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platforms/core-configuration/model-core/src/test/groovy/org/gradle/internal/reflect/validation/ValidationMessageCheckerTest.groovy
Type 'SomeCacheableTask' property 'inputFiles' is annotated with @InputFiles but missing a normalization strategy. Reason: If you don't declare the normalization, outputs can't be re-used between machines or locations on the same machine, therefore caching efficiency drops significantly. Possible solution: Declare the normalization strategy by annotating the property with either @PathSensitive, @Classpath or @CompileClasspath.
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Sep 28 09:51:04 UTC 2023 - 25.5K bytes - Viewed (0) -
docs/en/docs/deployment/concepts.md
### Server Memory For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**. And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu May 02 22:37:31 UTC 2024 - 18K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/expand_calls.go
regSize int64 sp *Value typs *Types firstOp Op // for 64-bit integers on 32-bit machines, first word in memory secondOp Op // for 64-bit integers on 32-bit machines, second word in memory firstType *types.Type // first half type, for Int64 secondType *types.Type // second half type, for Int64
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Nov 28 05:13:40 UTC 2023 - 31.9K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/_gen/generic.rules
(Const32 <typ.UInt32> [int32(c)])) (Const32 <typ.UInt32> [int32((1<<32)%c)]))) (Const32 <typ.UInt32> [int32(c)])))) // For 64-bit divides on 64-bit machines // (64-bit divides on 32-bit machines are lowered to a runtime call by the walk pass.) (Div64u x (Const64 [c])) && umagicOK64(c) && config.RegSize == 8 && umagic64(c).m&1 == 0 && config.useHmul => (Rsh64Ux64 <typ.UInt64>
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 16 22:21:05 UTC 2024 - 135.3K bytes - Viewed (0) -
pkg/dns/client/dns_test.go
}, { name: "failure: remote cluster k8s svc - same ns and different domain - name.namespace", host: "details.ns2.", expectResolutionFailure: dns.RcodeNameError, // on home machines, the ISP may resolve to some generic webpage. So this test may fail on laptops }, { name: "success: TypeA query returns A records only", host: "dual.localhost.",
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Thu Feb 29 16:17:34 UTC 2024 - 20.4K bytes - Viewed (0) -
src/regexp/regexp.go
matchPool [len(matchSize)]sync.Pool ) // get returns a machine to use for matching re. // It uses the re's machine cache if possible, to avoid // unnecessary allocation. func (re *Regexp) get() *machine { m, ok := matchPool[re.mpool].Get().(*machine) if !ok { m = new(machine) } m.re = re m.p = re.prog if cap(m.matchcap) < re.matchcap {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Feb 26 20:50:01 UTC 2024 - 38.5K bytes - Viewed (0) -
src/runtime/gc_test.go
t.Logf("bad last GC pause: got %v, want [0, 10e9]", pause) } } var hugeSink any func TestHugeGCInfo(t *testing.T) { // The test ensures that compiler can chew these huge types even on weakest machines. // The types are not allocated at runtime. if hugeSink != nil { // 400MB on 32 bots, 4TB on 64-bits. const n = (400 << 20) + (unsafe.Sizeof(uintptr(0))-4)<<40 hugeSink = new([n]*byte)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Jun 05 22:33:52 UTC 2024 - 17.6K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/troubleshooting/validation_problems.adoc
Normalization tells Gradle if, for example, the absolute path of input files matter or if only the contents is relevant. If you don't declare the normalization strategy, outputs of the task cannot be reused between machines or between different locations on the same machine. In short, without normalization, caching is highly ineffective. To fix this problem, you need to declare a normalization strategy, by applying one of the following annotations:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Sat Mar 23 22:37:03 UTC 2024 - 21.8K bytes - Viewed (0) -
build/common.sh
# Sometimes we can reach rsync through localhost and a NAT'd port. Other # times (when we are running in another docker container on the Jenkins # machines) we have to talk directly to the container IP. There is no one # strategy that works in all cases so we test to figure out which situation we # are in. if kube::build::rsync_probe 127.0.0.1 "${mapped_port}"; then
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Jun 06 16:13:15 UTC 2024 - 26.5K bytes - Viewed (0) -
src/time/sleep_test.go
// until one works so slow, loaded hardware isn't as flaky, // but without slowing down fast machines unnecessarily. // // (maxDuration is several orders of magnitude longer than we // expect this test to actually take on a fast, unloaded machine.) d := 1 * Millisecond const maxDuration = 10 * Second for { err := testReset(d) if err == nil { break }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Mar 22 16:33:57 UTC 2024 - 22.5K bytes - Viewed (0)