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Results 71 - 80 of 101 for broadcast_or (0.18 sec)
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subprojects/core/src/test/groovy/org/gradle/internal/operations/notify/BuildOperationNotificationBridgeTest.groovy
def listenerManager = new DefaultListenerManager(Scope.BuildSession) def buildOperationListenerManager = new DefaultBuildOperationListenerManager() def broadcast = buildOperationListenerManager.broadcaster def listener = Mock(BuildOperationNotificationListener) BuildOperationNotificationBridge bridgeInstance def "removes listener when stopped"() { given: def buildOperationListener
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Mar 12 02:21:10 UTC 2024 - 12.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.cc
} // Gets the broadcasted shapes of the input and weight of the BatchMatMul op // from their types. If there are dynamic dimesions, these shapes couldn't be // used as the arguments for the BroadcastTo ops. std::optional<std::pair<SmallVector<int64_t>, SmallVector<int64_t>>> GetBroadcastShapesForBatchMatmul(ShapedType input_type, ShapedType weight_type) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 47.1K bytes - Viewed (0) -
pkg/controller/podautoscaler/horizontal.go
cpuInitializationPeriod, delayOfInitialReadinessStatus time.Duration, ) *HorizontalController { broadcaster := record.NewBroadcaster(record.WithContext(ctx)) broadcaster.StartStructuredLogging(3) broadcaster.StartRecordingToSink(&v1core.EventSinkImpl{Interface: evtNamespacer.Events("")}) recorder := broadcaster.NewRecorder(scheme.Scheme, v1.EventSource{Component: "horizontal-pod-autoscaler"})
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Sat May 04 18:33:12 UTC 2024 - 63.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/stack_ops_decomposition.mlir
// CHECK-NEXT: %[[CONST10:.*]] = "tf.Const"() <{value = dense<10> : tensor<1xi32>}> : () -> tensor<1xi32> // CHECK-NEXT: %[[BROADCAST:.*]] = "tf.BroadcastTo"(%[[CAST_ZERO]], %[[CONST10]]) : (tensor<f32>, tensor<1xi32>) -> tensor<10xf32> // CHECK-NEXT: %[[BUFFER:.*]] = "tf.MlirLocalVarOp"() : () -> tensor<!tf_type.resource<tensor<10xf32>>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 25.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
%4 = "tfl.broadcast_args"(%2, %3) : (tensor<8xi64>, tensor<8xi64>) -> tensor<8xi64> %5 = "tfl.broadcast_to"(%arg0, %4) : (tensor<8x7x6x5x?x3x2x1xi1>, tensor<8xi64>) -> tensor<8x7x6x5x?x3x2x1xi1> %6 = "tfl.broadcast_to"(%arg1, %4) : (tensor<8x7x6x5x?x3x2x1xf32>, tensor<8xi64>) -> tensor<8x7x6x5x?x3x2x1xf32> %7 = "tfl.broadcast_to"(%arg2, %4) : (tensor<?x3x2x1xf32>, tensor<8xi64>) -> tensor<8x7x6x5x?x3x2x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
%cst = arith.constant dense<0> : tensor<1xui32> %0 = "tfl.broadcast_to"(%cst, %arg0) : (tensor<1xui32>, tensor<1xi32>) -> tensor<?xui32> return %0 : tensor<?xui32> // CHECK: %cst = arith.constant dense<0> : tensor<1xui32> // CHECK: %0 = "tfl.broadcast_to"(%cst, %arg0) : (tensor<1xui32>, tensor<1xi32>) -> tensor<?xui32> // CHECK: return %0 : tensor<?xui32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
pkg/controller/job/job_controller.go
defer utilruntime.HandleCrash() logger := klog.FromContext(ctx) // Start events processing pipeline. jm.broadcaster.StartStructuredLogging(3) jm.broadcaster.StartRecordingToSink(&v1core.EventSinkImpl{Interface: jm.kubeClient.CoreV1().Events("")}) defer jm.broadcaster.Shutdown() defer jm.queue.ShutDown() defer jm.orphanQueue.ShutDown() logger.Info("Starting job controller")
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon Jun 10 23:56:37 UTC 2024 - 77.6K bytes - Viewed (1) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
TFL::QConstOp rhs_qconst_op; auto GetBroadcastedConstOp = [&](Value operand) -> TFL::QConstOp { if (auto broadcast_op = dyn_cast_or_null<stablehlo::BroadcastInDimOp>( operand.getDefiningOp())) { auto stablehlo_const_op = dyn_cast_or_null<stablehlo::ConstantOp>( broadcast_op.getOperand().getDefiningOp()); auto const_uniform_quantized_type =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
(SelectOp $condition, $input2, $input1)>; // Fuse select(broadcast_to(input, shape), x, y) -> selectV2(input, x, y) // Also, fuse selectv2(broadcast_to(input, shape), x, y) -> selectV2(input, x, y) // It is safe to perform this transform here because- // the shapes of `pre_broadcast` and `dim` must be broadcast // compatible for the `broadcast_to` op to be valid.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
pkg/controller/endpointslicemirroring/reconciler_test.go
}) } } // Test Helpers func newReconciler(ctx context.Context, client *fake.Clientset, maxEndpointsPerSubset int32) *reconciler { broadcaster := record.NewBroadcaster(record.WithContext(ctx)) recorder := broadcaster.NewRecorder(scheme.Scheme, corev1.EventSource{Component: "endpoint-slice-mirroring-controller"}) return &reconciler{ client: client,
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon Feb 26 06:51:56 UTC 2024 - 42.7K bytes - Viewed (0)