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Clean the predicate attribute or operands in neura operations #137

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Merged
tancheng merged 12 commits into from
Oct 6, 2025
Merged

Clean the predicate attribute or operands in neura operations #137

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c73754b
[UPDATE] NeuraOp.td, remove predicate
MeowMJ Sep 16, 2025
8111fb6
[UPDATE] basic_operation test, delete old predicate, add embed_predicate
MeowMJ Sep 16, 2025
a7f172a
[UPDATE] neura-interpreter remove predicate
MeowMJ Sep 17, 2025
f0f0d2b
[New Merge] merge with new commits
MeowMJ Sep 29, 2025
dfdea60
[UPDATE] remove all predicate in mlir-neura-opt output and check the …
MeowMJ Sep 30, 2025
e3b856f
[DELETE] all outputs
MeowMJ Oct 5, 2025
27fd0f7
[DELETE] all embed predicate test
MeowMJ Oct 5, 2025
9a7d448
[RESLOVE] conflict
MeowMJ Oct 5, 2025
5204724
[DELETE] accident repetition
MeowMJ Oct 5, 2025
cbb2e23
[DELETE] all false predicate func
MeowMJ Oct 5, 2025
cb91999
[UPDATE] cast.mlir with predicate
MeowMJ Oct 5, 2025
70935dc
[UPDATE] cast.mlir with one embed predicate
MeowMJ Oct 6, 2025
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22 changes: 12 additions & 10 deletions test/neura/interpreter/basic_operation/cast.mlir
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Original file line number Diff line number Diff line change
Expand Up @@ -40,18 +40,20 @@ func.func @test_cast_i2bool() -> i1 {
return %res : i1
}

f2i with true predicate
func.func @test_cast_embed_predicated() -> i32 {
%val = "neura.constant"() {value = 5.5 : f32} : () -> f32
%res = "neura.cast"(%val) { cast_type = "f2i" } : (f32) -> i32
// f2i with true predicate
func.func @test_cast_predicated() -> i32 {
%val = arith.constant 5.5 : f32
%pred = arith.constant 1 : i1
%res = "neura.cast"(%val, %pred) { cast_type = "f2i" } : (f32, i1) -> i32
// CHECK: [neura-interpreter] → Output: 6.000000
return %res : i32
}

// f2i with false predicate
// func.func @test_cast_embed_predicate_false() -> i32 {
// %val = "neura.constant"() {value = 5.5 : f32, predicate = false} : () -> f32
// %res = "neura.cast"(%val) { cast_type = "f2i" } : (f32) -> i32
// // [neura-interpreter] → Output: 0.000000
// return %res : i32
// }
func.func @test_cast_predicate_false() -> i32 {
%val = arith.constant 5.5 : f32
%pred = arith.constant 0 : i1
%res = "neura.cast"(%val, %pred) { cast_type = "f2i" } : (f32, i1) -> i32
// CHECK: [neura-interpreter] → Output: 0.000000
return %res : i32
}
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