- Sort Score
- Result 10 results
- Languages All
Results 41 - 50 of 884 for scaleY (0.24 sec)
-
staging/src/k8s.io/api/testdata/v1.30.0/apps.v1beta2.Scale.yaml
apiVersion: apps/v1beta2 kind: Scale metadata: annotations: annotationsKey: annotationsValue creationTimestamp: "2008-01-01T01:01:01Z" deletionGracePeriodSeconds: 10 deletionTimestamp: "2009-01-01T01:01:01Z" finalizers: - finalizersValue generateName: generateNameValue generation: 7 labels: labelsKey: labelsValue managedFields: - apiVersion: apiVersionValue fieldsType: fieldsTypeValue
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Apr 18 08:52:25 UTC 2024 - 972 bytes - Viewed (0) -
staging/src/k8s.io/api/testdata/v1.30.0/extensions.v1beta1.Scale.yaml
apiVersion: extensions/v1beta1 kind: Scale metadata: annotations: annotationsKey: annotationsValue creationTimestamp: "2008-01-01T01:01:01Z" deletionGracePeriodSeconds: 10 deletionTimestamp: "2009-01-01T01:01:01Z" finalizers: - finalizersValue generateName: generateNameValue generation: 7 labels: labelsKey: labelsValue managedFields: - apiVersion: apiVersionValue fieldsType: fieldsTypeValue
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Apr 18 08:52:25 UTC 2024 - 978 bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.cc
if (auto uniform_type = dyn_cast<UniformQuantizedType>(q_type)) { float min, max, scale; tflite::tensor_utils::SymmetricQuantizeFloats( real_values.data(), real_values.size(), quantized_values.data(), &min, &max, &scale); // The scale has been adjusted, so the adjusted scale should be respected. if (std::abs(scale - uniform_type.getScale()) > 1e-3) { return Quantize(real_value, tensor_type);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 02:10:16 UTC 2024 - 43.2K bytes - Viewed (0) -
pkg/controller/deployment/rolling_test.go
defer cancel() scaled, err := controller.reconcileNewReplicaSet(ctx, allRSs, newRS, deployment) if err != nil { t.Errorf("unexpected error: %v", err) continue } if !test.scaleExpected { if scaled || len(fake.Actions()) > 0 { t.Errorf("unexpected scaling: %v", fake.Actions()) } continue } if test.scaleExpected && !scaled { t.Errorf("expected scaling to occur")
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Fri Sep 08 09:10:50 UTC 2023 - 11K bytes - Viewed (0) -
staging/src/k8s.io/apiextensions-apiserver/test/integration/subresources_test.go
t.Fatalf("incorrect scale via discovery: expected name: %v, got: %v", "noxus/scale", scale.Name) } if scale.Namespaced != true { t.Fatalf("incorrect scale via discovery: expected namespace: %v, got: %v", true, scale.Namespaced) } if scale.Kind != "Scale" { t.Fatalf("incorrect scale via discovery: expected kind: %v, got: %v", "Scale", scale.Kind) } sort.Strings(scale.Verbs)
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Mar 12 17:35:34 UTC 2024 - 33.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/uniform_quantized_types.h
UniformQuantizedPerAxisType CreateI8F32UniformQuantizedPerAxisType( Location loc, MLIRContext& context, ArrayRef<double> scales, ArrayRef<int64_t> zero_points, int quantization_dimension, bool narrow_range = false); // Creates a `UniformQuantizedPerAxisType` with the given `scales` and // `zero_points` values. The produced type has f32 as its expressed type and
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/uniform_quantized_types.cc
SmallVector<double>(scales), SmallVector<int64_t>(zero_points), quantization_dimension, /*storageTypeMin=*/llvm::minIntN(8) + (narrow_range ? 1 : 0), /*storageTypeMax=*/llvm::maxIntN(8)); } UniformQuantizedPerAxisType CreateI32F32UniformQuantizedPerAxisType( const Location loc, MLIRContext& context, const ArrayRef<double> scales,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/device_target.h
OutputInputFreeScale, CustomScale, }; // Each kernel signature has its own specification for scales. struct KernelSpec { // Scale constraint ScaleConstraintType type; // Custom function to derive the scales. Only available when the scale // constraint is `CustomScale`. ScaleFn scale_fn; }; class KernelSpecs { public: using Signature = llvm::SmallVector<quant::AnyQuantizedType, 4>;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 08 10:41:08 UTC 2024 - 7.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/convert-tf-quant-types.mlir
{ %scales = "tf.Const"() { value = dense<1.0> : tensor<f32> } : () -> tensor<f32> %zps = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32> // CHECK: %[[qint:.*]] = "tf.UniformQuantize" // CHECK: %[[int:.*]] = "tf.Cast"(%[[qint]]) <{Truncate = false}> : (tensor<1x!tf_type.qint8>) -> tensor<1xi8> %0 = "tf.UniformQuantize"(%arg0, %scales, %zps) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/const_tensor_utils.cc
// Zero scales we make the minimum fp value, this is because some flatbuffers // contain zero scale for zero values. llvm::SmallVector<double> scales; for (float scale : quant_params.scale) { if (scale == 0) { scales.push_back(std::numeric_limits<float>::min()); continue; } scales.push_back(scale); } // Scale size can't be zero as it is checked before.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 23:04:40 UTC 2024 - 16.6K bytes - Viewed (0)