History log of /openbmc/linux/scripts/dtc/include-prefixes/arm64/nvidia/tegra234-p3767.dtsi (Results 1 – 5 of 5)
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Revision tags: v6.6.25, v6.6.24, v6.6.23, v6.6.16, v6.6.15, v6.6.14, v6.6.13, v6.6.12, v6.6.11, v6.6.10, v6.6.9, v6.6.8, v6.6.7, v6.6.6, v6.6.5, v6.6.4, v6.6.3, v6.6.2, v6.5.11, v6.6.1, v6.5.10, v6.6, v6.5.9, v6.5.8, v6.5.7, v6.5.6, v6.5.5, v6.5.4, v6.5.3, v6.5.2, v6.1.51, v6.5.1, v6.1.50, v6.5, v6.1.49, v6.1.48, v6.1.46, v6.1.45, v6.1.44, v6.1.43, v6.1.42, v6.1.41, v6.1.40, v6.1.39, v6.1.38, v6.1.37, v6.1.36
# 78d42ed5 26-Jun-2023 Brad Griffis <bgriffis@nvidia.com>

arm64: tegra: Fix P3767 QSPI speed

[ Upstream commit 57ea99ba176913c325fc8324a24a1b5e8a6cf520 ]

The QSPI device used on Jetson Orin NX and Nano modules (p3767) is
the same as Jetson AGX Orin (p3701

arm64: tegra: Fix P3767 QSPI speed

[ Upstream commit 57ea99ba176913c325fc8324a24a1b5e8a6cf520 ]

The QSPI device used on Jetson Orin NX and Nano modules (p3767) is
the same as Jetson AGX Orin (p3701) and should have a maximum speed of
102 MHz.

Fixes: 13b0aca303e9 ("arm64: tegra: Support Jetson Orin NX")
Signed-off-by: Brad Griffis <bgriffis@nvidia.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
Signed-off-by: Sasha Levin <sashal@kernel.org>

show more ...


# 18afb028 26-Jun-2023 Brad Griffis <bgriffis@nvidia.com>

arm64: tegra: Fix P3767 card detect polarity

[ Upstream commit c6b7a1d11d0fa6333078141251908f48042016e1 ]

The SD card detect pin is active-low on all Orin Nano and NX SKUs that
have an SD card slot

arm64: tegra: Fix P3767 card detect polarity

[ Upstream commit c6b7a1d11d0fa6333078141251908f48042016e1 ]

The SD card detect pin is active-low on all Orin Nano and NX SKUs that
have an SD card slot.

Fixes: 13b0aca303e9 ("arm64: tegra: Support Jetson Orin NX")
Signed-off-by: Brad Griffis <bgriffis@nvidia.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
Signed-off-by: Sasha Levin <sashal@kernel.org>

show more ...


# 9304f699 17-Jul-2023 Thierry Reding <treding@nvidia.com>

arm64: tegra: Add 35°C trip point for Jetson Orin NX/Nano

It turns out that these devices can get quite hot to the touch with the
standard cooling configuration, so add another trip point at 35°C al

arm64: tegra: Add 35°C trip point for Jetson Orin NX/Nano

It turns out that these devices can get quite hot to the touch with the
standard cooling configuration, so add another trip point at 35°C along
with a cooling map to help keep the system reasonably cool at very low
system load.

Reviewed-by: Yi-Wei Wang <yiweiw@nvidia.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>

show more ...


Revision tags: v6.4, v6.1.35, v6.1.34
# a6fb90f0 09-Jun-2023 Thierry Reding <treding@nvidia.com>

arm64: tegra: Enable thermal support on Jetson Orin NX

Enable the TJ thermal zone and hook up cooling maps for the PWM-
controlled fan and two trip points.

This also removes a duplicate definition

arm64: tegra: Enable thermal support on Jetson Orin NX

Enable the TJ thermal zone and hook up cooling maps for the PWM-
controlled fan and two trip points.

This also removes a duplicate definition of the PWM fan and changes its
cooling levels. This should have no effect, though, because the fan
wasn't previously connected to anything and by default would be turned
off at probe time.

Acked-by: Jon Hunter <jonathanh@nvidia.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>

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Revision tags: v6.1.33, v6.1.32, v6.1.31, v6.1.30, v6.1.29, v6.1.28, v6.1.27, v6.1.26, v6.3, v6.1.25, v6.1.24, v6.1.23
# 13b0aca3 31-Mar-2023 Thierry Reding <treding@nvidia.com>

arm64: tegra: Support Jetson Orin NX

This adds a device tree for the Jetson Orin NX module, which is Jetson
AGX Orin's little sibling with 6 or 8 ARM Cortex-A78AE cores, an Ampere
GPU (1024 GPU and

arm64: tegra: Support Jetson Orin NX

This adds a device tree for the Jetson Orin NX module, which is Jetson
AGX Orin's little sibling with 6 or 8 ARM Cortex-A78AE cores, an Ampere
GPU (1024 GPU and 32 tensor cores) and a number of accelerators for
machine learning, image processing and more.

The Jetson Orin NX comes with either 8 or 16 GiB of 128-bit LPDDR5 and
supports NVME for mass storage.

Signed-off-by: Thierry Reding <treding@nvidia.com>

show more ...