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src/cmd/go/internal/test/testflag.go
cf.String("fuzztime", "", "") cf.String("fuzzminimizetime", "", "") cf.StringVar(&testTrace, "trace", "", "") cf.Var(&testV, "v", "") cf.Var(&testShuffle, "shuffle", "") for name, ok := range passFlagToTest { if ok { cf.Var(cf.Lookup(name).Value, "test."+name, "") } } } // outputdirFlag implements the -outputdir flag.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Feb 21 19:25:24 UTC 2024 - 12.2K bytes - Viewed (0) -
src/cmd/internal/notsha256/sha256block_amd64.s
ADDQ $64, SI CMPQ SI, 256(SP) JB loop end: RET // shuffle byte order from LE to BE DATA flip_mask<>+0x00(SB)/8, $0x0405060700010203 DATA flip_mask<>+0x08(SB)/8, $0x0c0d0e0f08090a0b DATA flip_mask<>+0x10(SB)/8, $0x0405060700010203 DATA flip_mask<>+0x18(SB)/8, $0x0c0d0e0f08090a0b GLOBL flip_mask<>(SB), 8, $32 // shuffle xBxA -> 00BA DATA shuff_00BA<>+0x00(SB)/8, $0x0b0a090803020100
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 19 23:33:27 UTC 2023 - 14K bytes - Viewed (0) -
staging/src/k8s.io/apiserver/pkg/util/flowcontrol/fairqueuing/queueset/queueset.go
return nil } metrics.ObserveQueueLength(ctx, qs.qCfg.Name, fsName, queue.requestsWaiting.Length()) return req } // shuffleShardLocked uses shuffle sharding to select a queue index // using the given hashValue and the shuffle sharding parameters of the queueSet. func (qs *queueSet) shuffleShardLocked(hashValue uint64, descr1, descr2 interface{}) int { var backHand [8]int
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Jan 04 16:59:21 UTC 2024 - 42.4K bytes - Viewed (0) -
platforms/native/language-native/src/integTest/groovy/org/gradle/language/cpp/CppLibraryIntegrationTest.groovy
} project(':lib3') { apply plugin: 'cpp-library' } """ app.deck.writeToProject(file("lib1")) app.card.writeToProject(file("lib2")) app.shuffle.writeToProject(file("lib3")) expect: succeeds tasks(':lib1').debug.assemble
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Nov 16 20:20:03 UTC 2023 - 19.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/examples/mnist/mnist_train.py
os.environ[ 'TF_MLIR_TFR_LIB_DIR'] = 'tensorflow/compiler/mlir/tfr/examples/mnist' ds_train = tfds.load('mnist', split='train', shuffle_files=True) ds_train = ds_train.shuffle(1024).batch(batch_size).prefetch(64) ds_train = strategy.experimental_distribute_dataset(ds_train) with strategy.scope(): # Create an mnist float model with the specified float state. model = FloatModel()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 20 03:05:18 UTC 2021 - 6.5K bytes - Viewed (0) -
src/crypto/sha1/sha1block_amd64.s
MIX(a, b, c, d, e, 0x5A827999) #define ROUND1x(a, b, c, d, e, index) \ SHUFFLE(index); \ FUNC1(a, b, c, d, e); \ MIX(a, b, c, d, e, 0x5A827999) #define ROUND2(a, b, c, d, e, index) \ SHUFFLE(index); \ FUNC2(a, b, c, d, e); \ MIX(a, b, c, d, e, 0x6ED9EBA1) #define ROUND3(a, b, c, d, e, index) \ SHUFFLE(index); \ FUNC3(a, b, c, d, e); \ MIX(a, b, c, d, e, 0x8F1BBCDC)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 04 17:29:44 UTC 2024 - 31.5K bytes - Viewed (0) -
src/internal/bytealg/count_amd64.s
JMP countbody<>(SB) // input: // SI: data // BX: data len // AL: byte sought // R8: address to put result // This function requires the POPCNT instruction. TEXT countbody<>(SB),NOSPLIT,$0 // Shuffle X0 around so that each byte contains // the character we're looking for. MOVD AX, X0 PUNPCKLBW X0, X0 PUNPCKLBW X0, X0 PSHUFL $0, X0, X0 CMPQ BX, $16 JLT small MOVQ $0, R12 // Accumulator
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Oct 06 20:54:43 UTC 2023 - 4.7K bytes - Viewed (0) -
docs/bigdata/README.md
mapreduce.fileoutputcommitter.algorithm.version=2 # Use the latest committer version mapreduce.job.reduce.slowstart.completedmaps=0.99 # 99% map, then reduce mapreduce.reduce.shuffle.input.buffer.percent=0.9 # Min % buffer in RAM mapreduce.reduce.shuffle.merge.percent=0.9 # Minimum % merges in RAM mapreduce.reduce.speculative=false # Disable speculation for reducing mapreduce.task.io.sort.factor=999 # Threshold before writing to disk
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Thu Sep 29 04:28:45 UTC 2022 - 14.7K bytes - Viewed (0) -
src/testing/testing.go
m.exitCode = 0 return } if *shuffle != "off" { var n int64 var err error if *shuffle == "on" { n = time.Now().UnixNano() } else { n, err = strconv.ParseInt(*shuffle, 10, 64) if err != nil { fmt.Fprintln(os.Stderr, `testing: -shuffle should be "off", "on", or a valid integer:`, err) m.exitCode = 2 return } }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:00:11 UTC 2024 - 76.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset_test.py
] # Extend the representative dataset with np.ndarrays. repr_ds.extend([ {'tensor_key': np.random.uniform(low=-1.0, high=1.0, size=(3, 3))} for _ in range(4) ]) random.shuffle(repr_ds) with self.session() as sess: new_repr_ds = repr_dataset.replace_tensors_by_numpy_ndarrays( repr_ds, sess ) # The resulting dataset should not contain any tf.Tensors.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 04 07:35:19 UTC 2024 - 11.6K bytes - Viewed (0)