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Results 1 - 2 of 2 for SecondOp (0.24 sec)
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tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
// constraint on axis and depth. multiclass L2NormalizePatterns<Op FirstOp, Op SecondOp> { // This pattern constructs L2NormalizationOp from // Mul->Rsqrt->Sum->Square Or // Div->sqrt->Sum->Square def L2NormalizePattern1#FirstOp#SecondOp : Pat< (FirstOp $x, (SecondOp (TFL_SumOp (TFL_SquareOp:$sq_op $x),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/expand_calls.go
} // For 32-bit, need to deal with decomposition of 64-bit integers, which depends on endianness. if f.Config.BigEndian { x.firstOp = OpInt64Hi x.secondOp = OpInt64Lo x.firstType = x.typs.Int32 x.secondType = x.typs.UInt32 } else { x.firstOp = OpInt64Lo x.secondOp = OpInt64Hi x.firstType = x.typs.UInt32 x.secondType = x.typs.Int32 } // Defer select processing until after all calls and selects are seen.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Nov 28 05:13:40 UTC 2023 - 31.9K bytes - Viewed (0)