[all-commits] [llvm/llvm-project] d2e787: [mlir][sparse][tensor] replace bufferization with ...
Aart Bik via All-commits
all-commits at lists.llvm.org
Fri Sep 15 11:45:55 PDT 2023
Branch: refs/heads/main
Home: https://github.com/llvm/llvm-project
Commit: d2e787d5d7ee49a0a77a6ca88b020e0297591790
https://github.com/llvm/llvm-project/commit/d2e787d5d7ee49a0a77a6ca88b020e0297591790
Author: Aart Bik <39774503+aartbik at users.noreply.github.com>
Date: 2023-09-15 (Fri, 15 Sep 2023)
Changed paths:
M mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output_bf16.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output_f16.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/dual_sparse_conv_2d.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_abs.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_binary.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_cmp.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_codegen_dim.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex32.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex64.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex_ops.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conv_1d_nwc_wcf.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conv_2d.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conv_2d_nchw_fchw.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conv_2d_nhwc_hwcf.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conv_3d.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conv_3d_ndhwc_dhwcf.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_dot.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_expand.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_filter_conv2d.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index_dense.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_1d.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_2d.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_3d.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matmul.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matmul_slice.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matrix_ops.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_mult_elt.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_reduction.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_pooling_nhwc.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_re_im.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom_prod.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_mm_fusion.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_scf_nested.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_select.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_semiring_select.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sign.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_strided_conv_2d_nhwc_hwcf.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sum_c32.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tensor_mul.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tensor_ops.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_transpose.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_transpose_coo.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_unary.mlir
M mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_vector_ops.mlir
M mlir/test/Integration/Dialect/SparseTensor/GPU/CUDA/sparse-gemm-lib.mlir
Log Message:
-----------
[mlir][sparse][tensor] replace bufferization with empty tensor (#66450)
Rationale:
A bufferization.alloc_tensor can be directly replaced
with tensor.empty since these are more or less semantically
equivalent. The latter is considered a bit more "pure"
with respect to SSA semantics.
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