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Results 1 - 5 of 5 for panicfloat (0.13 sec)
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src/runtime/os_plan9.go
} throw("fault") case _SIGTRAP: if gp.paniconfault { panicmem() } throw(note) case _SIGINTDIV: panicdivide() case _SIGFLOAT: panicfloat() default: panic(errorString(note)) } } // indexNoFloat is bytealg.IndexString but safe to use in a note // handler. func indexNoFloat(s, t string) int { if len(t) == 0 { return 0
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 17 15:41:45 UTC 2024 - 10.3K bytes - Viewed (0) -
src/runtime/signal_windows.go
panicoverflow() case _EXCEPTION_FLT_DENORMAL_OPERAND, _EXCEPTION_FLT_DIVIDE_BY_ZERO, _EXCEPTION_FLT_INEXACT_RESULT, _EXCEPTION_FLT_OVERFLOW, _EXCEPTION_FLT_UNDERFLOW: panicfloat() } throw("fault") } // Following are not implemented. func initsig(preinit bool) { } func sigenable(sig uint32) { } func sigdisable(sig uint32) { }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Oct 17 20:32:29 UTC 2023 - 14.5K bytes - Viewed (0) -
src/runtime/panic.go
// code generated by the compiler for out of bounds index expressions, // out of bounds slice expressions, division by zero, and shift by negative. // The panicdivide (again), panicoverflow, panicfloat, and panicmem // functions are called by the signal handler when a signal occurs // indicating the respective problem. // // Since panic{Index,Slice,shift} are never called directly, and
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 29 17:58:53 UTC 2024 - 43.8K bytes - Viewed (0) -
src/runtime/signal_unix.go
} throw("fault") case _SIGFPE: switch gp.sigcode0 { case _FPE_INTDIV: panicdivide() case _FPE_INTOVF: panicoverflow() } panicfloat() } if gp.sig >= uint32(len(sigtable)) { // can't happen: we looked up gp.sig in sigtable to decide to call sigpanic throw("unexpected signal value") } panic(errorString(sigtable[gp.sig].name))
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 10 16:04:54 UTC 2024 - 45K bytes - Viewed (0) -
tensorflow/cc/framework/gradient_checker_test.cc
using ops::Div; using ops::MatMul; using ops::Placeholder; using ops::Real; using ops::Split; using ops::Square; using ops::Stack; using ops::Sub; using ops::Unstack; TEST(GradientCheckerTest, BasicFloat) { Scope scope = Scope::NewRootScope(); TensorShape shape({2, 4, 3}); auto x = Placeholder(scope, DT_FLOAT, Placeholder::Shape(shape)); auto y = Square(scope, x); float max_error;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 06 15:54:08 UTC 2018 - 6.7K bytes - Viewed (0)