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tensorflow/compiler/mlir/tensorflow/utils/tpu_rewrite_device_util.h
inline constexpr absl::string_view kDeviceAssignmentAttr = "device_assignment"; // A TPU device for execution alongside its associated host CPU device. struct TPUDeviceAndHost { TPUDeviceAndHost() = default; TPUDeviceAndHost(llvm::StringRef device, llvm::StringRef host) : device(device), host(host) {} std::string device; std::string host; };
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 11.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/testdata/func_with_dead_ops.mlir
"909", tf.device = "/job:tpu_host_worker/replica:0/task:0/device:CPU:0"}, %arg7: tensor<*x!tf_type.resource<tensor<25001x64xf32>>> {tf._user_specified_name = "911", tf.device = "/job:tpu_host_worker/replica:0/task:0/device:CPU:0"}, %arg8: tensor<*x!tf_type.resource<tensor<25001x64xf32>>> {tf._user_specified_name = "913", tf.device = "/job:tpu_host_worker/replica:0/task:1/device:CPU:0"}, %arg9: tensor<*x!tf_type.resource<tensor<25001x64xf32>>> {tf._user_specified_name = "915", tf.device = "/job:t...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 13 23:22:50 UTC 2024 - 15.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf-hashtables.mlir
%0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "hash_table_1dd4fef4-646d-491f-a3a8-bf5334f45813", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource> "tf.LookupTableImportV2"(%0, %cst, %cst_1) {device = ""} : (tensor<!tf_type.resource>, tensor<3x!tf_type.string>, tensor<3xi64>) -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 9.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/rewrite_util.cc
namespace mlir { namespace TF { namespace { const char kDeviceAttr[] = "device"; const char kDeviceGpu[] = "GPU"; std::optional<std::string> GetOpDevice(mlir::Operation *op) { mlir::StringAttr device = op->getAttrOfType<mlir::StringAttr>(kDeviceAttr); if (!device || device.getValue().empty()) { return std::nullopt; } tensorflow::DeviceNameUtils::ParsedName parsed_name;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 19:47:48 UTC 2024 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/jit/device_util.h
class DeviceInfoCache { public: bool IsGpu(DeviceId device) const { return is_gpu_[device.id()]; } bool IsCpu(DeviceId device) const { return is_cpu_[device.id()]; } absl::string_view GetNameFor(DeviceId device) const { return names_[device.id()]; } absl::StatusOr<DeviceId> GetIdFor(absl::string_view name);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 15 17:18:31 UTC 2024 - 7.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/get-alternative-subgraph.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/ir/gpu_ops.td
Op<TFRT_GPU_Dialect, mnemonic, traits> { } // TODO(b/260267885): We may add a device argument when we want to support // GPU MIG. def TransferToDeviceOp: Gpu_Op<"transfer_to_device"> { let summary = "Transfer a CPU tensor to device."; let description = [{ Transfer a CPU tensor to device. Example: %device_tensor = gpurt.transfer_to_device %cpu_tensor }];
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 15:01:21 UTC 2024 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/raise-target-subgraphs.mlir
%1 = "tfl.mul"(%0, %arg2) {tac.device = "GPU", fused_activation_function = "RELU6", tac.inference_type = "FLOAT"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> %2 = "tfl.add"(%arg0, %arg3) {tac.device = "GPU", fused_activation_function = "RELU6", tac.inference_type = "FLOAT"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_host_recv_device_context.h
StringPiece tensor_name, Device* device, Tensor* cpu_tensor, StatusCallback done) override; void CopyTensorInSameDevice(const Tensor* input_tensor, Device* device, Tensor* output_tensor, StatusCallback done) const override { done(errors::Internal("device->device copy not implemented.")); } private:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 22:46:36 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir
%cst = "tf.Const"() <{value = dense<[0, 1]> : tensor<2xi32>}> {device = ""} : () -> tensor<2xi32> %cst_0 = "tf.Const"() <{value = dense<1.000000e+01> : tensor<f32>}> {device = ""} : () -> tensor<f32> %0 = "tf.Sum"(%arg0, %cst) <{keep_dims = false}> {device = ""} : (tensor<1x4xf32>, tensor<2xi32>) -> tensor<f32> %1 = "tf.Greater"(%0, %cst_0) {device = ""} : (tensor<f32>, tensor<f32>) -> tensor<i1>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 32.1K bytes - Viewed (0)