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Results 11 - 20 of 82 for hardware (0.15 sec)
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src/runtime/os_linux_s390x.go
func checkS390xCPU() { // Check if the present z-system has the hardware capability to carryout // floating point operations. Check if hwcap reflects CPU capability for the // necessary floating point hardware (HasVX) availability. // Starting with Go1.19, z13 is the minimum machine level for running Go on LoZ if cpu.HWCap&_HWCAP_VX == 0 { print("runtime: This CPU has no floating point hardware, so this program cannot be run. \n") exit(1) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Aug 01 17:36:28 UTC 2023 - 825 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tac_module.cc
// large functions (and maybe other metadata as well). } const tac::TargetHardware* TacModule::GetTargetHardware( const std::string& hardware_name) const { for (auto& hardware : backends_) { if (GetHardwareName(hardware.get()) == hardware_name) return hardware.get(); } return nullptr; } absl::Status TacModule::RunTacPasses(mlir::ModuleOp* module, bool debug_mode) { mlir::PassManager pm((*module)->getName(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 08 01:19:25 UTC 2023 - 5.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform.cc
const std::string& hardware) { auto* devce_hardware = GetTargetHardware(hardware); if (devce_hardware == nullptr) return {context}; return devce_hardware->GetTransformations(context); } bool IsSupported(Operation* op, const std::string& hardware) { auto* devce_hardware = GetTargetHardware(hardware); if (devce_hardware == nullptr) return {};
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.4K bytes - Viewed (0) -
samples/guide/src/main/java/okhttp3/recipes/kt/YubikeyClientAuth.kt
import okhttp3.internal.SuppressSignatureCheck import okhttp3.internal.platform.Platform /** * Example of using a hardware key to perform client auth. * Prefer recent JDK builds, and results are temperamental to slight environment changes. * Different instructions and configuration may be required for other hardware devices. * * Using a yubikey device as a SSL key store. * https://lauri.võsandi.com/2017/03/yubikey-for-ssh-auth.html *
Registered: Sun Jun 16 04:42:17 UTC 2024 - Last Modified: Mon Jan 08 01:13:22 UTC 2024 - 4.2K bytes - Viewed (0) -
src/runtime/os_freebsd_arm.go
print("runtime: this CPU has no floating point hardware, so it cannot run\n") print("a binary compiled for hard floating point. Recompile adding ,softfloat\n") print("to GOARM.\n") exit(1) } if goarm > 6 && cpu.HWCap&_HWCAP_VFPv3 == 0 && goarmsoftfp == 0 { print("runtime: this CPU has no VFPv3 floating point hardware, so it cannot run\n")
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Dec 05 20:34:30 UTC 2023 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/hardwares/cpu_hardware.cc
return kQuantizedInferenceEfficiency; } return 1.0; } // CPU hardware class which handles CPU capabilities in TFLite. // This is used by TAC to get op supported/ op cost estimates on CPU. class CpuHardware : public TargetHardware { public: MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(CpuHardware) // String Identifier for CPU hardware. static constexpr char kId[] = "CPU";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 06 03:08:33 UTC 2023 - 5.9K bytes - Viewed (0) -
src/math/bits.go
// IsNaN reports whether f is an IEEE 754 “not-a-number” value. func IsNaN(f float64) (is bool) { // IEEE 754 says that only NaNs satisfy f != f. // To avoid the floating-point hardware, could use: // x := Float64bits(f); // return uint32(x>>shift)&mask == mask && x != uvinf && x != uvneginf return f != f } // IsInf reports whether f is an infinity, according to sign.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 05 17:52:29 UTC 2022 - 1.9K bytes - Viewed (0) -
.github/bot_config.yml
* Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup). * If error still persists then, apparently your CPU model does not support AVX instruction sets. * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements). ----------------------------------------------------------------------------------------------- **2. Installing **TensorFlow** (TF) CPU prebuilt binaries**
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jun 03 04:55:57 UTC 2024 - 4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/examples/BUILD
], alwayslink = 1, ) tf_cc_binary( name = "example-hardware-translate", deps = [ ":example_hardware", "//tensorflow/compiler/mlir/lite/experimental/tac:tac-translate-lib", "//tensorflow/compiler/mlir/lite/experimental/tac/hardwares:all-target-hardwares", ],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 27 18:00:18 UTC 2024 - 977 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/hardwares/nnapi_hardware.h
==============================================================================*/ /* NNAPI Hardware Implementation */ #ifndef TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_HARDWARES_NNAPI_HARDWARE_H_ #define TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_HARDWARES_NNAPI_HARDWARE_H_ #include "tensorflow/compiler/mlir/lite/experimental/tac/hardwares/simple_hardware.h" namespace mlir { namespace TFL { namespace tac {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 27 15:05:02 UTC 2022 - 1.5K bytes - Viewed (0)