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tensorflow/compiler/mlir/tf2xla/internal/passes/clustering_passes.td
}]; let constructor = "tensorflow::tf2xla::internal::CreateExtractOutsideCompilationPass()"; } def XlaClusterFormationPass : Pass<"tf-xla-cluster-formation", "ModuleOp"> { let summary = "Encapsulate partitioned calls within a Cluster op"; let description = [{ This pass clusters `tf.PartitionedCall` and `tf.StatefulPartitionedCall` with `_xla_compile_device_type` attribute into a `tf_device.cluster`.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 02:01:13 UTC 2024 - 19.8K bytes - Viewed (0) -
tensorflow/cc/saved_model/loader.cc
// // Each call to Session::Run() that identifies a new subgraph (based on feeds // and fetches) creates some datastructures that live as long as the session // (the partitioned graph, associated executors etc.). // // A pathological case of this would be if say the initialization op // (main_op/legacy_init_op) involves the use of a large constant. Then we
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 02 04:36:00 UTC 2024 - 23K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/tpu_sharding_identification_pass.cc
return llvm::formatv("requires attribute '{0}'", attribute).str(); } // Returns nullptr if the op does not have a sharding attribute. template <typename PartitionedOp> mlir::Operation* NullUnlessSharded(PartitionedOp op) { return op.get_XlaSharding() ? op : nullptr; } // Returns a TPUPartitionedInput op connected to a `tf_device.cluster_func`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 02:01:13 UTC 2024 - 28.9K bytes - Viewed (0) -
android/guava/src/com/google/common/collect/Iterators.java
* OutOfMemoryError}. * * @param iterator the iterator to return a partitioned view of * @param size the desired size of each partition (the last may be smaller) * @return an iterator of immutable lists containing the elements of {@code iterator} divided into * partitions * @throws IllegalArgumentException if {@code size} is nonpositive */
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 03 14:46:32 UTC 2024 - 50.2K bytes - Viewed (0) -
guava/src/com/google/common/collect/Iterators.java
* OutOfMemoryError}. * * @param iterator the iterator to return a partitioned view of * @param size the desired size of each partition (the last may be smaller) * @return an iterator of immutable lists containing the elements of {@code iterator} divided into * partitions * @throws IllegalArgumentException if {@code size} is nonpositive */
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 03 14:46:32 UTC 2024 - 50.2K bytes - Viewed (0) -
tensorflow/compiler/jit/build_xla_ops_pass.cc
} // In theory we can use PartitionedCall if the XLA cluster does not have any // stateful operations. However, for now we choose to be conservative since // we don't have any evidence that choosing a stateless partitioned call helps // for performance. ops::StatefulPartitionedCall call( root.WithOpName("stateful_partitioned_call"), args, n->output_types(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_cluster_formation.mlir
// CHECK-SAME: topology = "topology" // CHECK: tf_device.return %[[CLUSTER]]#0, %[[CLUSTER]]#1 // CHECK: return %[[REPLICATE]]#0, %[[REPLICATE]]#3 // Test replication with model parallelism using partitioned resource inputs. // The cluster will be wrapped in a `tf_device.cluster` first and then by a // replicate. // TPUPartitionedInputV2 nodes would be inside the replicate but outside the // cluster.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 53.9K bytes - Viewed (0) -
common-protos/k8s.io/api/apps/v1beta1/generated.proto
message RollingUpdateStatefulSetStrategy { // Partition indicates the ordinal at which the StatefulSet should be partitioned // for updates. During a rolling update, all pods from ordinal Replicas-1 to // Partition are updated. All pods from ordinal Partition-1 to 0 remain untouched. // This is helpful in being able to do a canary based deployment. The default value is 0. optional int32 partition = 1;
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Mon Mar 11 18:43:24 UTC 2024 - 24K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/passes.td
This transformation pass optimizes the op execution order of the ops in the model. }]; let constructor = "CreateOptimizeOpOrderPass()"; } def PartitionedTopologicalSortPass : Pass<"tfl-partitioned-topological-sort", "mlir::func::FuncOp"> { let summary = "Re-sort execution order such that delegated ops stay together"; let constructor = "CreatePartitionedTopologicalSortPass()"; let description = [{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 22.6K bytes - Viewed (0) -
staging/src/k8s.io/api/apps/v1beta1/generated.proto
message RollingUpdateStatefulSetStrategy { // Partition indicates the ordinal at which the StatefulSet should be partitioned // for updates. During a rolling update, all pods from ordinal Replicas-1 to // Partition are updated. All pods from ordinal Partition-1 to 0 remain untouched. // This is helpful in being able to do a canary based deployment. The default value is 0. optional int32 partition = 1;
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Mar 28 15:34:11 UTC 2024 - 24.1K bytes - Viewed (0)