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Results 11 - 20 of 210 for _xla (0.05 sec)
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tensorflow/compiler/jit/xla_cluster_util.h
// Returns the XLA cluster in which `node` is placed if it is in an XLA cluster, // otherwise returns nullopt. std::optional<absl::string_view> GetXlaClusterForNode(const Node& node); // Removes `node_def` its XLA cluster (by clearing its _XlaCluster attribute). void RemoveFromXlaCluster(NodeDef* node_def); // Removes `node` its XLA cluster (by clearing its _XlaCluster attribute).
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 4.6K bytes - Viewed (0) -
tensorflow/compiler/jit/device_compiler_disable_test.cc
} DisableXlaCompilation(); xla::LocalClient* client = xla::ClientLibrary::LocalClientOrDie(); DeviceType device_type = DeviceType(DEVICE_CPU_XLA_JIT); const XlaCompiler::CompilationResult* compilation_result; xla::LocalExecutable* executable; using XlaDeviceExecutablePersistor = DeviceExecutablePersistor<xla::LocalExecutable, xla::LocalClient>;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device_compiler_client.h
#include "tensorflow/compiler/jit/device_compiler_client.h" #include "xla/client/local_client.h" namespace tensorflow { class XlaDeviceCompilerClient : public DeviceCompilerClient<xla::LocalExecutable, xla::LocalClient> { public: explicit XlaDeviceCompilerClient(xla::LocalClient* client) : client_(client) {} absl::StatusOr<std::unique_ptr<xla::LocalExecutable>> BuildExecutable( const XlaCompiler::Options& options,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 2.5K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device_context.h
#include "tensorflow/compiler/tf2xla/xla_compiler.h" #include "xla/client/global_data.h" #include "xla/client/local_client.h" #include "tensorflow/core/framework/allocator.h" #include "tensorflow/core/framework/device_base.h" #include "tensorflow/core/lib/core/status.h" namespace tensorflow { // The allocator used for Tensors assigned to the XLA device. The allocator
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 5.1K bytes - Viewed (0) -
tensorflow/compiler/jit/pjrt_device_compiler_client.h
#include "tensorflow/compiler/jit/device_compiler_client.h" #include "xla/pjrt/pjrt_client.h" namespace tensorflow { // Calls into PjRtClient to provide functionality for building, serializing and // loading PjRtLoadedExecutables. class PjRtDeviceCompilerClient : public DeviceCompilerClient<xla::PjRtLoadedExecutable, xla::PjRtClient> { public: explicit PjRtDeviceCompilerClient(xla::PjRtClient* client) : client_(client) {}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 3.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf.cc
return absl::OkStatus(); } TF_ASSIGN_OR_RETURN( auto hlo_module_config, xla::HloModule::CreateModuleConfigFromProto( compilation_result->computation->proto(), xla::DebugOptions())); TF_ASSIGN_OR_RETURN( std::unique_ptr<xla::HloModule> hlo_module, xla::HloModule::CreateFromProto(compilation_result->computation->proto(), hlo_module_config));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 00:40:46 UTC 2024 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/legalize_tf_mlir.cc
#include "tensorflow/compiler/tf2xla/layout_util.h" #include "tensorflow/compiler/tf2xla/xla_compiler.h" #include "tensorflow/compiler/tf2xla/xla_helpers.h" #include "xla/mlir_hlo/mhlo/IR/register.h" #include "xla/shape.h" #include "tensorflow/core/framework/tensor_shape.h" #include "tensorflow/core/platform/errors.h" #include "tensorflow/core/platform/profile_utils/cpu_utils.h"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Apr 14 20:29:34 UTC 2024 - 6.1K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device_compiler_client.cc
#include <memory> #include <string> #include <utility> #include <vector> #include "xla/client/local_client.h" namespace tensorflow { namespace { std::vector<const xla::Shape*> GetShapePointers( absl::Span<const xla::Shape> shapes) { std::vector<const xla::Shape*> shape_ptrs; shape_ptrs.reserve(shapes.size()); for (const auto& shape : shapes) { shape_ptrs.push_back(&shape);
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/transforms/xla_legalize_tf_passes.td
"quant::QuantizationDialect", "shape::ShapeDialect", "sparse_tensor::SparseTensorDialect", "stablehlo::StablehloDialect" ]; } def LegalizeTFCollective : Pass<"xla-legalize-tf-collective", "ModuleOp"> { let summary = "Legalize TF/XLA collective ops (TensorFlow dialect) to the HLO dialect"; let constructor = "mlir::mhlo::CreateLegalizeTFCollectivePass()";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 17:44:14 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/tf_stablehlo_pass.cc
#include "tensorflow/compiler/mlir/tf2xla/transforms/passes.h" #include "xla/mlir_hlo/mhlo/IR/hlo_ops.h" #include "xla/mlir_hlo/mhlo/IR/register.h" #include "xla/mlir_hlo/mhlo/transforms/passes.h" #include "xla/mlir_hlo/mhlo/transforms/rewriters.h" #include "xla/mlir_hlo/mhlo/utils/type_conversion.h" namespace mlir { namespace odml { class TFToMhloPass
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 7.5K bytes - Viewed (0)