- Sort Score
- Result 10 results
- Languages All
Results 91 - 100 of 114 for var_handle_op (0.55 sec)
-
tensorflow/compiler/mlir/quantization/tensorflow/tests/merge_initializer_function_ops_to_main.mlir
%out_0, %ctl_0 = tf_executor.island wraps "tf.Const"() {value = dense<"var_0"> : tensor<1x!tf_type.string>} : () -> tensor<1x!tf_type.string> %out_1, %ctl_1 = tf_executor.island wraps "tf.VarHandleOp"() {container = "", shared_name = "var_0", device = "/device:CPU:0"} : () -> tensor<!tf_type.resource<tensor<2xf32>>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:49:35 UTC 2023 - 29.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/device_canonicalize.mlir
func.func @cluster_result_for_resource_update(%arg0 : tensor<!tf_type.string>, %arg1 : tensor<!tf_type.string>) -> (tensor<!tf_type.string>, tensor<!tf_type.string>) { %resource = "tf.VarHandleOp"() {container = "c", shared_name = "v"} : () -> tensor<*x!tf_type.resource<tensor<*x!tf_type.string>>> // CHECK: %[[RESULT:.*]] = "tf_device.cluster" %0:2 = "tf_device.cluster"() ({ // CHECK: "tf.Equal"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Nov 04 14:07:37 UTC 2022 - 6.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_savedmodel_passes.td
for those which come from a "bound input" parameter. For the latter, said parameter will not be removed, unlike LowerGlobalsToMlProgramPass. So this will lower e.g. %0 = "tf.VarHandleOp" {name = "foo"} %1 = "tf.ReadVariableOp"(%0) to %0 = ml_program.global_load @vars.foo }]; let constructor = "::mlir::tf_saved_model::CreateLowerVariableOpsToMlProgramPass()";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jun 09 19:11:34 UTC 2023 - 7.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_globals_to_ml_program.cc
if (auto global = tf_saved_model::LookupBoundInputOfType< tf_saved_model::GlobalTensorOp>(func, i, syms)) { OpBuilder builder(func.getBody()); auto dummy = builder.create<TF::VarHandleOp>( global.getLoc(), func.getArgument(i).getType(), "dummy", "dummy"); func.getArgument(i).replaceAllUsesWith(dummy.getResult()); argsToErase.set(i); } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
TFE_DeleteContextOptions(opts); TFE_Op* var_op = TFE_NewOp(ctx, "VarHandleOp", status); TFE_OpSetAttrType(var_op, "dtype", TF_INT64); TFE_OpSetAttrShape(var_op, "shape", {}, 0, status); const TFE_OpAttrs* attributes = TFE_OpGetAttrs(var_op); TFE_Op* copy_op = TFE_NewOp(ctx, "VarHandleOp", status); TFE_OpSetAttrType(copy_op, "dtype", TF_FLOAT); TFE_OpAddAttrs(copy_op, attributes);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 03 20:50:20 UTC 2023 - 94.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
TFE_TensorHandle* TestVariable(TFE_Context* ctx, float value, const tensorflow::string& device_name) { TF_Status* status = TF_NewStatus(); // Create the variable handle. TFE_Op* op = TFE_NewOp(ctx, "VarHandleOp", status); if (TF_GetCode(status) != TF_OK) return nullptr; TFE_OpSetAttrType(op, "dtype", TF_FLOAT); TFE_OpSetAttrShape(op, "shape", {}, 0, status); TFE_OpSetAttrString(op, "container", "localhost", 0);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 22:37:46 UTC 2024 - 23.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/convert_control_to_data_outputs.mlir
// Tests loop with two resource types, one of them being unique per iteration. // // Similar to above test but with one additional resource that is not unique per // iteration (created by `tf.VarHandleOp`). func.func @mixed_unique_resource_chain(%arg0: tensor<i32>, %arg1: tensor<f32>) { tf_executor.graph {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 18:35:00 UTC 2024 - 68.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mark_ops_for_outside_compilation.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 16:22:32 UTC 2024 - 29.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/resource_device_inference.cc
// these regions, so use a pre-order walk. WalkResult walk_res = func_op.walk<WalkOrder::PreOrder>([&](Operation* op) { if (auto var_handle = dyn_cast<VarHandleOp>(op)) { // Record VarHandleOp's device attribute. StringRef device_attr = GetDeviceAttr(op); if (device_attr.empty()) return WalkResult::advance();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 03 03:47:00 UTC 2023 - 13.3K 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)