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Results 101 - 110 of 123 for input_dtype (0.14 sec)
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platforms/software/dependency-management/src/integTest/groovy/org/gradle/integtests/resolve/DependencyManagementResultsAsInputsIntegrationTest.groovy
given: buildFile << """ abstract class TaskWithResultInput extends DefaultTask { @Input abstract ListProperty<${inputType}> getInput() @OutputFile abstract RegularFileProperty getOutputFile() @TaskAction void action() { println(input.get()) }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed May 22 19:04:04 UTC 2024 - 26.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo.cc
// If no padding is negative return the input as is. if (llvm::all_of(explicit_padding, [](int64_t pad) { return pad >= 0; })) { return value; } auto input_type = mlir::cast<RankedTensorType>(value.getType()); auto input_shape = input_type.getShape(); llvm::SmallVector<int64_t, 4> start; llvm::SmallVector<int64_t, 4> size; start.reserve(explicit_padding.size() / 2);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 154.9K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_xla_computations_pass.cc
*index); } return absl::OkStatus(); } // Returns the data type of the destination of an edge. DataType EdgeType(const Edge* edge) { return edge->dst()->input_type(edge->dst_input()); } // Adds the control inputs of `node` to `*deps`. void AddControlInputs(const Node& node, absl::flat_hash_set<Node*>* deps) { for (const Edge* edge : node.in_edges()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 15.1K bytes - Viewed (0) -
pkg/dns/proto/nds.pb.go
1, // 1: istio.networking.nds.v1.NameTable.TableEntry.value:type_name -> istio.networking.nds.v1.NameTable.NameInfo 2, // [2:2] is the sub-list for method output_type 2, // [2:2] is the sub-list for method input_type 2, // [2:2] is the sub-list for extension type_name 2, // [2:2] is the sub-list for extension extendee 0, // [0:2] is the sub-list for field type_name } func init() { file_dns_proto_nds_proto_init() }
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Fri May 31 02:27:10 UTC 2024 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/jit/build_xla_ops_pass.cc
MemoryTypeVector input_mtypes, output_mtypes; DeviceType device_type(""); TF_RETURN_IF_ERROR( DeviceNameToDeviceType(n->assigned_device_name(), &device_type)); TF_RETURN_IF_ERROR(MemoryTypesForNode(root.graph()->op_registry(), device_type, n->def(), &input_mtypes, &output_mtypes));
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/compiler/mlir/lite/tf_tfl_translate.cc
} else { // Graphdef import path. module = tensorflow::LoadFromGraphdefOrMlirSource( input_file_name, input_mlir, use_splatted_constant, custom_opdefs, specs, debug_info_file, input_arrays, input_dtypes, input_shapes, output_arrays, control_output_arrays, &source_mgr, &context); } // If errors occur, the library call in the above already logged the error // message. So we can just return here.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 14K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/quantization_patterns.cc
const bool enable_per_channel_quantized_weight) { const GemmStyleOp gemm_style_op = *entry_func_op.getOps<GemmStyleOp>().begin(); const Type input_type = entry_func_op.getArgumentTypes()[0]; const Type filter_type = entry_func_op.getArgumentTypes()[1]; const Type func_result_type = entry_func_op.getResultTypes()[0];
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 06:04:36 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/embedding_sequencing.cc
OpBuilder builder(module); std::vector<Type> input_types = GetValueTypes(inputs); std::vector<Type> output_types = GetValueTypes(outputs); builder.setInsertionPointToEnd(&module.getBodyRegion().back()); func::FuncOp func_op = builder.create<func::FuncOp>( module.getLoc(), name, builder.getFunctionType(input_types, output_types)); func_op.setPrivate(); return func_op; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 39.4K bytes - Viewed (0) -
tensorflow/compiler/jit/compilability_check_util.h
} bool OpProducesOrConsumesVariant(const Node& node) const { auto is_variant = [](DataType dtype) { return dtype == DT_VARIANT; }; return absl::c_any_of(node.input_types(), is_variant) || absl::c_any_of(node.output_types(), is_variant); } bool HasXLAKernel(const Node& node, string* uncompilable_reason = nullptr) const;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 14.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_import.cc
control_nodes.try_emplace(from); control_nodes[to].incoming.insert(from); } llvm::SmallVector<mlir::Type, 2> ret_types; llvm::SmallVector<mlir::Type, 4> input_types; auto func_loc = mlir::NameLoc::get(builder.getStringAttr(name), base_loc); std::vector<int> func_inputs = subgraph.inputs; if (is_entry_point && !ordered_input_arrays.empty()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 66.8K bytes - Viewed (0)