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tensorflow/compiler/mlir/tf2xla/transforms/legalization_op_config_test.cc
} return main; } protected: MLIRContext context_; OwningOpRef<ModuleOp> module_; }; TEST_F(LegalizationOpConfigTest, FailsWithExpectsLegalizationWithMlir) { TF_EXPECT_OK(CreateMlirModule()); EXPECT_FALSE(IsOpLegalizedWithMlir(*module_->getOperation())); } TEST_F(LegalizationOpConfigTest, ExpectsFalseForNonMlirOps) { TF_EXPECT_OK(CreateMlirModule()); TF_ASSERT_OK_AND_ASSIGN(FuncOp main, GetMain());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 30 03:31:01 UTC 2024 - 8.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/verify_tfxla_legalization_test.cc
std::unique_ptr<mlir::PassManager> pm_; }; TEST_F(VerifyTfxlaLegalizationTest, RecordsStreamzFailedVerification) { // Using a string constant here instead of testdata to make this compatible // with open source. static constexpr char kMlirModuleStr[] = R"( module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} { func.func @main() -> tensor<1xi32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 7.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/c/c_api_unified_experimental_mlir.cc
class MlirFunction : public AbstractFunction { public: explicit MlirFunction(std::unique_ptr<MLIRContext> context, OwningOpRef<mlir::ModuleOp> module, func::FuncOp func) : AbstractFunction(kMlir), context_(std::move(context)), module_(std::move(module)), func_(func) {} Status GetFunctionDef(const tensorflow::FunctionDef** f) override;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 28.2K bytes - Viewed (0) -
platforms/software/dependency-management/src/integTest/groovy/org/gradle/integtests/resolve/ivy/IvyDescriptorResolveIntegrationTest.groovy
given: final parentModule = ivyHttpRepo.module("org.gradle.parent", "parent_module", "1.1").dependsOn("org.gradle.dep", "dep_module", "1.1").publish() final depModule = ivyHttpRepo.module("org.gradle.dep", "dep_module", "1.1").publish() final dep = ivyHttpRepo.module("org.gradle", "test", "1.45") final extendAttributes = [organisation: "org.gradle.parent", module: "parent_module", revision: "1.1"]
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Oct 10 21:10:11 UTC 2023 - 5.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantize_composite_functions.cc
public: explicit QuantizationSummary(ModuleOp module) : module_(module), symbol_table_(module) {} void Print() { llvm::StringMap<OpCountItem> func_count_map; int32_t total_quantized_func_count = 0, float_output_func_count = 0, quantize_func_count = 0, dequantize_func_count = 0, weight_only_count = 0; module_.walk([&](Operation* op) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 54.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/import_model.cc
const GraphImportConfig& specs, mlir::ModuleOp module, std::unordered_map<std::string, std::string>* tf_name_to_mlir_name, NameUniquifier* function_name_uniquifier, llvm::StringRef function_name_for_debug_info = "") : builder_(module.getContext()), module_(module), context_(module.getContext()), tf_name_to_mlir_name_(tf_name_to_mlir_name),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 183.2K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/jvm/java_library_plugin.adoc
Such modules, that only have a name as module description, are called _automatic module_ that export **all** their packages and can read **all** modules on the module path. A third case are traditional libraries that provide no module information at all -- for example `commons-cli:commons-cli:1.4`. Gradle puts such libraries on the classpath instead of the module path. The classpath is then treated as one module (the so called _unnamed_ module) by Java.
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed Mar 13 19:52:38 UTC 2024 - 23.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
explicit Translator(ModuleOp module, const toco::TocoFlags& toco_flags, const std::unordered_set<std::string>& saved_model_tags, OpOrArgNameMapper* op_or_arg_name_mapper, const std::map<std::string, std::string>& metadata, std::optional<size_t> custom_option_alignment) : module_(module), name_mapper_(*op_or_arg_name_mapper),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/dep-man/02-declaring-dependency-versions/dynamic_versions.adoc
Alternatively, the module you request can change over time even for the same version, a so-called <<dynamic_versions.adoc#sub:declaring_dependency_with_changing_version,changing version>>. An example of this type of _changing module_ is a Maven `SNAPSHOT` module, which always points at the latest artifact published. In other words, a standard Maven snapshot is a module that is continually evolving, it is a "changing module".
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed Nov 29 17:38:38 UTC 2023 - 13.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/tpu_rewrite_pass.cc
ModuleOp module = entry_func->getParentOfType<ModuleOp>(); SymbolTable entry_module_table(module); llvm::SmallVector<func::FuncOp, 4> referenced({entry_func}); // Create a new module to hold func and all referenced functions. OwningOpRef<mlir::ModuleOp> module_for_func = ModuleOp::create(mlir::UnknownLoc::get(entry_func.getContext()),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 21:25:12 UTC 2024 - 29.7K bytes - Viewed (0)