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Results 1 - 10 of 12 for accelerate (0.17 sec)
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tensorflow/compiler/mlir/lite/experimental/tac/tac_filter.proto
// EdgeTPU) and TFLite CPU, TAC users give a hint that they're more performant // to run on TFLite CPU. These filters give the TAC users freedom to specify the // parts that they want to use other hardware to accelerate. message TacFilters { // A list of filters/rules to specify the parts that user wants to run on // other hardware. repeated TacFilter tac_filters = 1; } // A filter can be used for an op or function.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 19 19:32:06 UTC 2023 - 1.8K bytes - Viewed (0) -
pilot/pkg/features/tuning.go
1, "Used to adjust the concurrency of SidecarScope conversions. "+ "When istiod is deployed on a multi-core CPU server, increasing this value will help to use the CPU to "+ "accelerate configuration push, but it also means that istiod will consume more CPU resources.", ).Get() MutexProfileFraction = env.Register("MUTEX_PROFILE_FRACTION", 1000,
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Wed Mar 06 04:22:19 UTC 2024 - 4.8K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/authoring-builds/structuring/multi_project_configuration_and_execution.adoc
[[sec:parallel_execution]] == Parallel projects Gradle's parallel execution feature optimizes CPU utilization to accelerate builds by concurrently executing tasks from different projects.
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed Feb 07 21:08:57 UTC 2024 - 4.6K bytes - Viewed (0) -
cmd/dummy-handlers.go
writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL) return } writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrNoSuchWebsiteConfiguration), r.URL) } // GetBucketAccelerate - GET bucket accelerate, a dummy api func (api objectAPIHandlers) GetBucketAccelerateHandler(w http.ResponseWriter, r *http.Request) { ctx := newContext(r, w, "GetBucketAccelerate") defer logger.AuditLog(ctx, w, r, mustGetClaimsFromToken(r))
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Fri May 24 23:05:23 UTC 2024 - 7.1K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/optimizing-performance/build-cache/build_cache_use_cases.adoc
It allows you to easily find out which build produced an artifact coming from the build cache via build scans. [.screenshot] image::build-cache/from-cache-origin.png[] == Accelerate developer builds by reusing CI results
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Nov 27 17:53:42 UTC 2023 - 6K bytes - Viewed (0) -
src/crypto/aes/cipher_generic.go
//go:build (!amd64 && !s390x && !ppc64 && !ppc64le && !arm64) || purego package aes import ( "crypto/cipher" ) // newCipher calls the newCipherGeneric function // directly. Platforms with hardware accelerated // implementations of AES should implement their // own version of newCipher (which may then call // newCipherGeneric if needed). func newCipher(key []byte) (cipher.Block, error) { return newCipherGeneric(key) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 04 17:29:44 UTC 2024 - 772 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/sparsecore_passes.h
#include "mlir/IR/BuiltinOps.h" // from @llvm-project #include "mlir/Pass/Pass.h" // from @llvm-project namespace mlir { namespace TFDevice { // For architectures that support accelerated embedding lookups, this pass will // rewrite the graph to use pipelining for better device utilization. std::unique_ptr<OperationPass<ModuleOp>> CreateEmbeddingSequencingPass();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 23:42:09 UTC 2024 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/jit/pjrt_device_context.h
#include "tensorflow/core/framework/device_base.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Helper class for managing data transfers between host and accelerator // devices using PjRt. class PjRtDeviceContext : public DeviceContext { public: explicit PjRtDeviceContext( XlaShapeLayoutHelpers::ShapeDeterminationFns shape_determination_fns,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jul 19 19:27:39 UTC 2023 - 2.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/sparsecore_passes.td
let summary = "Rewrite graph for embedding pipelining"; let constructor = "TFDevice::CreateEmbeddingPipeliningPass()"; let description = [{ For architectures that support accelerated embedding lookups, this pass will rewrite the graph to use pipelining for better device utilization. }]; } def EmbeddingSequencingPass : Pass<"tf-embedding-sequencing", "mlir::ModuleOp"> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 23:42:09 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/jit/pjrt_base_device.h
#include "tensorflow/core/common_runtime/local_device.h" #include "tensorflow/core/framework/device_base.h" namespace tensorflow { // tensorflow::PjRtBaseDevice replaces the deprecated tensorflow::XlaDevice. // This accelerator agnostic device is mainly used to store metadata. class PjRtBaseDevice : public LocalDevice { public: // Stores metadata about the PjRtBaseDevice. class Metadata { public:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 4K bytes - Viewed (0)