Lines Matching defs:tensor

8 import mlir.dialects.tensor as tensor
191             # CHECK-DAG: x_f64elems = dense<[8.000000e+00, 1.600000e+01]> : tensor<2xf64>
200             x_i32elems=[5, 6],  # CHECK-DAG: x_i32elems = dense<[5, 6]> : tensor<2xi32>
203             x_i64elems=[8, 9],  # CHECK-DAG: x_i64elems = dense<[8, 9]> : tensor<2xi64>
207             # CHECK-DAG: x_idxelems = dense<[11, 12]> : tensor<2xindex>
435             t = tensor.EmptyOp([10, 10], i8).result
437             # CHECK: Value(%{{.*}} = tensor.empty() : tensor<10x10xi8>)
441             # CHECK: Tensor(%{{.*}} = tensor.empty() : tensor<10x10xi8>)
453             d = tensor.EmptyOp([1, 2, 3], IntegerType.get_signless(5)).result
454             # CHECK: Value(%{{.*}} = tensor.empty() : tensor<1x2x3xi5>)
525         # CHECK: tensor<10x10xi5>
527         # CHECK: TestIntegerRankedTensorType(tensor<10x10xi5>)
546         d = tensor.EmptyOp([10, 10], IntegerType.get_signless(5)).result
547         # CHECK: tensor<10x10xi5>
549         # CHECK: ranked tensor type RankedTensorType(tensor<10x10xi5>)
550         print("ranked tensor type", repr(d.type))
556         d = tensor.EmptyOp([10, 10], IntegerType.get_signless(5)).result
557         # CHECK: tensor<10x10xi5>
559         # CHECK: TestIntegerRankedTensorType(tensor<10x10xi5>)