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Results 11 - 20 of 231 for bef_executor (0.22 sec)
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tensorflow/compiler/mlir/tensorflow/tests/convert_control_to_data_outputs.mlir
func.func @simple_independent_chains(%arg0: !tf_res, %arg1: !tf_res, %arg2: tensor<f32>) { // CHECK: tf_executor.graph { tf_executor.graph { // CHECK: %[[A_CONTROL:.*]] = tf_executor.island wraps "tf.OpA"() : () -> () %control_A = tf_executor.island wraps "tf.OpA"() : () -> () // CHECK: %[[CHAIN_CONSTANT:.*]], %{{.*}} = tf_executor.island wraps "tf.Const"() <{value = dense<1> : tensor<i32>}> : () -> tensor<i32>
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/tpu_validate_inputs.mlir
%control = tf_executor.island() wraps "tf.TPUReplicateMetadata"() {_tpu_replicate = "cluster", device = "/device:TPU:0", num_replicas = 2, topology = "topology"} : () -> () %ri, %c0 = tf_executor.island wraps "tf.TPUReplicatedInput"(%arg0, %arg1) {index = 1 : i64, is_mirrored_variable = false, is_packed = false} : (tensor<i32>, tensor<i32>) -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 06:51:01 UTC 2024 - 15.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_bridge_v1/end_to_end.mlir
// CHECK: TPUCompile // CHECK: TPUExecute // CHECK-NOT: func @_func tf_executor.graph { %outputs, %control = tf_executor.island wraps "arith.constant"() {value = dense<2.000000e+00> : tensor<f32>} : () -> tensor<f32> %outputs_0, %control_1 = tf_executor.island wraps "arith.constant"() {value = dense<3.000000e+00> : tensor<f32>} : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 21:23:47 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/function-control-ret.mlir
func.func @main() { tf_executor.graph { %0 = tf_executor.island wraps "tf.PartitionedCall"() {Tin = [], Tout = [], config = "", config_proto = "", device = "", executor_type = "", f = @foo, name = "Call_foo"} : () -> () tf_executor.fetch } func.return } func.func @foo() { tf_executor.graph { %0:2 = tf_executor.island {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 1004 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/update_control_dependencies.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Nov 03 18:12:49 UTC 2023 - 25.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_executor_ops_invalid.mlir
} // ----- // Check that tf_executor.graph can't be nested directly in a tf_executor.graph. func.func @nested_graph() { tf_executor.graph { tf_executor.graph {} // expected-error@-1 {{'tf_executor.graph' op unallowed directly inside another tf_executor.graph}} } func.return } // ----- // Check that a tf_executor.fetch is terminating a tf_executor.graph (custom parser)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Oct 19 01:12:10 UTC 2023 - 28.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/convert_launch_func_to_tf_call.mlir
%3 = "tf_device.launch_func"(%2) {device = "/device:test_device:0", func = @_func} : (tensor<?xf32>) -> tensor<?xf32> // CHECK: tf_executor.yield %[[CALL_OUTPUT]] tf_executor.yield %3 : tensor<?xf32> } tf_executor.fetch %1#0 : tensor<?xf32> } func.return %0 : tensor<?xf32> } func.func @_func(%arg0: tensor<?xf32>) -> tensor<?xf32> { func.return %arg0 : tensor<?xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/resource-device-inference.mlir
: (tensor<i1>, !tf_res, !tf_res) -> () tf_executor.yield } tf_executor.fetch %island : !tf_executor.control } func.return } // CHECK-LABEL: func @if_then func.func @if_then( %arg0: !tf_res, %arg1: !tf_res) { tf_executor.graph { // CHECK: tf_executor.island %island = tf_executor.island { // CHECK-NEXT: "tf.Identity"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 17 16:01:45 UTC 2022 - 18.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_functional_to_executor.cc
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_executor.h" #define DEBUG_TYPE "tf-functional-to-executor" namespace mlir { namespace { // This pass converts mlir functions consisting of mlir ops into a tf_executor // dialect as a single island. // Result like so: // func @my_fn(%argi...) -> (result_t) { // %results:[[n_args]] = tf_executor.graph {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Aug 11 20:52:36 UTC 2023 - 4.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_device_propagation.mlir
%5:2 = tf_executor.island wraps "tf.Identity"(%3#1) : (tensor<i64>) -> tensor<i64> %6 = tf_executor.ControlTrigger %4#1, %5#1 tf_executor.fetch %6 : !tf_executor.control } func.return } // Tests tf_executor.NextIteration.Source/tf_executor.NextIteration.Sink has a // device when an intermediate op in its loop has a device.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 19K bytes - Viewed (0)