| /linux-6.15/Documentation/devicetree/bindings/mips/ |
| H A D | mti,mips-cm.yaml | 14 https://training.mips.com/cps_mips/PDF/CPS_Introduction.pdf
15 https://training.mips.com/cps_mips/PDF/Coherency_Manager.pdf
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| /linux-6.15/Documentation/gpu/ |
| H A D | zynqmp.rst | 78 Link training symbol pattern TPS1 (/D10.2/)
81 Link training symbol pattern TPS2
84 Link training symbol pattern TPS3 (for HBR2)
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| H A D | introduction.rst | 169 * `Understanding the Linux Graphics Stack <https://bootlin.com/doc/training/graphics/graphics-slide…
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| /linux-6.15/Documentation/networking/device_drivers/atm/ |
| H A D | cxacru.rst | 77 - "training"
117 [4942253.654954] ATM dev 0: ADSL line: training
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| /linux-6.15/drivers/accel/habanalabs/ |
| H A D | Kconfig | 18 designed to accelerate Deep Learning inference and training workloads.
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| /linux-6.15/tools/thermal/tmon/ |
| H A D | README | 30 that can be used for thermal relationship training.
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| /linux-6.15/Documentation/hwmon/ |
| H A D | peci-dimmtemp.rst | 57 completes memory training and testing.
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| /linux-6.15/drivers/memory/tegra/ |
| H A D | tegra210-emc-core.c | 561 struct tegra210_emc *emc = from_timer(emc, timer, training); in tegra210_emc_train()
574 mod_timer(&emc->training, in tegra210_emc_train()
580 mod_timer(&emc->training, in tegra210_emc_training_start()
586 timer_delete(&emc->training); in tegra210_emc_training_stop()
1964 timer_setup(&emc->training, tegra210_emc_train, 0); in tegra210_emc_probe()
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| H A D | tegra210-emc.h | 914 struct timer_list training; member
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| /linux-6.15/Documentation/devicetree/bindings/pci/ |
| H A D | pci.txt | 24 unsupported link speed, for instance, trying to do training for
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| /linux-6.15/Documentation/accel/ |
| H A D | introduction.rst | 34 a method of scaling-up/out, i.e. connecting to other training cards inside
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| /linux-6.15/Documentation/admin-guide/hw-vuln/ |
| H A D | indirect-target-selection.rst | 17 - **Intra-Mode BTI**: In-kernel training such as through cBPF or other native
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| /linux-6.15/Documentation/ABI/testing/ |
| H A D | sysfs-bus-platform-devices-ampere-smpro | 294 - 04: DDR training report status
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| /linux-6.15/Documentation/networking/ |
| H A D | devmem.rst | 22 - Distributed training, where ML accelerators, such as GPUs on different hosts,
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| H A D | ethtool-netlink.rst | 543 ``ETHTOOL_LINK_EXT_STATE_LINK_TRAINING_FAILURE`` Failure during link training
589 Link training substates:
602 after training
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| /linux-6.15/tools/memory-model/Documentation/ |
| H A D | recipes.txt | 7 takes off the training wheels to cover more involved examples,
191 Taking off the training wheels
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| /linux-6.15/Documentation/scsi/ |
| H A D | aic79xx.rst | 171 interveining training.
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| /linux-6.15/Documentation/accel/qaic/ |
| H A D | aic100.rst | 113 AIC100 is not intended for training neural networks. AIC100 can be utilized
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| /linux-6.15/arch/arm64/boot/dts/qcom/ |
| H A D | sa8775p.dtsi | 526 ddr_training_checksum: ddr-training-checksum@908c0000 {
578 ddr_training_data_mem: ddr-training-data@91b90000 {
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| /linux-6.15/Documentation/filesystems/xfs/ |
| H A D | xfs-online-fsck-design.rst | 3072 by training log recovery to recompute the summary counters from the AG headers,
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