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Results 11 - 20 of 338 for aloop (0.07 sec)
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tensorflow/compiler/jit/xla_cluster_util.cc
// detection graph, disconnecting each loop from the enclosing graph. // Specifically, we: // * add a new "frame" node for each loop. // * replace edges to "Enter" nodes, and edges from "Exit" nodes with edges // to/from the corresponding frame node. In essence, we collapse the loop // into a single node for the purpose of cycle detection in the enclosing // graph.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 29 08:39:39 UTC 2024 - 21.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/decompose_reduce_dataset.cc
/*parallel_iterations=*/10, false, /*shape_invariant=*/false); // `_lower_using_switch_merge` is the default for While ops created // in TensorFlow and allows lowering to V1 control flow for loop // parallelization. dataset_while->setAttr("_lower_using_switch_merge", builder.getBoolAttr(true)); return dataset_while; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/block.go
HotPgoInitial = HotPgo | HotInitial // special case; single block loop, initial block is header block has a flow-in entry, but PGO says it is hot HotPgoInitialNotFLowIn = HotPgo | HotInitial | HotNotFlowIn // PGO says it is hot, and the loop is rotated so flow enters loop with a branch
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 15 15:44:14 UTC 2024 - 12.2K bytes - Viewed (0) -
tensorflow/compiler/jit/shape_inference.cc
} } } } } // Merge node causes a loop so we remove NextIteration->Merge edge before // performing shape inference. But removing those edges also prevents us // from inferring output shape for Merge node (we need shapes for all its // inputs). // For loop invariant resource input's Merge node, we set output resource // shape as Enter node's resource shape.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 00:41:19 UTC 2024 - 13K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/embedding_sequencing.cc
TF::WhileOp* while_op) { // Given a while loop body function 'body_func', find the tf.While Op that // uses it. auto uses_optional = body_func.getSymbolUses(module); if (!uses_optional.has_value()) { body_func.emitOpError() << "no use of while loop body"; return LogicalResult::failure(); } *while_op = nullptr;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 39.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/while_loop_outline.cc
// Collect external values used. llvm::SetVector<Value> extern_values; // The basic block arguments correspond to values that are loop carried, while // all those post are loop independent. Initialize extern_values with while_op // not loop carried operands. auto num_loop_carried = while_op.getCond().getNumArguments(); auto not_carried_operands = while_op.getOperands().drop_front(num_loop_carried);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/tfl_while_outline.mlir
// Test to verify loop outlining. // RUN: tf-opt --split-input-file --tfl-while-loop-outline %s | FileCheck %s // Check that while loop outlining is nop if re-ran. // RUN: tf-opt --tfl-while-loop-outline %s -o %t1 // RUN: tf-opt --tfl-while-loop-outline %t1 -o %t2 // RUN: diff %t1 %t2 // CHECK-LABEL: func @while func.func @while() -> tensor<1xf32> attributes {tf.entry_function = {outputs = "result"}} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.5K bytes - Viewed (0) -
src/crypto/internal/bigmod/nat.go
// Eliminate bounds checks in the loop. size := len(x.limbs) xLimbs := x.limbs[:size] yLimbs := y.limbs[:size] equal := yes for i := 0; i < size; i++ { equal &= ctEq(xLimbs[i], yLimbs[i]) } return equal } // IsZero returns 1 if x == 0, and 0 otherwise. func (x *Nat) IsZero() choice { // Eliminate bounds checks in the loop. size := len(x.limbs) xLimbs := x.limbs[:size]
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 13 18:57:38 UTC 2024 - 24K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/analysis/resource_alias_analysis.cc
// Analyzes while loops to compute resourceIDs for the loop results. // // (1) The base case for the analysis is that if the loop body does not execute // at all, the resource IDs for each result is the same as the resource IDs // of the corresponding input. // (2) If the loop does execute one or more times, then we need to account for // data flow through the body of the while loop. If result #r is the same
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 15 09:04:13 UTC 2024 - 28.2K bytes - Viewed (0) -
pkg/kubelet/cm/dra/manager.go
} } m.cache.RUnlock() // Loop through all inactive pods and call UnprepareResources on them. for _, podClaims := range inactivePodClaims { if err := m.unprepareResources(podClaims.uid, podClaims.namespace, podClaims.claimNames); err != nil { klog.ErrorS(err, "Unpreparing pod resources in reconcile loop", "podUID", podClaims.uid) } } }
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Fri May 03 13:23:29 UTC 2024 - 19.4K bytes - Viewed (0)