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tensorflow/compiler/mlir/g3doc/_includes/tf_passes.md
output. ### `-tf-tpu-host-computation-expansion` _Expands host computation before and after TPU computation._ This pass expands outside compilation attributes to Identity/Cast ops at the head of TPU computation if it's only used by outside compiled ops. ### `-tf-tpu-identity-pruning` _Removes Identity/IdentityN ops from the TPU computation_ ### `-tf-tpu-merge-variables-with-execute`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 02 02:26:39 UTC 2023 - 96.4K bytes - Viewed (0) -
tensorflow/compiler/jit/device_compilation_cache.h
executable.get()); int64_t hlo_module_size = 0; if (compilation_result != nullptr && compilation_result->computation != nullptr) { hlo_module_size = compilation_result->computation->proto().ByteSizeLong(); } return absl::StrCat( "{compile_state: ", compile_state, ", request_count: ", request_count,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Oct 12 08:49:52 UTC 2023 - 8.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/clustering_passes.h
CreateTPUClusterFormationPass(bool strict_clusters = false); // Creates a pass that extracts outside compilation (Host ops inside device // cluster) at head/tail of Device cluster to run before/after XLA computation. std::unique_ptr<mlir::OperationPass<mlir::ModuleOp>> CreateExtractHeadTailOutsideCompilationPass(); // Creates a pass that extract outside compilation (Host ops inside cevice
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 02:01:13 UTC 2024 - 3.5K bytes - Viewed (0) -
guava/src/com/google/common/util/concurrent/Uninterruptibles.java
* <li>To get uninterruptibility and remove checked exceptions, use {@link * Futures#getUnchecked}. * </ul> * * @throws ExecutionException if the computation threw an exception * @throws CancellationException if the computation was cancelled */ @CanIgnoreReturnValue @ParametricNullness public static <V extends @Nullable Object> V getUninterruptibly(Future<V> future)
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Tue Apr 04 09:45:04 UTC 2023 - 18.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v1/compile_tf_graph_test.cc
std::vector<std::vector<xla::Shape>> per_core_arg_shapes; tpu::TPUCompileMetadataProto metadata_proto; std::vector<TensorShape> arg_shapes; if (computation.index() == 0) { TF_RETURN_IF_ERROR(tensorflow::tf2xla::internal::ConfigureMetadata( std::get<0>(computation).mlir_module, arg_shapes, metadata_proto)); } XlaShapeLayoutHelpers::ShapeDeterminationFns shape_determination_fns;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 08:08:57 UTC 2024 - 11.7K bytes - Viewed (0) -
src/internal/types/testdata/check/decls2/decls2a.go
// it's double-declared (it would cost extra in the common case to verify // this). But the MethodSet computation will not find it due to the name // collision caused by the double-declaration, leading to an internal // inconsistency while we are verifying one computation against the other. // var _ = T1c{}.Pointer // T2's method declared before the type. func (*T2) f /* ERROR "field and method" */ () {}
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 30 19:19:55 UTC 2024 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_xla_computations_pass.cc
return errors::InvalidArgument( "Undeclared output of XLA computation. Some common causes of this " "error are: 1) variable initializers that depend on the XLA " "computation; 2) gradient computations that depend on the XLA " "computation, which can be mitigated by moving gradient computations " "inside XLA computation. Offending edge: ",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 15.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/serialized-mlir-module-str-attr.mlir
// Test simple serialized computation consisting of a function named `main` // with a tf.Identity op forwarding the function single argument to the function // single result. // CHECK-LABEL: module
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 09 13:27:00 UTC 2022 - 998 bytes - Viewed (0) -
tensorflow/compiler/aot/codegen.cc
{{DECLS_FROM_OBJ_FILE}} {{NS_START}} // {{CLASS}} represents a computation previously specified in a // TensorFlow graph, now compiled into executable code. This extends the generic // XlaCompiledCpuFunction class with statically type-safe arg and result // methods. Usage example: // // {{CLASS}} computation; // // ...set args using computation.argN methods // CHECK(computation.Run());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 01:20:01 UTC 2024 - 36.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v1/compile_mlir_util.h
// use_tuple_args: when this is true, always create a tuple argument for the // entry computation. // enable_op_fallback: when this is true, prefer tf2xla fallback kernels over // MLIR // native kernels for legalization to HLO. // return_tuple: when this is true, always create a tuple result for the // entry computation. // shape_determination_fns: Contains layout preference fn and shape
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 17:24:39 UTC 2024 - 10.4K bytes - Viewed (0)