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Results 1 - 10 of 12 for allowed_devices_ (0.22 sec)
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tensorflow/compiler/jit/xla_device.cc
session_options.config.intra_op_parallelism_threads()), use_multiple_streams_(options.use_multiple_streams), shape_determination_fns_(options.shape_determination_fns), allowed_devices_(options.allowed_devices), use_global_compute_stream_(options.use_global_compute_stream) { if (options.shape_determination_fns.empty()) { LOG(ERROR) << "shape_representation_fns must be non-empty."; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 21:05:42 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device.h
// platform will have resources allocated. For GPUs this will be // filled from visible_gpu_devices list from session configuration. std::optional<std::set<int>> allowed_devices_; const bool use_global_compute_stream_; // A static vector with device_ordinal as its index, describing the global // compute streams used in each XLA device. It is only used if
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 13.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_mark_initialized_variables.mlir
%0 = "tf.VarHandleOp"() {_class = ["loc:@dense/kernel"], allowed_devices = [], container = "", device = "/job:worker/replica:0/task:1/device:CPU:0", shared_name = "var1"} : () -> tensor<!tf_type.resource<tensor<100x50xf32>>> %1 = "tf.ReadVariableOp"(%0) {device = ""} : (tensor<!tf_type.resource<tensor<100x50xf32>>>) -> tensor<100x50xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_initialize_variables_in_session_init.mlir
attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf_saved_model.exported_names = ["serving_default"]} { %0 = "tf.VarHandleOp"() {_class = ["loc:@dense/kernel"], allowed_devices = [], container = "", device = "/job:worker/replica:0/task:1/device:CPU:0", shared_name = "var1"} : () -> tensor<!tf_type.resource<tensor<100x50xf32>>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 19 13:38:14 UTC 2022 - 5.7K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/cpp/golden/testing_ops.cc.golden
TF_RETURN_IF_ERROR(op_ptr->SetAttrType("dtype", dtype)); TF_RETURN_IF_ERROR(op_ptr->SetAttrShape("shape", shape)); TF_RETURN_IF_ERROR(op_ptr->SetAttrStringList("allowed_devices", allowed_devices)); int num_retvals = 1; return op_ptr->Execute(absl::MakeSpan(resource, 1), &num_retvals); } // Op: RestoreV2() // Summary: // // Description:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 16 19:04:03 UTC 2023 - 6.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/legalize_tfg.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/fuse_tpu_compile_and_execute_ops.mlir
"tf.TPUCompileSucceededAssert"(%compilation_status) {device = "/CPU:0"} : (tensor<!tf_type.string>) -> () %0 = "tf.VarHandleOp"() {_xla_inferred_shapes = [#tf_type.shape<>], allowed_devices = [], container = "", device = "/CPU:0", shared_name = "y"} : () -> tensor<!tf_type.resource<tensor<3x1xf32>>> %1 = "tf.ReadVariableOp"(%0) {device = "/CPU:0"} : (tensor<!tf_type.resource<tensor<3x1xf32>>>) -> tensor<3x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 13.8K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/cpp/golden/testing_ops.h.golden
// Status VarHandleOp(AbstractContext* ctx, AbstractTensorHandle** resource, DataType dtype, const PartialTensorShape shape, const char* container = "", const char* shared_name = "", const char* debug_name = "", absl::Span<string const> allowed_devices = {}, const char* name = nullptr, const char* raw_device_name = nullptr); //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 16 19:04:03 UTC 2023 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_gpu_device.cc
options.device_name = DEVICE_XLA_GPU; options.device_ordinal = i; options.compilation_device_name = DEVICE_GPU_XLA_JIT; options.use_multiple_streams = true; options.allowed_devices = gpu_ids; XlaShapeLayoutHelpers::ShapeDeterminationFns shape_representation_fns{ UseNoPreferenceLayoutFn(), IdentityShapeRepresentationFn()}; options.shape_determination_fns = {shape_representation_fns};
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 6.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/analysis/cost_analysis.mlir
} // CHECK-LABEL: test_expensive_ops func.func @test_expensive_ops(%arg: tensor<?x512xf32>) -> tensor<?x512xf32> { // expected-remark@+1 {{Cost: 1}} %0 = "tf.VarHandleOp"() {allowed_devices = [], container = "", device = "/job:localhost/replica:0/task:0/device:CPU:0", shared_name = "var"} : () -> tensor<!tf_type.resource<tensor<512x512xf32>>> // expected-remark@+1 {{Cost: 2}}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 12.2K bytes - Viewed (0)