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Results 1 - 2 of 2 for gpu_device_metadata (0.36 sec)
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tensorflow/compiler/mlir/tensorflow/utils/device_util.cc
static auto* r = new llvm::Regex("compute capability: ([0-9]+)\\.([0-9]+)"); llvm::SmallVector<llvm::StringRef, 3> cc; if (r->match(device.attributes().physical_device_desc(), &cc)) { return mlir::TF::GpuDeviceMetadata::get( builder->getContext(), std::stoi(cc[1].str()), std::stoi(cc[2].str())); } return builder->getUnitAttr(); } // Get devices from an array of string attributes.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/device_util_test.cc
ASSERT_NE(device_meta_0, nullptr); // GPU device successfully parsed compute capability from description. auto device_meta_1 = mlir::dyn_cast<mlir::TF::GpuDeviceMetadata>(devices_attr.get(gpu0)); ASSERT_NE(device_meta_1, nullptr); ASSERT_EQ(device_meta_1.getCcMajor(), 7); ASSERT_EQ(device_meta_1.getCcMinor(), 0);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.5K bytes - Viewed (0)