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Results 11 - 16 of 16 for _device_ordinal (0.19 sec)
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tensorflow/compiler/mlir/tfrt/tests/fuse_tpu_compile_and_execute_ops.mlir
// CHECK-NEXT: "tf._XlaSendFromHost"(%arg0, %0, [[key]]) <{device_ordinal = 0 : i64, key = "host_compute_channel_0_retvals"}> {_xla_has_host_transfer = true, device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<*xi32>, tensor<*xi32>, tensor<3x!tf_type.string>) -> ()
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/compiler/jit/get_compiler_ir.cc
xla::ExecutableBuildOptions build_options; if (result.collective_info) { build_options.set_num_replicas(result.collective_info->group_size); } build_options.set_device_ordinal( options.device_ordinal != -1 ? options.device_ordinal : local_client->default_device_ordinal()); build_options.set_result_layout(result.xla_output_shape); build_options.set_device_allocator(options.device_allocator.get());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 06:59:07 UTC 2024 - 19K bytes - Viewed (0) -
tensorflow/compiler/jit/kernels/xla_ops.cc
xla::LocalClient* client, se::DeviceMemoryAllocator* allocator) { se::Stream* stream = GetStream(ctx); int device_ordinal = stream ? stream->parent()->device_ordinal() : client->default_device_ordinal(); XlaComputationLaunchContext launch_context( client, allocator, device_ordinal, /*allocate_xla_tensors=*/platform_info.is_on_xla_device(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 22:46:36 UTC 2024 - 41.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/replicate_to_island.mlir
// CHECK: tf_executor.fetch // Tests tf._TPUDeviceOrdinalPlaceholder ops are replaced with explicit device // ordinal constant values given by logical_core. // CHECK-LABEL: func @device_ordinals func.func @device_ordinals() { tf_executor.graph { %0:1 = tf_executor.island {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 15.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/clustering_passes.td
%2 = "tf._XlaRecvAtHost"(%1) {device_ordinal = 0 : i64, key = "host_compute_channel_0_0_args"} : (tensor<3x!tf_type.string>) -> tensor<f32> %3 = "tf.Identity"(%2) : (tensor<f32>) -> tensor<f32> "tf._XlaSendFromHost"(%3, %1) {device_ordinal = 0 : i64, key = "host_compute_channel_0_0_retvals"} : (tensor<f32>, tensor<3x!tf_type.string>) -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 02:01:13 UTC 2024 - 19.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/mlir_bridge_pass_util_test.cc
Output x = ops::Placeholder(root.WithOpName("x"), DT_FLOAT); NameAttrList f_name_attr; f_name_attr.set_name("XTimesTwoFloat"); ops::TPUPartitionedCall f(root.WithOpName("f"), {x}, /*device_ordinal=*/0, {DT_FLOAT}, f_name_attr); TF_ASSERT_OK(root.ToGraph(&graph)); EXPECT_TRUE(IsInferenceGraph(graph, /*function_library=*/nullptr)); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 17 19:51:50 UTC 2024 - 10.3K bytes - Viewed (0)