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src/cmd/vendor/github.com/google/pprof/internal/report/report.go
} // Correlate the symbols from the binary with the profile samples. for _, s := range syms { sns := symNodes[s] // Gather samples for this symbol. flatSum, cumSum := sns.Sum() // Get the function assembly. insts, err := obj.Disasm(s.sym.File, s.sym.Start, s.sym.End, o.IntelSyntax) if err != nil { return err }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 31 19:48:28 UTC 2024 - 37.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
func.func @testGather(%arg0 : tensor<?xf32>, %arg1 : tensor<?xi32>) -> tensor<?xf32> { %0 = "tfl.gather"(%arg0, %arg1) {axis = 1 : i32}: (tensor<?xf32>,tensor<?xi32>) -> tensor<?xf32> func.return %0 : tensor<?xf32> } // ----- // CHECK-LABEL: testGather func.func @testGather(%arg0 : tensor<2xf32>, %arg1 : tensor<2xi32>) -> tensor<2xf32> { %0 = "tfl.gather"(%arg0, %arg1) {axis = 1 : i32}: (tensor<2xf32>,tensor<2xi32>) -> tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
src/math/rand/v2/rand_test.go
} r.Shuffle(n, func(i, j int) { p[i], p[j] = p[j], p[i] }) return encodePerm(p) }}, } for _, test := range tests { t.Run(test.name, func(t *testing.T) { // Gather chi-squared values and check that they follow // the expected normal distribution given n!-1 degrees of freedom. // See https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test and
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 18:42:28 UTC 2024 - 17.4K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/memcombine.go
return -1 } return val.AuxInt } // Element size of the individual stores. size := root.Aux.(*types.Type).Size() if size*n > root.Block.Func.Config.RegSize { return false } // Gather n stores to look at. Check easy conditions we require. a := make([]StoreRecord, 0, 8) rbase, roff := splitPtr(root.Args[0]) if root.Block.Func.Config.arch == "S390X" {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Mar 21 19:45:41 UTC 2024 - 18.4K bytes - Viewed (0) -
common-protos/k8s.io/api/autoscaling/v2beta2/generated.proto
// When unset, just the metricName will be used to gather metrics. // +optional optional k8s.io.apimachinery.pkg.apis.meta.v1.LabelSelector selector = 2; } // MetricSpec specifies how to scale based on a single metric // (only `type` and one other matching field should be set at once). message MetricSpec {
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Mon Mar 11 18:43:24 UTC 2024 - 21K bytes - Viewed (0) -
staging/src/k8s.io/api/autoscaling/v2/generated.proto
// When unset, just the metricName will be used to gather metrics. // +optional optional .k8s.io.apimachinery.pkg.apis.meta.v1.LabelSelector selector = 2; } // MetricSpec specifies how to scale based on a single metric // (only `type` and one other matching field should be set at once). message MetricSpec {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Mar 28 15:34:11 UTC 2024 - 21.3K bytes - Viewed (0) -
staging/src/k8s.io/api/autoscaling/v2/types_swagger_doc_generated.go
} func (MetricIdentifier) SwaggerDoc() map[string]string { return map_MetricIdentifier } var map_MetricSpec = map[string]string{ "": "MetricSpec specifies how to scale based on a single metric (only `type` and one other matching field should be set at once).",
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon Feb 27 23:13:24 UTC 2023 - 21.3K bytes - Viewed (0) -
staging/src/k8s.io/api/autoscaling/v2beta2/generated.proto
// When unset, just the metricName will be used to gather metrics. // +optional optional .k8s.io.apimachinery.pkg.apis.meta.v1.LabelSelector selector = 2; } // MetricSpec specifies how to scale based on a single metric // (only `type` and one other matching field should be set at once). message MetricSpec {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Mar 28 15:34:11 UTC 2024 - 21.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/test_schema.fbs
// f = scale * (q - zero_point) // For other quantization types, the QuantizationDetails below is used. min:[float]; // For importing back into tensorflow. max:[float]; // For importing back into tensorflow. scale:[float]; // For dequantizing the tensor's values. zero_point:[long]; // If this is not none, the other quantization parameters (i.e. min, max,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 19 19:46:06 UTC 2021 - 26.1K bytes - Viewed (0) -
RELEASE.md
during the python Dataset object creation instead doing it during Iterator creation time. * Add `batch_dims` argument to `tf.gather`. * The behavior of `tf.gather` is now correct when `axis=None` and `batch_dims<0`. * Update docstring for gather to properly describe the non-empty `batch_dims` case. * Removing of dtype in the constructor of initializers and partition_info
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)