Lines Matching refs:sparse_tensor

4 #DenseMatrix = #sparse_tensor.encoding<{
8 #SparseMatrix = #sparse_tensor.encoding<{
22 // CHECK-SAME: %[[VAL_0:.*]]: tensor<?x?xi64, #sparse_tensor.encoding
25 …: %[[VAL_3:.*]] = tensor.dim %[[VAL_0]], %[[VAL_1]] : tensor<?x?xi64, #sparse_tensor.encoding
26 …: %[[VAL_4:.*]] = tensor.dim %[[VAL_0]], %[[VAL_1]] : tensor<?x?xi64, #sparse_tensor.encoding
27 ….*]] = bufferization.alloc_tensor(%[[VAL_3]], %[[VAL_4]]) : tensor<?x?xi64, #sparse_tensor.encoding
28 // CHECK-DAG: %[[VAL_6:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<?x?xi64, #sparse_tenso…
29 …: %[[VAL_7:.*]] = tensor.dim %[[VAL_5]], %[[VAL_1]] : tensor<?x?xi64, #sparse_tensor.encoding
30 …: %[[VAL_8:.*]] = tensor.dim %[[VAL_5]], %[[VAL_2]] : tensor<?x?xi64, #sparse_tensor.encoding
31 // CHECK-DAG: %[[VAL_9:.*]] = sparse_tensor.values %[[VAL_5]] : tensor<?x?xi64, #sparse_tenso…
46 // CHECK: %[[VAL_21:.*]] = sparse_tensor.load %[[VAL_5]] : tensor<?x?xi64, #sparse_tensor
47 // CHECK: return %[[VAL_21]] : tensor<?x?xi64, #sparse_tensor.encoding
72 // CHECK-SAME: %[[VAL_0:.*]]: tensor<?x?xi64, #sparse_tensor.encoding
76 …: %[[VAL_4:.*]] = tensor.dim %[[VAL_0]], %[[VAL_1]] : tensor<?x?xi64, #sparse_tensor.encoding
77 …: %[[VAL_5:.*]] = tensor.dim %[[VAL_0]], %[[VAL_1]] : tensor<?x?xi64, #sparse_tensor.encoding
78 ….*]] = bufferization.alloc_tensor(%[[VAL_4]], %[[VAL_5]]) : tensor<?x?xi64, #sparse_tensor.encoding
79 // CHECK-DAG: %[[VAL_7:.*]] = sparse_tensor.pointers %[[VAL_0]], %[[VAL_1]] : tensor<?x?xi64,…
80 // CHECK-DAG: %[[VAL_8:.*]] = sparse_tensor.indices %[[VAL_0]], %[[VAL_1]] : tensor<?x?xi64, …
81 // CHECK-DAG: %[[VAL_9:.*]] = sparse_tensor.pointers %[[VAL_0]], %[[VAL_2]] : tensor<?x?xi64,…
82 // CHECK-DAG: %[[VAL_10:.*]] = sparse_tensor.indices %[[VAL_0]], %[[VAL_2]] : tensor<?x?xi64,…
83 // CHECK-DAG: %[[VAL_11:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<?x?xi64, #sparse_tens…
103 // CHECK: sparse_tensor.lex_insert %[[VAL_6]], %[[VAL_12]], %[[BUF]] : tensor<?x?xi64…
106 // CHECK: %[[VAL_27:.*]] = sparse_tensor.load %[[VAL_6]] hasInserts : tensor<?x?xi64, #sp…
107 // CHECK: return %[[VAL_27]] : tensor<?x?xi64, #sparse_tensor.encoding