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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) -
src/internal/sysinfo/sysinfo.go
// Copyright 2020 The Go Authors. All rights reserved. // Use of this source code is governed by a BSD-style // license that can be found in the LICENSE file. // Package sysinfo implements high level hardware information gathering // that can be used for debugging or information purposes. package sysinfo import ( "internal/cpu" "sync" ) var CPUName = sync.OnceValue(func() string { if name := cpu.Name(); name != "" { return name
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue May 07 18:42:42 UTC 2024 - 518 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/execution_metadata_exporter_test.cc
expected_subgraph_metadata->op_metadata()->GetAs<OpMetadata>(j); EXPECT_EQ(result_op_metadata->index(), expected_op_metadata->index()); EXPECT_EQ(result_op_metadata->hardware(), expected_op_metadata->hardware()); EXPECT_EQ(result_op_metadata->op_costs()->size(), expected_op_metadata->op_costs()->size()); for (int i = 0; i < result_op_metadata->op_costs()->size(); ++i) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 06:11:34 UTC 2024 - 6K bytes - Viewed (0) -
src/runtime/os_linux_ppc64x.go
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 28 18:17:57 UTC 2021 - 526 bytes - Viewed (0) -
src/internal/runtime/atomic/sys_linux_arm.s
// // https://git.kernel.org/?p=linux/kernel/git/torvalds/linux-2.6.git;a=commit;h=b49c0f24cf6744a3f4fd09289fe7cade349dead5 // TEXT cas<>(SB),NOSPLIT,$0 MOVW $0xffff0fc0, R15 // R15 is hardware PC. TEXT ·Cas(SB),NOSPLIT|NOFRAME,$0 MOVB runtime·goarm(SB), R11 CMP $7, R11 BLT 2(PC) JMP ·armcas(SB) JMP kernelcas<>(SB) TEXT kernelcas<>(SB),NOSPLIT,$0 MOVW ptr+0(FP), R2
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 25 19:53:03 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/hardwares/gpu_hardware.h
#define TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_HARDWARES_GPU_HARDWARE_H_ #include "tensorflow/compiler/mlir/lite/experimental/tac/hardwares/target_hardware.h" #include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h" namespace mlir { namespace TFL { namespace tac { // Gpu hardware class which handles GPU capabilities in TFLite. // This is used by TAC to get op supported/ op cost estimates on GPU.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 27 15:05:02 UTC 2022 - 1.7K bytes - Viewed (0)