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Results 11 - 20 of 83 for output_types (0.24 sec)
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tensorflow/compiler/mlir/tensorflow/utils/parallel_execute_util.cc
tf_device::ParallelExecuteOp BuildParallelExecuteOp( tf_device::ClusterFuncOp cluster_func, OpBuilder* builder) { const auto output_types = cluster_func.getResultTypes(); builder->setInsertionPoint(cluster_func); auto parallel_execute = builder->create<tf_device::ParallelExecuteOp>( cluster_func.getLoc(), 1, output_types); cluster_func->remove(); auto& block = parallel_execute.GetRegionBlockWithIndex(0);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 13 03:57:18 UTC 2023 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/lift_tflite_flex_ops.mlir
} : (tensor<!tf_type.variant>) -> tensor<!tf_type.variant> func.return %0 : tensor<!tf_type.variant> // CHECK: "tf.MapDataset"( // CHECK-SAME: <{f = @{{.*}}, metadata = "", output_shapes = [#tf_type.shape<>], output_types = [!tf_type.string], preserve_cardinality = true, use_inter_op_parallelism = true}> {Targuments = []} } // CHECK-LABEL: TfTakeWhileDataset
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/functionalize-if-fail.mlir
func.func @main() { tf_executor.graph { %0 = tf_executor.island wraps "tf._TPUReplicate"() {computation = @foo, Tinputs = [], Tbroadcast_inputs = [], NumVariables = 0, Tguaranteed_constants = [], output_types = []} : () -> () loc("_TPUReplicate") tf_executor.fetch } func.return } func.func @foo() { tf_executor.graph {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_data_optimization.td
def FuseMapAndBatch : Pat< (TF_BatchDatasetV2Op (TF_MapDatasetOp $input_dataset, $other_arguments, $f, $output_types, $output_shapes, $use_inter_op_parallelism, $preserve_cardinality, $force_synchronous, $map_dataset_metadata), $batch_size, $drop_remainder, $parallel_copy, $batch_output_types,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/legacy-fed-input-without-inputs.pbtxt
value { s: "name: \"batch_1\"\n[dist_belief.ImageInputDef.ext] {\n num_rows: 128\n num_cols: 128\n mean_value: 128\n std_value: 128\n colorspace: RGB\n}\n" } } attr { key: "output_types" value { list { type: DT_FLOAT } } } } versions { producer: 27
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 24 00:20:25 UTC 2020 - 1.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/functionalize-if.mlir
func.func @main() { tf_executor.graph { %0 = tf_executor.island wraps "tf._TPUReplicate"() {computation = @foo, Tinputs = [], Tbroadcast_inputs = [], NumVariables = 0, Tguaranteed_constants = [], output_types = []} : () -> () loc("_TPUReplicate") tf_executor.fetch } func.return } func.func @foo() { tf_executor.graph {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/analyze-variables.mlir
output_shapes = [#tf_type.shape<?>], output_types = [!tf_type.string]} : (tensor<*x!tf_type.variant>, tensor<i64>) -> tensor<!tf_type.variant> %1 = "tf.ReduceDataset"(%0, %cst_1, %arg0) { Targuments = [!tf_type.resource], Tstate = [i32], device = "", f = @__reduce_func, f._tf_data_function = true, output_shapes = [#tf_type.shape<>],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 09 11:49:28 UTC 2022 - 5.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/decompose_optionals.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 4.5K bytes - Viewed (0) -
tensorflow/cc/framework/cc_op_gen_util.h
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Feb 26 00:57:05 UTC 2024 - 4.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/xla_sharding_util.h
mlir::LogicalResult GetOutputTypesForLogicalDeviceComputation( int core_id, llvm::ArrayRef<xla::OpSharding> output_sharding_config, mlir::tf_device::ClusterFuncOp cluster_func, llvm::SmallVectorImpl<mlir::Type>* output_types, llvm::SmallVectorImpl<int>* cluster_to_core_index); // Remaps outputs of `new_parallel_execute` op that represent concurrent // execution of the `tf_device.cluster_func` at index `cluster_idx` of
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 22:18:34 UTC 2024 - 6K bytes - Viewed (0)