forked from OSchip/llvm-project
[MLIR][Standard] Add log1p operation to std
Differential Revision: https://reviews.llvm.org/D95041
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@ -1942,10 +1942,39 @@ def LogOp : FloatUnaryOp<"log"> {
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let summary = "base-e logarithm of the specified value";
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}
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//===----------------------------------------------------------------------===//
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// Log10Op
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//===----------------------------------------------------------------------===//
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def Log10Op : FloatUnaryOp<"log10"> {
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let summary = "base-10 logarithm of the specified value";
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}
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//===----------------------------------------------------------------------===//
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// Log1pOp
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//===----------------------------------------------------------------------===//
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def Log1pOp : FloatUnaryOp<"log1p"> {
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let summary = "Computes the natural logarithm of one plus the given value";
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let description = [{
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Computes the base-e logarithm of one plus the given value. It takes one
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operand and returns one result of the same type.
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log1p(x) := log(1 + x)
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Example:
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```mlir
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%y = log1p %x : f64
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```
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}];
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}
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//===----------------------------------------------------------------------===//
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// Log2Op
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//===----------------------------------------------------------------------===//
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def Log2Op : FloatUnaryOp<"log2"> {
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let summary = "base-2 logarithm of the specified value";
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}
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@ -596,6 +596,9 @@ func @standard_instrs(tensor<4x4x?xf32>, f32, i32, index, i64, f16) {
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// CHECK: %{{[0-9]+}} = ceildivi_signed %cst_4, %cst_4 : tensor<42xi32>
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%174 = ceildivi_signed %tci32, %tci32 : tensor<42 x i32>
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// CHECK: %{{[0-9]+}} = log1p %arg1 : f32
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%175 = log1p %f : f32
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return
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}
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