| /llvm-project-15.0.7/mlir/test/Dialect/SparseTensor/ |
| H A D | sparse_transpose.mlir | 4 dimLevelType = [ "compressed", "compressed" ] 19 …{ dimLevelType = [ "compressed", "compressed" ], pointerBitWidth = 0, indexBitWidth = 0 }>>) -> te… 23 …ferization.alloc_tensor() : tensor<4x3xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed… 24 …<{ dimLevelType = [ "compressed", "compressed" ], pointerBitWidth = 0, indexBitWidth = 0 }>> to te… 25 …rs %[[VAL_5]], %[[VAL_1]] : tensor<3x4xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed… 26 …es %[[VAL_5]], %[[VAL_1]] : tensor<3x4xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed… 29 …_tensor.values %[[VAL_5]] : tensor<3x4xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed… 45 … %[[VAL_11]], %[[VAL_12]] : tensor<4x3xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed… 48 …oad %[[VAL_4]] hasInserts : tensor<4x3xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed… 49 …dealloc_tensor %[[VAL_5]] : tensor<3x4xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed… [all …]
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| H A D | roundtrip.mlir | 3 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 16 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 29 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 55 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 70 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 85 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 98 #DenseMatrix = #sparse_tensor.encoding<{dimLevelType = ["dense","dense"]}> 111 #DenseMatrix = #sparse_tensor.encoding<{dimLevelType = ["dense","dense"]}> 124 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 139 #SparseMatrix = #sparse_tensor.encoding<{dimLevelType = ["compressed", "compressed"]}> [all …]
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| H A D | sparse_2d.mlir | 4 #Tdd = #sparse_tensor.encoding<{ dimLevelType = [ "dense", "dense" ] }> 5 #Tds = #sparse_tensor.encoding<{ dimLevelType = [ "dense", "compressed" ] }> 6 #Tsd = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "dense" ] }> 7 #Tss = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ] }> 20 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32x16xf32, #sparse_tensor.encoding<{ dimLevelType = [ "de… 56 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32x16xf32, #sparse_tensor.encoding<{ dimLevelType = [ "de… 92 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32x16xf32, #sparse_tensor.encoding<{ dimLevelType = [ "de… 155 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32x16xf32, #sparse_tensor.encoding<{ dimLevelType = [ "de… 194 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32x16xf32, #sparse_tensor.encoding<{ dimLevelType = [ "co… 262 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32x16xf32, #sparse_tensor.encoding<{ dimLevelType = [ "co… [all …]
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| H A D | roundtrip_encoding.mlir | 4 // CHECK-SAME: tensor<32xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ], pointerBit… 5 func.func private @sparse_1d_tensor(tensor<32xf64, #sparse_tensor.encoding<{dimLevelType = ["compre… 10 dimLevelType = [ "dense", "compressed" ], 17 // CHECK-SAME: tensor<?x?xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense", "compressed" ], …
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| H A D | sparse_3d.mlir | 4 #Td = #sparse_tensor.encoding<{ dimLevelType = [ "dense" ] }> 6 #Tddd = #sparse_tensor.encoding<{ dimLevelType = [ "dense", "dense", "dense" ] }> 7 #Tdds = #sparse_tensor.encoding<{ dimLevelType = [ "dense", "dense", "compressed" ] }> 8 #Tdsd = #sparse_tensor.encoding<{ dimLevelType = [ "dense", "compressed", "dense" ] }> 9 #Tdss = #sparse_tensor.encoding<{ dimLevelType = [ "dense", "compressed", "compressed" ] }> 10 #Tsdd = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "dense", "dense" ] }> 11 #Tsds = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "dense", "compressed" ] }> 12 #Tssd = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed", "dense" ] }> 13 #Tsss = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed", "compressed" ] }> 26 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32x16x8xf32, #sparse_tensor.encoding<{ dimLevelType = [ "… [all …]
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| H A D | sparse_1d.mlir | 4 #DV = #sparse_tensor.encoding<{ dimLevelType = [ "dense" ] }> 5 #SV = #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ] }> 17 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense… 46 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense… 77 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense… 106 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compr… 161 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compr… 200 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compr… 243 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense… 274 // CHECK-SAME: %[[VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense… [all …]
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| H A D | invalid_encoding.mlir | 3 #a = #sparse_tensor.encoding<{dimLevelType = []}> 8 #a = #sparse_tensor.encoding<{dimLevelType = ["dense", "compressed"]}> 13 #a = #sparse_tensor.encoding<{dimLevelType = ["dense", "compressed"], dimOrdering = affine_map<(i) … 18 #a = #sparse_tensor.encoding<{dimLevelType = [1]}> // expected-error {{expected a string value in d… 23 #a = #sparse_tensor.encoding<{dimLevelType = ["strange"]}> // expected-error {{unexpected dimension…
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| H A D | sparse_nd.mlir | 8 dimLevelType = [ "dense", "dense", "dense", "compressed", 25 …1:.*]]: tensor<80x70x60x50x40x30x20x10xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense", "d… 39 …L_3]] : tensor<80x70x60x50x40x30x20x10xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense", "d… 40 …L_3]] : tensor<80x70x60x50x40x30x20x10xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense", "d… 41 …L_4]] : tensor<80x70x60x50x40x30x20x10xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense", "d… 42 …L_4]] : tensor<80x70x60x50x40x30x20x10xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense", "d… 43 …L_1]] : tensor<80x70x60x50x40x30x20x10xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense", "d…
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| H A D | invalid.mlir | 29 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"], pointerBitWidth=32}> 40 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 69 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 80 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 99 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 152 #DCSR = #sparse_tensor.encoding<{dimLevelType = ["compressed", "compressed"]}> 162 #CSR = #sparse_tensor.encoding<{dimLevelType = ["dense", "compressed"]}>
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| H A D | sparse_lower_col.mlir | 12 dimLevelType = [ "dense", "compressed" ], 27 … %[[VAL_0:.*]]: tensor<32x64xf64, #sparse_tensor.encoding<{ dimLevelType = [ "dense", "c… 33 … %[[VAL_0]], %[[VAL_5]] : tensor<32x64xf64, #sparse_tensor.encoding<{ dimLevelType = [ "dense", "c… 34 … %[[VAL_0]], %[[VAL_5]] : tensor<32x64xf64, #sparse_tensor.encoding<{ dimLevelType = [ "dense", "c… 35 …ensor.values %[[VAL_0]] : tensor<32x64xf64, #sparse_tensor.encoding<{ dimLevelType = [ "dense", "c…
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| H A D | sparse_expand.mlir | 7 dimLevelType = [ "compressed", "compressed" ], 12 dimLevelType = [ "compressed" ]
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| H A D | sparse_parallel.mlir | 13 dimLevelType = [ "dense", "dense" ] 17 dimLevelType = [ "compressed", "compressed" ] 21 dimLevelType = [ "dense", "compressed" ]
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| H A D | one_shot_bufferize_tensor_copy_insertion.mlir | 5 dimLevelType = [ "compressed", "compressed" ], 44 #SV = #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ] }>
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| H A D | sparse_storage.mlir | 4 dimLevelType = [ "compressed" ], 10 dimLevelType = [ "compressed" ],
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| /llvm-project-15.0.7/mlir/test/Integration/Dialect/SparseTensor/CPU/ |
| H A D | sparse_storage.mlir | 12 dimLevelType = [ "dense", "dense" ] 16 dimLevelType = [ "dense", "compressed" ] 20 dimLevelType = [ "compressed", "compressed" ] 24 dimLevelType = [ "dense", "compressed" ], 29 dimLevelType = [ "compressed", "compressed" ], 34 dimLevelType = [ "compressed", "dense" ] 38 dimLevelType = [ "compressed", "dense" ],
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| H A D | sparse_conversion_sparse2sparse.mlir | 8 dimLevelType = [ "dense", "dense", "compressed" ] 14 dimLevelType = [ "dense", "compressed", "dense" ] 18 dimLevelType = [ "dense", "dense", "compressed" ],
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| H A D | sparse_conversion_sparse2dense.mlir | 9 dimLevelType = [ "compressed", "compressed", "compressed" ], 14 dimLevelType = [ "compressed", "compressed", "compressed" ], 19 dimLevelType = [ "compressed", "compressed", "compressed" ], 24 dimLevelType = [ "dense", "compressed", "compressed" ], 29 dimLevelType = [ "dense", "compressed", "compressed" ], 34 dimLevelType = [ "dense", "compressed", "compressed" ],
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| H A D | sparse_conversion_ptr.mlir | 8 dimLevelType = [ "compressed", "compressed" ], 14 dimLevelType = [ "compressed", "compressed" ], 21 dimLevelType = [ "dense", "compressed" ],
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| H A D | sparse_tensor_ops.mlir | 7 #ST1 = #sparse_tensor.encoding<{dimLevelType = ["compressed", "compressed", "compressed"]}> 8 #ST2 = #sparse_tensor.encoding<{dimLevelType = ["compressed", "compressed", "dense"]}>
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| H A D | sparse_out_reduction.mlir | 8 dimLevelType = [ "compressed", "compressed" ] 12 dimLevelType = [ "compressed", "compressed", "compressed" ]
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| H A D | dense_output_f16.mlir | 7 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 8 #DenseVector = #sparse_tensor.encoding<{dimLevelType = ["dense"]}>
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| H A D | sparse_conversion_dyn.mlir | 8 dimLevelType = [ "compressed", "compressed" ] 12 dimLevelType = [ "compressed", "compressed" ],
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| H A D | dense_output_bf16.mlir | 7 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}> 8 #DenseVector = #sparse_tensor.encoding<{dimLevelType = ["dense"]}>
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| H A D | sparse_transpose.mlir | 7 dimLevelType = [ "compressed", "compressed" ] 11 dimLevelType = [ "compressed", "compressed" ],
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| /llvm-project-15.0.7/mlir/test/Dialect/Bufferization/ |
| H A D | invalid.mlir | 61 #DCSR = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ] }> 71 #DCSR = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ] }>
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