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Results 1 - 10 of 74 for output_types (0.17 sec)
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tensorflow/compiler/mlir/tensorflow/tests/name_anonymous_iterators.mlir
// CHECK: "tf.Iterator" // CHECK-SAME: output_shapes{{.*}}200x28x28x1{{.*}}200x10 // CHECK-SAME: output_types = [f32, f32] // CHECK-SAME: shared_name = "_iterator1" %0 = "tf.AnonymousIteratorV3"() {output_shapes = [ #tf_type.shape<200x28x28x1>, #tf_type.shape<200x10>], output_types = [f32, f32]} : () -> tensor<!tf_type.resource> // CHECK: "tf.Iterator" // CHECK-SAME: shared_name = "_iterator2"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Oct 14 09:25:38 UTC 2022 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/perception_ops_utils_test.cc
auto indices_type = RankedTensorType::get(input_shape, builder->getI64Type()); auto output_type = RankedTensorType::get(output_shape, builder->getF32Type()); SmallVector<mlir::Type, 2> input_types{input_type, indices_type}; SmallVector<mlir::Type, 1> output_types{output_type}; return createMaxUnpoolingFunc<2, 1>(builder, input_types, output_types); } template <int N>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Sep 29 21:02:21 UTC 2022 - 7.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/func_attributes_multiple_callers.mlir
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
// CHECK: tfrt_fallback_async.executeop key({{[0-9]+}}) cost({{.*}}) device("/device:CPU:0") "tf.FlatMapDataset"({{.*}}) {Targuments = [], metadata = "", output_shapes = [#corert.shape<>], output_types = [i64]} {f = "__inference_Dataset_flat_map_lambda_19"} : 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Nov 16 18:13:18 UTC 2022 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/decompose_reduce_dataset.mlir
%1 = "tf.ReduceDataset"(%arg0, %arg1) { Targuments = [], Tstate = [i64], device = "", f = @__reduce_func_0, f._tf_data_function = true, output_shapes = [#tf_type.shape<>], output_types = [i64], use_inter_op_parallelism = true } : (tensor<!tf_type.variant>, tensor<i64>) -> (tensor<i64>) func.return }
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/tf_data_fuse_map_and_batch.mlir
output_shapes = [#tf_type.shape<>], output_types = [i32], preserve_cardinality = false, sloppy = false, use_inter_op_parallelism = true, metadata = ""} : (tensor<*x!tf_type.variant>) -> tensor<!tf_type.variant> %5 = "tf.BatchDatasetV2"(%4, %0, %1) {device = "", output_shapes = [#tf_type.shape<>], output_types = [i32], parallel_copy = false,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/group_by_dialect.cc
computeInputsOutputs(ops, &inputs, &outputs); std::vector<Type> input_types; std::vector<Type> output_types; input_types.reserve(inputs.size()); for (Value v : inputs) { input_types.push_back(v.getType()); } output_types.reserve(outputs.size()); for (Value v : outputs) { output_types.push_back(v.getType()); } // Create the function. MLIRContext* context = ops[0]->getContext();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 17 07:31:01 UTC 2023 - 8K bytes - Viewed (0) -
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/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)