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Results 31 - 40 of 168 for pM (0.05 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/passes/quantize_composite_functions.cc
// and therefore requires a module-level context. pm.addPass(createQuantizePass(quantize_options)); pm.addNestedPass<func::FuncOp>(createPostQuantizePass()); // Convert XlaCallModuleOps lifted but not quantized to func.call op. // The reasons these ops are not quantized may be: // 1. Disabled due to selective quantization. // 2. Not supported, e.g. add op for server. pm.addPass(createXlaCallModuleToCallPass());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 02:59:01 UTC 2024 - 4.6K bytes - Viewed (0) -
src/internal/coverage/cformat/format.go
} if _, err := fmt.Fprintf(w, "mode: %s\n", fm.cm.String()); err != nil { return err } pkgs := make([]string, 0, len(fm.pm)) for importpath := range fm.pm { pkgs = append(pkgs, importpath) } slices.Sort(pkgs) for _, importpath := range pkgs { p := fm.pm[importpath] units := make([]extcu, 0, len(p.unitTable)) for u := range p.unitTable { units = append(units, u) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:00:11 UTC 2024 - 9.7K bytes - Viewed (0) -
test/assign1.go
pi1 = pi0 // ERROR "cannot use|incompatible" pi1 = pi // ERROR "cannot use|incompatible" pm0 = pm // ERROR "cannot use|incompatible" pm0 = pm1 // ERROR "cannot use|incompatible" pm = pm0 // ERROR "cannot use|incompatible" pm = pm1 // ERROR "cannot use|incompatible" pm1 = pm0 // ERROR "cannot use|incompatible" pm1 = pm // ERROR "cannot use|incompatible" pp0 = pp // ERROR "cannot use|incompatible"
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Sun Feb 19 02:19:43 UTC 2012 - 5.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/cc/run_passes.h
mlir::MLIRContext& ctx, mlir::ModuleOp module_op) { mlir::PassManager pm{&ctx}; add_passes_func(pm); mlir::StatusScopedDiagnosticHandler diagnostic_handler{&ctx}; TF_RETURN_IF_ERROR(MaybeEnableIrPrinting(pm, name)); if (failed(pm.run(module_op))) { return absl::InternalError( absl::StrFormat("Failed to run pass: %s. %s", name,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 07 01:17:26 UTC 2024 - 3K bytes - Viewed (0) -
pkg/securitycontext/util_test.go
dPM := v1.DefaultProcMount uPM := v1.UnmaskedProcMount tests := map[string]struct { pm *v1.ProcMountType expect []string }{ "procMount nil": { pm: nil, expect: defaultMaskedPaths, }, "procMount default": { pm: &dPM, expect: defaultMaskedPaths, }, "procMount unmasked": { pm: &uPM, expect: []string{}, }, } for k, v := range tests {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue May 05 01:25:23 UTC 2020 - 5K bytes - Viewed (0) -
test/fixedbugs/issue6703x.go
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Sep 23 20:27:09 UTC 2022 - 382 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/graph_optimization_pass.cc
} VLOG(1) << "Run MLIR Graph Optimization Passes"; PassManager pm(module.getContext()); ::tensorflow::applyTensorflowAndCLOptions(pm); // Run island coarsening before shape inference to allow more exact shape // inference using constant folding within islands. pm.addNestedPass<func::FuncOp>( tf_executor::CreateTFExecutorIslandCoarseningPass()); pm.addPass(CreateTFShapeInferencePass());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 09:56:53 UTC 2024 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.h
#include "mlir/Pass/PassManager.h" // from @llvm-project namespace tensorflow { namespace quantization { // Enables IR printing for `pm`. When the passes are run, each pass will dump to // its own file with prefix `file_name_prefix`. void EnableIrPrinting(mlir::PassManager &pm, absl::string_view file_name_prefix); // If verbosity level >= 1, this will dump intermediate IRs of passes to a file.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 03:17:14 UTC 2024 - 2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/cluster_tf.cc
mlir::TF::CreateCanonicalizeCompileAndReplicateAttributesPass()); tensorflow::tf2xla::internal::AddReplicatedBridgeClusteringPipelinePasses( pm, module_name); } void CreateReplicatedClusteringPipelineV2(OpPassManager &pm) { CreateReplicatedClusteringPipeline(pm, /*module_name=*/""); } tensorflow::Status RunFunctionTf2xlaClusteringBridge( ModuleOp module, bool is_supported_by_replicated_brige,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 22:25:18 UTC 2024 - 8.7K bytes - Viewed (0) -
test/fixedbugs/issue6703z.go
// Check for cycles in the method call of a pointer value returned // from a function call. package funcptrmethcall type T int func (*T) pm() int { _ = x return 0 } func pf() *T { return nil }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Sep 23 20:27:09 UTC 2022 - 447 bytes - Viewed (0)