With `dynamic_tensor_from_elements` tensor values of dynamic size can be created. The body of the operation essentially maps the index space to tensor elements. Declare SCF operations in the `scf` namespace to avoid name clash with the new `std.yield` operation. Resolve ambiguities between `linalg/shape/std/scf.yield` operations. Differential Revision: https://reviews.llvm.org/D86276
37 lines
1.0 KiB
MLIR
37 lines
1.0 KiB
MLIR
// RUN: mlir-opt %s | mlir-opt | FileCheck %s
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// RUN: mlir-opt %s --mlir-print-op-generic | mlir-opt | FileCheck %s
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// CHECK-LABEL: test_index_cast
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func @test_index_cast(%arg0 : index) -> i64 {
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%0 = index_cast %arg0 : index to i64
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return %0 : i64
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}
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// CHECK-LABEL: test_index_cast_tensor
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func @test_index_cast_tensor(%arg0 : tensor<index>) -> tensor<i64> {
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%0 = index_cast %arg0 : tensor<index> to tensor<i64>
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return %0 : tensor<i64>
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}
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// CHECK-LABEL: test_index_cast_tensor_reverse
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func @test_index_cast_tensor_reverse(%arg0 : tensor<i64>) -> tensor<index> {
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%0 = index_cast %arg0 : tensor<i64> to tensor<index>
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return %0 : tensor<index>
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}
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func @assert(%arg : i1) {
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assert %arg, "Some message in case this assertion fails."
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return
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}
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func @dynamic_tensor_from_elements(%m : index, %n : index)
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-> tensor<?x3x?xf32> {
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%tnsr = dynamic_tensor_from_elements %m, %n {
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^bb0(%i : index, %j : index, %k : index):
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%elem = constant 8.0 : f32
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yield %elem : f32
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} : tensor<?x3x?xf32>
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return %tnsr : tensor<?x3x?xf32>
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}
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