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[mlir][print]Add functions for printing memref f16/bf16/i16 #75094
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0956516
[mlir][sparse]Add functions for printing f16/bf16/i16
yinying-lisa-li 71df9ca
fix format
yinying-lisa-li 7569e8f
add new test
yinying-lisa-li 82dad89
add new line
yinying-lisa-li cc92093
address comment
yinying-lisa-li f0af709
modify bazel
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,128 @@ | ||
| // RUN: mlir-opt %s \ | ||
| // RUN: -func-bufferize -arith-bufferize --canonicalize \ | ||
| // RUN: -finalize-memref-to-llvm\ | ||
| // RUN: -convert-func-to-llvm -reconcile-unrealized-casts |\ | ||
| // RUN: mlir-cpu-runner \ | ||
| // RUN: -e entry -entry-point-result=void \ | ||
| // RUN: -shared-libs=%mlir_c_runner_utils,%mlir_runner_utils |\ | ||
| // RUN: FileCheck %s | ||
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| module { | ||
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||
| func.func private @printMemrefI8(%ptr : tensor<*xi8>) attributes { llvm.emit_c_interface } | ||
| func.func private @printMemrefI16(%ptr : tensor<*xi16>) attributes { llvm.emit_c_interface } | ||
| func.func private @printMemrefI32(%ptr : tensor<*xi32>) attributes { llvm.emit_c_interface } | ||
| func.func private @printMemrefI64(%ptr : tensor<*xi64>) attributes { llvm.emit_c_interface } | ||
| func.func private @printMemrefBF16(%ptr : tensor<*xbf16>) attributes { llvm.emit_c_interface } | ||
| func.func private @printMemrefF16(%ptr : tensor<*xf16>) attributes { llvm.emit_c_interface } | ||
| func.func private @printMemrefF32(%ptr : tensor<*xf32>) attributes { llvm.emit_c_interface } | ||
| func.func private @printMemrefF64(%ptr : tensor<*xf64>) attributes { llvm.emit_c_interface } | ||
| func.func private @printMemrefC32(%ptr : tensor<*xcomplex<f32>>) attributes { llvm.emit_c_interface } | ||
| func.func private @printMemrefC64(%ptr : tensor<*xcomplex<f64>>) attributes { llvm.emit_c_interface } | ||
| func.func private @printMemrefInd(%ptr : tensor<*xindex>) attributes { llvm.emit_c_interface } | ||
|
|
||
| func.func @entry() { | ||
| %i8 = arith.constant dense<90> : tensor<3x3xi8> | ||
| %i16 = arith.constant dense<1> : tensor<3x3xi16> | ||
| %i32 = arith.constant dense<2> : tensor<3x3xi32> | ||
| %i64 = arith.constant dense<3> : tensor<3x3xi64> | ||
| %f16 = arith.constant dense<1.5> : tensor<3x3xf16> | ||
| %bf16 = arith.constant dense<2.5> : tensor<3x3xbf16> | ||
| %f32 = arith.constant dense<3.5> : tensor<3x3xf32> | ||
| %f64 = arith.constant dense<4.5> : tensor<3x3xf64> | ||
| %c32 = arith.constant dense<(1.000000e+01,5.000000e+00)> : tensor<3x3xcomplex<f32>> | ||
| %c64 = arith.constant dense<(2.000000e+01,5.000000e+00)> : tensor<3x3xcomplex<f64>> | ||
| %ind = arith.constant dense<4> : tensor<3x3xindex> | ||
|
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||
| %1 = tensor.cast %i8 : tensor<3x3xi8> to tensor<*xi8> | ||
| %2 = tensor.cast %i16 : tensor<3x3xi16> to tensor<*xi16> | ||
| %3 = tensor.cast %i32 : tensor<3x3xi32> to tensor<*xi32> | ||
| %4 = tensor.cast %i64 : tensor<3x3xi64> to tensor<*xi64> | ||
| %5 = tensor.cast %f16 : tensor<3x3xf16> to tensor<*xf16> | ||
| %6 = tensor.cast %bf16 : tensor<3x3xbf16> to tensor<*xbf16> | ||
| %7 = tensor.cast %f32 : tensor<3x3xf32> to tensor<*xf32> | ||
| %8 = tensor.cast %f64 : tensor<3x3xf64> to tensor<*xf64> | ||
| %9 = tensor.cast %c32 : tensor<3x3xcomplex<f32>> to tensor<*xcomplex<f32>> | ||
| %10 = tensor.cast %c64 : tensor<3x3xcomplex<f64>> to tensor<*xcomplex<f64>> | ||
| %11 = tensor.cast %ind : tensor<3x3xindex> to tensor<*xindex> | ||
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| // CHECK: data = | ||
| // CHECK-NEXT: {{\[}}[Z, Z, Z], | ||
| // CHECK-NEXT: [Z, Z, Z], | ||
| // CHECK-NEXT: [Z, Z, Z]] | ||
| // | ||
| call @printMemrefI8(%1) : (tensor<*xi8>) -> () | ||
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| // CHECK-NEXT: data = | ||
| // CHECK-NEXT: {{\[}}[1, 1, 1], | ||
| // CHECK-NEXT: [1, 1, 1], | ||
| // CHECK-NEXT: [1, 1, 1]] | ||
| // | ||
| call @printMemrefI16(%2) : (tensor<*xi16>) -> () | ||
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| // CHECK-NEXT: data = | ||
| // CHECK-NEXT: {{\[}}[2, 2, 2], | ||
| // CHECK-NEXT: [2, 2, 2], | ||
| // CHECK-NEXT: [2, 2, 2]] | ||
| // | ||
| call @printMemrefI32(%3) : (tensor<*xi32>) -> () | ||
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| // CHECK-NEXT: data = | ||
| // CHECK-NEXT: {{\[}}[3, 3, 3], | ||
| // CHECK-NEXT: [3, 3, 3], | ||
| // CHECK-NEXT: [3, 3, 3]] | ||
| // | ||
| call @printMemrefI64(%4) : (tensor<*xi64>) -> () | ||
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| // CHECK-NEXT: data = | ||
| // CHECK-NEXT: {{\[}}[1.5, 1.5, 1.5], | ||
| // CHECK-NEXT: [1.5, 1.5, 1.5], | ||
| // CHECK-NEXT: [1.5, 1.5, 1.5]] | ||
| // | ||
| call @printMemrefF16(%5) : (tensor<*xf16>) -> () | ||
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| // CHECK-NEXT: data = | ||
| // CHECK-NEXT: {{\[}}[2.5, 2.5, 2.5], | ||
| // CHECK-NEXT: [2.5, 2.5, 2.5], | ||
| // CHECK-NEXT: [2.5, 2.5, 2.5]] | ||
| // | ||
| call @printMemrefBF16(%6) : (tensor<*xbf16>) -> () | ||
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| // CHECK-NEXT: data = | ||
| // CHECK-NEXT: {{\[}}[3.5, 3.5, 3.5], | ||
| // CHECK-NEXT: [3.5, 3.5, 3.5], | ||
| // CHECK-NEXT: [3.5, 3.5, 3.5]] | ||
| // | ||
| call @printMemrefF32(%7) : (tensor<*xf32>) -> () | ||
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| // CHECK-NEXT: data = | ||
| // CHECK-NEXT: {{\[}}[4.5, 4.5, 4.5], | ||
| // CHECK-NEXT: [4.5, 4.5, 4.5], | ||
| // CHECK-NEXT: [4.5, 4.5, 4.5]] | ||
| // | ||
| call @printMemrefF64(%8) : (tensor<*xf64>) -> () | ||
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| // CHECK-NEXT: data = | ||
| // CHECK-NEXT: {{\[}}[(10,5), (10,5), (10,5)], | ||
| // CHECK-NEXT: [(10,5), (10,5), (10,5)], | ||
| // CHECK-NEXT: [(10,5), (10,5), (10,5)]] | ||
| // | ||
| call @printMemrefC32(%9) : (tensor<*xcomplex<f32>>) -> () | ||
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| // CHECK-NEXT: data = | ||
| // CHECK-NEXT: {{\[}}[(20,5), (20,5), (20,5)], | ||
| // CHECK-NEXT: [(20,5), (20,5), (20,5)], | ||
| // CHECK-NEXT: [(20,5), (20,5), (20,5)]] | ||
| // | ||
| call @printMemrefC64(%10) : (tensor<*xcomplex<f64>>) -> () | ||
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| // CHECK-NEXT: data = | ||
| // CHECK-NEXT: {{\[}}[4, 4, 4], | ||
| // CHECK-NEXT: [4, 4, 4], | ||
| // CHECK-NEXT: [4, 4, 4]] | ||
| // | ||
| call @printMemrefInd(%11) : (tensor<*xindex>) -> () | ||
|
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| return | ||
| } | ||
| } |
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