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tensorflow/compiler/jit/xla_device_compiler_client.cc
xla::ExecutableBuildOptions build_options = GetExecutableBuildOptions( options, result, client_->default_device_ordinal()); TF_ASSIGN_OR_RETURN( auto executables, client_->Compile(*result.computation, argument_layouts, build_options)); TF_RET_CHECK(executables.size() == 1); return std::move(executables[0]); } absl::StatusOr<std::string> XlaDeviceCompilerClient::SerializeExecutable(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 4.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf.h
namespace tf2xla { namespace v2 { // Legalizes the given mlir::Module into XLA HLO. If successful, returns the // compiled XLA HLO. V1 of the tf2xla uses MLIR whereas V0 does not use MLIR. // // Inputs: // computation - The MLIR module op. It currently takes in // tpu::FunctionToHloArgs but this is deprecated. arg_shapes - The shapes of // the arguments in module_op. device_type - The device type to compile for.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 07:32:57 UTC 2024 - 2.9K bytes - Viewed (0) -
src/crypto/sha1/sha1block.go
for len(p) >= chunk { // Can interlace the computation of w with the // rounds below if needed for speed. for i := 0; i < 16; i++ { j := i * 4 w[i] = uint32(p[j])<<24 | uint32(p[j+1])<<16 | uint32(p[j+2])<<8 | uint32(p[j+3]) } a, b, c, d, e := h0, h1, h2, h3, h4 // Each of the four 20-iteration rounds // differs only in the computation of f and // the choice of K (_K0, _K1, etc). i := 0
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 03 21:27:16 UTC 2023 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/batch_function_deduplicate.mlir
func.return %0#0 : tensor<*xi32> } // CHECK: func private @compute_0
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 3.5K bytes - Viewed (0) -
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)