "accv.slice"(%arg0, %6) {sliceDimensions = [0]} : (memref<1x30x256xui8>, index) -> memref<30x256xui8, affine_map<...>>

    would get lowered to:

    %4 = memref.subview %arg0[%3, 0, 0] [1, 30, 256] [1, 1, 1] : memref<1x30x256xui8> to memref<1x30x256xui8, affine_map<...>>
%5 = memref.cast %4 : memref<1x30x256xui8, affine_map<...>> to memref<?x?x?xui8, affine_map<...>>

    which does not drop the first dimension as expected. With this fix, the slice op correctly lowers to:

    %4 = memref.subview %arg0[%3, 0, 0] [1, 30, 256] [1, 1, 1] : memref<1x30x256xui8> to memref<30x256xui8, affine_map<...>>
%5 = memref.cast %4 : memref<30x256xui8, affine_map<...>> to memref<30x256xui8, affine_map<...>>

  • Merged PR 3194: Reorder the ops in GetTimeOpLowering to improve the
    timing accuracy. [Denny Sun]

    In order to get the most accurate timing, we need to order the operations more appropriately,

    from
        Independent logic
        GetTime()
        Independent logic
        Main logic to profile
        Independent logic
        GetTime()
        Independent logic

to

        Independent logic
        Independent logic
        GetTime()
        Main logic  to profile
        GetTime()
        Independent logic
        Independent logic

  • Merged PR 3187: Fully dynamic split_dimension op. [Denny Sun]

    This change enable Accera to be able to split a dynamic dimension by a dynamic size

    `       M, N, MN = create_dimensions()

        Input = Array(role=Role.INPUT, element_type=ScalarType.float32, shape=(MN, ))
        Output = Array(role=Role.INPUT_OUTPUT, element_type=ScalarType.float32, shape=(M, N))

        nest = Nest(shape=(M, N))
        i, j = nest.get_indices()

        @nest.iteration_logic
        def _():
            split_input = Input._split_dimension(0, N)
            Output[i, j] = split_input[i, j]

       package.add(nest, args=(MN, M, N, Input, Output), base_name=f"{test_name}_fn")`

  • Merged PR 3185: [nfc] Adds tests for vectorization, fast_exp_sum.
    [Kern Handa]

  • Merged PR 3168: [docs] Tensorization tutorials and type name updates.
    [Captain Jack Sparrow]

Full Changelog: v1.2.27...v1.2.28

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