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tensorflow/compiler/mlir/lite/experimental/tac/hardwares/target_hardware.cc
auto* registered_hardwares = GetRegisteredHardwares(); for (auto& hardware : *registered_hardwares) { if (hardware.unique_name == unique_name) { llvm::errs() << "Ignoring duplicate hardware. Hardware " << unique_name << " already registered\n"; hardware.target_hardware_factory = target_hardware_factory; return; } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 09 21:39:59 UTC 2023 - 9.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/README.md
``` The devices_specs is a list of the names of the desired hardware backends, separated by comma, e.g., "GPU,CPU". If you're interested in what are the subgraphs being explored for different backends, you can pass in `-output-mlir -inline-subgraphs=false` and check out the output mlir file. ## How to add a hardware backend If you want to add a hardware backend for TAC, you can start with the `SimpleHardware` interface.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 29 18:32:13 UTC 2022 - 11.6K bytes - Viewed (0) -
src/vendor/golang.org/x/sys/cpu/cpu.go
HasASIMD bool // Advanced SIMD (always available) HasEVTSTRM bool // Event stream support HasAES bool // AES hardware implementation HasPMULL bool // Polynomial multiplication instruction set HasSHA1 bool // SHA1 hardware implementation HasSHA2 bool // SHA2 hardware implementation HasCRC32 bool // CRC32 hardware implementation HasATOMICS bool // Atomic memory operation instruction set
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 08 16:12:58 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/get_alternative_subgraph.cc
!IsSupported(op, device_inference_type.hardware)) { found_unsupported = true; } }); return !found_unsupported; } void AlternativeSubgraphPass::Optimize(func::FuncOp func, const std::string& hardware) { auto* ctx = &getContext(); RewritePatternSet patterns = GetHardwareRewritePatterns(ctx, hardware);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 06 03:08:33 UTC 2023 - 12.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/pick_subgraphs.cc
// 2) Pick subgraphs // 2.1) Populate the "dp table" for (subgraph, hardware). // 2.2) Make decisions based on the populated dp table. // 2.3) Rewire the whole graph based on the desicions. // namespace mlir { namespace TFL { namespace tac { namespace { // GrapView is used to hold the aggregated cost for the given hardware // view. struct GraphView { float total_cost;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 24 15:10:02 UTC 2022 - 19.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/raise_target_subgraphs.cc
return std::string(""); } std::string concat_inference_device_type_string = ignore_inference_type_ ? device_type.value().hardware : absl::StrCat( device_type.value().hardware, "_", GetInferenceString(device_type.value().inference_type)); return concat_inference_device_type_string; };
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.4K bytes - Viewed (0) -
doc/asm.html
The actual name is semantically irrelevant but should be used to document the argument's name. It is worth stressing that <code>FP</code> is always a pseudo-register, not a hardware register, even on architectures with a hardware frame pointer. </p> <p> For assembly functions with Go prototypes, <code>go</code> <code>vet</code> will check that the argument names and offsets match.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Nov 28 19:15:27 UTC 2023 - 36.3K bytes - Viewed (1) -
src/crypto/tls/cipher_suites.go
// // When AES hardware is available, AES-128-GCM and AES-256-GCM are faster // than ChaCha20Poly1305. // // When AES hardware is not available, AES-128-GCM is one or more of: much // slower, way more complex, and less safe (because not constant time) // than ChaCha20Poly1305. // // We use this list if we think both peers have AES hardware, and
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 29 17:58:53 UTC 2024 - 25.5K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/config.go
FPReg int8 // register number of frame pointer, -1 if not used LinkReg int8 // register number of link register if it is a general purpose register, -1 if not used hasGReg bool // has hardware g register ctxt *obj.Link // Generic arch information optimize bool // Do optimization noDuffDevice bool // Don't use Duff's device
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 02 16:11:47 UTC 2024 - 12.9K bytes - Viewed (0) -
.github/workflows/build.yml
uses: actions/setup-java@v4 with: distribution: 'zulu' java-version: 17 - name: Enable KVM group perms # https://github.blog/changelog/2023-02-23-hardware-accelerated-android-virtualization-on-actions-windows-and-linux-larger-hosted-runners/ run: | echo 'KERNEL=="kvm", GROUP="kvm", MODE="0666", OPTIONS+="static_node=kvm"' | sudo tee /etc/udev/rules.d/99-kvm4all.rules
Registered: Sun Jun 16 04:42:17 UTC 2024 - Last Modified: Mon Apr 15 01:51:50 UTC 2024 - 17.2K bytes - Viewed (0)