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Results 11 - 20 of 34 for StatefulPartitionedCall (0.27 sec)
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tensorflow/compiler/mlir/tensorflow/tests/end-to-end-tpu-reshard-variables.mlir
tf_executor.graph { %control = tf_executor.island { "tf.StatefulPartitionedCall"(%arg0) <{config = "", config_proto = "", executor_type = "", f = @partitioned}> : (tensor<*x!tf_type.resource>) -> () tf_executor.yield } tf_executor.fetch %control : !tf_executor.control }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 21:23:47 UTC 2024 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/components/tf_to_stablehlo.mlir
// ----- // This test makes sure functions with tf._noinline=true is not inlined. module { func.func @stateful_partitioned_call(%arg0: tensor<1x2x2x3xf32>) -> (tensor<1x2x2x3xf32>) { %0 = "tf.StatefulPartitionedCall"(%arg0) <{ config = "", config_proto = "", executor_type = "", f = @some_func }> { _collective_manager_ids = [], device = "" } : (tensor<1x2x2x3xf32>) -> tensor<1x2x2x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 08 20:05:12 UTC 2024 - 13.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/clustering_passes.td
def XlaClusterFormationPass : Pass<"tf-xla-cluster-formation", "ModuleOp"> { let summary = "Encapsulate partitioned calls within a Cluster op"; let description = [{ This pass clusters `tf.PartitionedCall` and `tf.StatefulPartitionedCall` with `_xla_compile_device_type` attribute into a `tf_device.cluster`. Notice this pass will only rewrite the outermost call if there are nested
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 02:01:13 UTC 2024 - 19.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_device_passes.td
let summary = "Rewrites partition calls into Xla launch ops to make the attached function run on XLA."; let description = [{ This pass rewrites `tf.PartitionedCall` and `tf.StatefulPartitionedCall` operations with `_xla_compile_device_type` attribute in a `tf_device.cluster` into `tf.XlaLaunch` operations. This makes the attached function execute with XLA. `tf.XlaLaunch` requires resource-type arguments
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 17 18:52:57 UTC 2024 - 12.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/mlir_bridge_pass_util.cc
bool IsNonReplicatedGraph(const Graph& graph, const FunctionLibraryDefinition* function_library) { auto predicate = [](const Graph& graph) { const std::string kStatefulPartitionedCallOp = "StatefulPartitionedCall"; for (const Node* node : graph.nodes()) { auto node_op = node->type_string(); if (node_op == kStatefulPartitionedCallOp) { // Functions called by StatefulfulPartitionedCall ops with
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 12:22:33 UTC 2024 - 8.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/quantize_preprocess.cc
pm.addNestedPass<mlir::func::FuncOp>( mlir::quant::stablehlo::CreateConvertTFQuantOpsToMHLOPass()); pm.addPass(mlir::createCanonicalizerPass()); // TF -> StableHLO legalization. // Skip StatefulPartitionedCall to preserve aliased functions. mlir::odml::AddLegalizeTFToStablehloPasses(pm, /*skip_quantization_ops=*/true, /*skip_resize=*/false,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 12:49:45 UTC 2024 - 9.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/replace_stablehlo_ops_in_main_function_with_xla_call_module_ops.mlir
// CHECK: return %[[SUBGRAPH_1]] : tensor<1024x3xf32> // CHECK: } } // ----- // main function contains PartitionedCall and StatefulPartitionedCall ops which // is used to preserve aliased functions. This test make sure stablehlo ops in // each PartitionedCall functions are lifted.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 39.8K bytes - Viewed (0) -
tensorflow/compiler/jit/build_xla_ops_pass.cc
// we don't have any evidence that choosing a stateless partitioned call helps // for performance. ops::StatefulPartitionedCall call( root.WithOpName("stateful_partitioned_call"), args, n->output_types(), func, ops::StatefulPartitionedCall::Attrs{}.ConfigProto(config_string)); for (const Edge* e : n->in_edges()) { if (e->IsControlEdge()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/internal/saved_model_api_test.cc
// dtype: DT_FLOAT // tensor_shape: { // } // } // } // outputs: { // key : "output_0" // value: { // name : "StatefulPartitionedCall:0" // dtype: DT_FLOAT // tensor_shape: { // } // } // } // method_name: "tensorflow/serving/predict" // } // }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 08:08:45 UTC 2024 - 21.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/embedding_sequencing.cc
} } TF::StatefulPartitionedCallOp MakeFuncCaller( mlir::OpBuilder& builder, const Location& loc, func::FuncOp func, const llvm::SetVector<Value>& operands) { // Constructs a tf.StatefulPartitionedCall to the function provided in 'func' // using the operands in 'operands'. Assumes the insertion point on builder is // already set. auto symbol =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 39.4K bytes - Viewed (0)