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Results 1 - 10 of 17 for max_iterations_ (0.22 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/shape_inference_pass.cc
} auto failure_or_converged = InferModuleShape( getOperation(), max_iterations_, /*ops_to_skip=*/{}, input_shapes_); if (failed(failure_or_converged)) return signalPassFailure(); if (!failure_or_converged.value()) { getOperation().emitError() << "shape inference pass did not reach convergence after " << max_iterations_; return signalPassFailure(); } } private:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 12:49:45 UTC 2024 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
int64_t max_iterations); // Shape propagation for call/control flow ops. // Returns a failure() on error, otherwise returns true to indicate that it // reached convergence, false otherwise. FailureOr<bool> PropagateShapeIntoAttachedFunctions(Operation* op, int64_t max_iterations); // Shape propagation for region based control flow.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
are only kept in the context rather than the ops folded/IR mutated. }]; let constructor = "TF::CreateTFShapeInferencePass()"; let options = [ Option<"max_iterations_", "max-iterations", "int64_t", /*default=*/"10", "Maximum shape inference iterations">, Option<"input_arg_shapes_", "input-arg-shapes", "std::string", /*default=*/"",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/async_while.mlir
// CHECK-LABEL: func.func private @"map/while_cond" func.func private @"map/while_cond"(%loop_count: tensor<i32>, %max_iterations: tensor<i32>, %handle: tensor<?x!tf_type.resource>, %flow_in: tensor<*xf32>, %matrix: tensor<3x3xf32>) -> tensor<i1> { %0 = "tf.Less"(%loop_count, %max_iterations) : (tensor<i32>, tensor<i32>) -> tensor<i1> return %0 : tensor<i1> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 22.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/decompose_resource_ops_pass.cc
// `max_iterations` are reached. Returns failure if resource ops decomposition // does not converge after `max_iterations`. // TODO(prakalps): This can be useful to a lot of other passes in bridge. // Extract out as a separate utility. LogicalResult ApplyPatternsLocallyUntilConverged( Operation* op_with_regions, FrozenRewritePatternSet& patterns, int max_iterations) { bool changed = true;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Sep 08 20:01:13 UTC 2023 - 8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_ops.td
The Pmap executes body function in parallel for all ranges up to $max_iterations. The pseudo code: for(int i = 0; i < $max_iterations; i++) { body_fn(MlrtFture($tensor_list_or_flow_in[i]), MlrtPromise($tensor_list_or_flow_in[i+1]), i, i, $invariant_args); } return $tensor_list_or_flow_in[$max_iterations] }]; let arguments = (ins TF_Tensor:$max_iterations,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 21:35:32 UTC 2024 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_mlrt_ops.td
The Pmap executes body function in parallel for all ranges up to $max_iterations. The pseudo code: for(int i = 0; i < $max_iterations; i++) { body_fn(MlrtFture($tensor_list_or_flow_in[i]), MlrtPromise($tensor_list_or_flow_in[i+1]), i, i, $invariant_args); } return $tensor_list_or_flow_in[$max_iterations] }]; let arguments = (ins
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 20:44:15 UTC 2024 - 13.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.h
// reached convergence, false otherwise. // If input shapes are provided, first refines the `main` function using // InferShapeForFunction. FailureOr<bool> InferModuleShape(ModuleOp module, int64_t max_iterations = 10, ArrayRef<TypeID> ops_to_skip = {}, ArrayRef<ArrayRef<int64_t>> input_shapes = {});
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 12:49:45 UTC 2024 - 3.5K bytes - Viewed (0) -
guava/src/com/google/common/collect/TopKSelector.java
int minThresholdPosition = 0; // The leftmost position at which the greatest of the k lower elements // -- the new value of threshold -- might be found. int iterations = 0; int maxIterations = IntMath.log2(right - left, RoundingMode.CEILING) * 3; while (left < right) { int pivotIndex = (left + right + 1) >>> 1; int pivotNewIndex = partition(left, right, pivotIndex);
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Mon Apr 01 16:15:01 UTC 2024 - 11.2K bytes - Viewed (0) -
android/guava/src/com/google/common/collect/TopKSelector.java
int minThresholdPosition = 0; // The leftmost position at which the greatest of the k lower elements // -- the new value of threshold -- might be found. int iterations = 0; int maxIterations = IntMath.log2(right - left, RoundingMode.CEILING) * 3; while (left < right) { int pivotIndex = (left + right + 1) >>> 1; int pivotNewIndex = partition(left, right, pivotIndex);
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Mon Apr 01 16:15:01 UTC 2024 - 11.2K bytes - Viewed (0)