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Results 71 - 80 of 94 for var_handle_op (0.22 sec)
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tensorflow/compiler/mlir/tfrt/tests/mlrt/tf_to_mlrt.mlir
// Test lowering of IfrtLoadVariableOp // CHECK-LABEL: func @ifrt_load_variable_test func.func @ifrt_load_variable_test() -> () { // CHECK: [[HANDLE:%.*]] = tf_mlrt.executeop() // CHECK-SAME: VarHandleOp %0 = "tf.VarHandleOp"() {__op_key = 1: i32, device = "/device:CPU:0", container = "", shared_name = "variable"} : () -> tensor<!tf_type.resource<tensor<1x3xf32>>> // CHECK-NEXT: "tf_mlrt.ifrt_load_variable"([[HANDLE]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 20:44:15 UTC 2024 - 24.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/analyze_variables.cc
// Returns true if 'op' is TF op that accepts resource type, but is // supported by TFLite. bool IsSupportedTFLiteResourceOp(Operation* op) { return llvm::isa<TF::ReadVariableOp, TF::AssignVariableOp, TF::VarHandleOp, TF::LookupTableFindV2Op, TF::LookupTableImportV2Op, TF::LookupTableSizeV2Op>(op); } // Returns true if 'op' is TF/TFLite control flow op that can accept resource
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_cluster_formation.mlir
func.func @resource_before_cluster() { // CHECK-NEXT: [[CONST:%.*]] = "tf.Const" %0 = "tf.Const"() {value = dense<1.000000e+00> : tensor<f32>} : () -> tensor<f32> // CHECK-NEXT: [[UNUSED_RESOURCE:%.*]] = "tf.VarHandleOp" // CHECK-NEXT: "tf.AssignAddVariableOp"([[UNUSED_RESOURCE]], [[CONST]]) // CHECK: "tf_device.cluster" // CHECK-NEXT: "tf.NoOp" // CHECK-NEXT: tf_device.return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 53.9K bytes - Viewed (0) -
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/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/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)