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tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-as-function.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 24 00:18:34 UTC 2023 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/graph-as-function.mlir
func.func @main(%arg0: tensor<*x!tf_type.resource>, %arg1: tensor<*x!tf_type.resource<tensor<3x3x1x32xf32>>>, %arg2: tensor<*xf32>, %arg3: tensor<2x4x6x8xi32>) -> (tensor<f32>, tensor<f32>) attributes {tf.entry_function = {inputs = "args_0,args_1,args_2,args_3", outputs = "rets_0_RetVal,rets_1_RetVal"}} { %graph:2 = tf_executor.graph {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/shape-attrs.pbtxt
type: DT_INT32 type: DT_INT64 } } } } node { name: "MultiDeviceIteratorGetNextFromShard" op: "MultiDeviceIteratorGetNextFromShard" input: "args_2" input: "args_3" input: "args_4" attr { key: "output_shapes" value { list { shape { dim { size: 5 } dim { size: 40
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Dec 04 18:02:53 UTC 2020 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/decompose_reduce_dataset.mlir
// CHECK-NEXT: "tf.MakeIterator"(%[[ARG_0]], %[[ANON_ITER]]) // CHECK-NEXT: %[[COND:.*]] = "tf.Const" // CHECK-NEXT: %[[WHILE:[0-9]*]]:5 = "tf.WhileRegion"(%[[COND]], %[[ARG_1]], %[[ARG_2]], %[[ARG_3]], %[[ARG_4]]) // CHECK-NEXT: ^bb0(%[[ARG_5:.*]]: tensor<i1>, %[[ARG_6:.*]]: tensor<i64>, %[[ARG_7:.*]]: tensor<i32>, %[[ARG_8:.*]]: tensor<!tf_type.resource<tensor<64xf32>>>, %[[ARG_9:.*]]: tensor<!tf_type.resource<tensor<128xf32>>>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 18 17:16:34 UTC 2022 - 9.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/device-arg-retval-attr.mlir
func.func @main(%arg0: tensor<*xf32> {tf.device = "/CPU:0"}, %arg1: tensor<2x4x6x8xi32>) -> (tensor<*xf32>, tensor<2x4x6x8xi32> {tf.device = "/CPU:1"}) attributes {tf.entry_function = {inputs = "args_0,args_1", outputs = "rets_0,rets_1"}} { %0:2 = tf_executor.graph {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/device-arg-retval-attr.pbtxt
# Verify arg and ret devices are added as arg and ret attributes. # CHECK-LABEL: func @main # CHECK-SAME: (%[[ARG_0:[a-z0-9]+]]: tensor<*xf32> {tf.device = "/CPU:0"}, %[[ARG_1:[a-z0-9]+]]: tensor<2x4x6x8xi32>) -> (tensor<*xf32>, tensor<*xi32> {tf.device = "/CPU:1"}) node { name: "args_0" op: "_Arg" device: "/CPU:0" attr { key: "T" value { type: DT_FLOAT } } attr {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Dec 07 17:45:22 UTC 2020 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/aliasing_arg_attr.mlir
// Verify tf.aliasing_output attributes on args are dropped during export. module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 121 : i32}} { func.func @main(%arg0: tensor<*xf32> {tf.aliasing_output = 0 : i64}, %arg1: tensor<2x4x6x8xi32>) -> (tensor<*xf32>, tensor<2x4x6x8xi32> {tf.device = "/CPU:1"}) attributes {tf.entry_function = {inputs = "args_0,args_1", outputs = "rets_0,rets_1"}} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 958 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/disallow_stateful_partitioned_call.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 24 20:05:09 UTC 2023 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/func_attributes_multiple_callers.mlir
func.return %4, %6 : tensor<!tf_type.variant>, tensor<!tf_type.variant> } // CHECK-LABEL: @funcB_renamed func.func private @funcB_renamed(%arg0: tensor<i64> {tf._user_specified_name = "args_0"}) -> tensor<!tf_type.variant> attributes {tf._original_func_name = "funcB", tf._tf_data_function = true, tf.signature.is_stateful} { %0 = "tf.Const"() {device = "/device:CPU:0", value = dense<0> : tensor<i64>} : () -> tensor<i64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 17 20:57:36 UTC 2022 - 4.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/func_attributes.mlir
func.return %4 : tensor<!tf_type.variant> } // CHECK-LABEL: __inference_Dataset_flat_map_lambda_190 func.func private @__inference_Dataset_flat_map_lambda_190(%arg0: tensor<i64> {tf._user_specified_name = "args_0"}) -> tensor<!tf_type.variant> attributes {tf._original_func_name = "__inference_Dataset_flat_map_lambda_19", tf._tf_data_function = true, tf.signature.is_stateful} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Nov 16 18:13:18 UTC 2022 - 3.6K bytes - Viewed (0)