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Results 41 - 50 of 116 for Lgetxattr (0.2 sec)
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tensorflow/compiler/jit/xla_device_ops.cc
<< type_string() << " on an XLA device. This should never happen."; } XlaAssignVariableOp::XlaAssignVariableOp(OpKernelConstruction* c) : OpKernel(c) { OP_REQUIRES_OK(c, c->GetAttr("dtype", &dtype_)); } void XlaAssignVariableOp::Compute(OpKernelContext* context) { OP_REQUIRES(context, dtype_ == context->input(1).dtype(), errors::InvalidArgument(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/infeed_ops_xla_adjust_layout.cc
OpBuilder builder(op.getContext()); SmallVector<Type> result_types(op.getResultTypes().begin(), op.getResultTypes().end()); if (!op->getAttr("layout")) { auto layout = mlir::GetTPUInfeedLayout(result_types, builder); if (failed(layout)) return; op->setAttr("layout", layout.value()); } } };
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 2.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/xla_rewrite.cc
} } if (!in_order) { // Functions do not get reused in practice, so skip the check for if the // callee has been updated. StringAttr callee_sym = cluster_func_op.getFuncAttr().getAttr(); MoveResourceArgsToEnd(symtab.lookup<func::FuncOp>(callee_sym)); } builder.setInsertionPoint(cluster_func_op); auto xla_launch_op = builder.create<TF::XlaLaunchOp>(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 4.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/canonicalize_compile_and_replicate_attributes.cc
auto walk_result = func_op->walk([&](mlir::Operation* op) { // Convert `_tpu_replicate`. if (op->hasAttr(TF::kTpuReplicateAttr)) { op->setAttr(tensorflow::kReplicationInfoAttr, op->getAttr(TF::kTpuReplicateAttr)); op->removeAttr(tensorflow::kTpuReplicateAttr); op->setAttr(tensorflow::kCompileDeviceTypeAttr, builder.getStringAttr(tensorflow::kTpuDevice)); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 05 23:50:19 UTC 2022 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantize.cc
static bool AllowDynamicRangeQuantizedOperand( Operation* quantized_op, const CustomMap& custom_op_map) { auto call_op = cast<TF::PartitionedCallOp>(quantized_op); StringRef function_name = call_op.getFAttr().cast<FlatSymbolRefAttr>().getValue(); // The below can be generalized as there are more read-only ops added such // as slice. const bool is_gather = function_name.contains("gather");
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 23.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/insert_custom_aggregation_ops.cc
if (!entry_function_attr) return std::nullopt; return entry_function_attr.getValue(); } else { TF::PartitionedCallOp call_op = dyn_cast_or_null<TF::PartitionedCallOp>(op); const auto f_attr = call_op.getFAttr().dyn_cast<FlatSymbolRefAttr>(); if (!f_attr) return std::nullopt; return f_attr.getValue(); } } class InsertCustomAggregationOpsPass : public PassWrapper<InsertCustomAggregationOpsPass,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 14.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/save_model.py
graph = ops.get_default_graph() for op in graph.get_operations(): if op.type == '_Retval': expected_node_name = op.name if op.get_attr('tf_saved_model.index_path') is not None: index_path_name = op.get_attr('tf_saved_model.index_path')[0] index_path_name = index_path_name.decode('utf-8').split(':')[0] try:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 12.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/convert_tpu_model_to_cpu.cc
private: LogicalResult matchAndRewrite(TF::TPUPartitionedCallOp call_op, PatternRewriter& rewriter) const override { auto f_attr = mlir::dyn_cast<FlatSymbolRefAttr>(call_op.getFAttr()); auto module_op = call_op->getParentOfType<ModuleOp>(); SymbolTable symbol_table(module_op); auto f_name = f_attr.getValue(); func::FuncOp float_func =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/raise_target_subgraphs.cc
StringAttr device = mlir::cast<StringAttr>( added_func_op->getRegion(0).getBlocks().front().front().getAttr(kDevice)); StringAttr inference_type = mlir::cast<StringAttr>( added_func_op->getRegion(0).getBlocks().front().front().getAttr( kInferenceType)); added_call_op->setAttr(kDevice, device); added_call_op->setAttr(kInferenceType, inference_type);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.4K bytes - Viewed (0) -
src/cmd/link/internal/ld/dwarf.go
a.Atr = attr a.Cls = uint8(cls) a.Value = value a.Data = data } // Each DIE (except the root ones) has at least 1 attribute: its // name. getattr moves the desired one to the front so // frequently searched ones are found faster. func getattr(die *dwarf.DWDie, attr uint16) *dwarf.DWAttr { if die.Attr.Atr == attr { return die.Attr } a := die.Attr b := a.Link for b != nil {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 02 16:25:18 UTC 2024 - 72.4K bytes - Viewed (0)