Xavier AGX doesn't see NVMe drive

Hello,
I installed a NVMe M.2 drive and it doesn’t get discovered by the OS. If I use a PCIe to M2 card, with an M.2 NVMe drive installed, the OS sees it fine.

What can I do to troubleshoot this?
Thanks,
John

Hi,

Please connect your card back to m.2 slot and share the dmesg.

Also, tell us what card you are using. Thanks.

lspci_xavier.txt (1.7 KB) dmesg_xavier.txt (81.0 KB)

Hello,

I moved the card from the PCIe slot into the internal M.2 slot and don’t have the PCIe card installed. I am attaching the lspci -vvv output as well as the dmesg.

Thanks,
John

Bump - is there anything else you need?

Can you give info about the jetpack release (4.3 / 4.4 ??) and BSP versions (32.x.x ??)
Also, when it does come up through the PCIe to M.2 card, could you please share the dmesg log and ‘sudo lspci -vv’ output?

Hello, the Xavier is on jetpack 4.4. I am not sure how to get the BSP version so I included a listing of all nvidia packages below. I guess I am on BSP32.4.4.

root@dev-xavier-01:/data/stargate/data_service_cupy# dpkg -l |grep -i nvidia
ii cuda-nvtx-10-2 10.2.89-1 arm64 NVIDIA Tools Extension
ii libnvidia-container-tools 0.9.0~beta.1 arm64 NVIDIA container runtime library (command-line tools)
ii libnvidia-container0:arm64 0.9.0~beta.1 arm64 NVIDIA container runtime library
ii libvisionworks 1.6.0.501 arm64 NVIDIA’s VisionWorks Library and supplemental data
ii libvisionworks-dev 1.6.0.501 all Development files for NVIDIA’s VisionWorks Library
ii libvisionworks-samples 1.6.0.501 arm64 Samples for NVIDIA’s VisionWorks Library
ii libvisionworks-sfm 0.90.4.501 arm64 SFM module for NVIDIA’s VisionWorks Library
ii libvisionworks-sfm-dev 0.90.4.501 arm64 Development files for SFM module for NVIDIA’s VisionWorks Library
ii libvisionworks-tracking 0.88.2.501 arm64 Tracking module for NVIDIA’s VisionWorks Library
ii libvisionworks-tracking-dev 0.88.2.501 arm64 Development files for Tracking module for NVIDIA’s VisionWorks Library
ii nvidia-container-csv-cuda 10.2.89-1 arm64 Jetpack CUDA CSV file
ii nvidia-container-csv-cudnn 8.0.0.180-1+cuda10.2 arm64 Jetpack CUDNN CSV file
ii nvidia-container-csv-tensorrt 7.1.3.0-1+cuda10.2 arm64 Jetpack TensorRT CSV file
ii nvidia-container-csv-visionworks 1.6.0.501 arm64 Jetpack VisionWorks CSV file
ii nvidia-container-runtime 3.1.0-1 arm64 NVIDIA container runtime
ii nvidia-container-toolkit 1.0.1-1 arm64 NVIDIA container runtime hook
ii nvidia-docker2 2.2.0-1 all nvidia-docker CLI wrapper
iU nvidia-l4t-3d-core 32.4.4-20201027211332 arm64 NVIDIA GL EGL Package
ii nvidia-l4t-apt-source 32.4.4-20201016123640 arm64 NVIDIA L4T apt source list debian package
iU nvidia-l4t-bootloader 32.4.4-20201027211332 arm64 NVIDIA Bootloader Package
iU nvidia-l4t-camera 32.4.4-20201027211332 arm64 NVIDIA Camera Package
ii nvidia-l4t-configs 32.4.4-20201016123640 arm64 NVIDIA configs debian package
ii nvidia-l4t-core 32.4.4-20201016123640 arm64 NVIDIA Core Package
iU nvidia-l4t-cuda 32.4.4-20201027211332 arm64 NVIDIA CUDA Package
iU nvidia-l4t-firmware 32.4.4-20201027211332 arm64 NVIDIA Firmware Package
iU nvidia-l4t-graphics-demos 32.4.4-20201027211332 arm64 NVIDIA graphics demo applications
ii nvidia-l4t-gstreamer 32.4.4-20201016123640 arm64 NVIDIA GST Application files
ii nvidia-l4t-init 32.4.4-20201016123640 arm64 NVIDIA Init debian package
ii nvidia-l4t-initrd 32.4.4-20201016123640 arm64 NVIDIA initrd debian package
ii nvidia-l4t-jetson-io 32.4.4-20201016123640 arm64 NVIDIA Jetson.IO debian package
iU nvidia-l4t-jetson-multimedia-api 32.4.4-20201027211332 arm64 NVIDIA Jetson Multimedia API is a collection of lower-level APIs that support flexible application development.
iU nvidia-l4t-kernel 4.9.140-tegra-32.4.4-20201027211332 arm64 NVIDIA Kernel Package
iU nvidia-l4t-kernel-dtbs 4.9.140-tegra-32.4.4-20201027211332 arm64 NVIDIA Kernel DTB Package
iU nvidia-l4t-kernel-headers 4.9.140-tegra-32.4.4-20201027211332 arm64 NVIDIA Linux Tegra Kernel Headers Package
iU nvidia-l4t-multimedia 32.4.4-20201027211332 arm64 NVIDIA Multimedia Package
iU nvidia-l4t-multimedia-utils 32.4.4-20201027211332 arm64 NVIDIA Multimedia Package
ii nvidia-l4t-oem-config 32.4.4-20201016123640 arm64 NVIDIA OEM-Config Package
iU nvidia-l4t-tools 32.4.4-20201027211332 arm64 NVIDIA Public Test Tools Package
iU nvidia-l4t-wayland 32.4.4-20201027211332 arm64 NVIDIA Wayland Package
iU nvidia-l4t-weston 32.4.4-20201027211332 arm64 NVIDIA Weston Package
iU nvidia-l4t-x11 32.4.4-20201027211332 arm64 NVIDIA X11 Package
ii nvidia-l4t-xusb-firmware 32.4.4-20201016123640 arm64 NVIDIA USB Firmware Package

The LSPCI and dmesg outputs are attached 3 messages up.

Thanks,
John

Yes. It is 32.4.4
I was asking for the dmesg and ‘sudo lspci -vv’ when the link comes up. I think the attached logs are when the link didn’t come up.

OK. I will add the PCIe card back on and move the M2 card to it.

Thanks,
John

Here are the new lspci and dmesg outputs

Thanks,
John
lspci_with_pcie.txt (15.8 KB) dmesg_with_pcie.txt (106.4 KB)

bump - any ideas?

I’m not really sure what the issue is here. Logs are not indicating anything at this point. Could you please try the following patch? I added delays in all crucial places. Please try the below patch and update your observations.

diff --git a/drivers/pci/dwc/pcie-tegra.c b/drivers/pci/dwc/pcie-tegra.c
index 6f3919f85..6b6c3c82e 100644
--- a/drivers/pci/dwc/pcie-tegra.c
+++ b/drivers/pci/dwc/pcie-tegra.c
@@ -2652,7 +2652,7 @@ static int tegra_pcie_dw_host_init(struct pcie_port *pp)
        struct dw_pcie *pci = to_dw_pcie_from_pp(pp);
        struct tegra_pcie_dw *pcie = dw_pcie_to_tegra_pcie(pci);
        u32 val, tmp;
-       int count = 200;
+       int count = 1000;

        if (tegra_platform_is_fpga()) {
                /* Program correct VID and DID on FPGA */
@@ -2839,6 +2839,9 @@ static int tegra_pcie_dw_host_init(struct pcie_port *pp)

        clk_set_rate(pcie->core_clk, GEN4_CORE_CLK_FREQ);

+       pr_info("Adding 500ms delay before applying PERST\n");
+       msleep(500);
+
        /* assert RST */
        val = readl(pcie->appl_base + APPL_PINMUX);
        val &= ~APPL_PINMUX_PEX_RST;
@@ -2856,7 +2859,7 @@ static int tegra_pcie_dw_host_init(struct pcie_port *pp)
        val |= APPL_PINMUX_PEX_RST;
        writel(val, pcie->appl_base + APPL_PINMUX);

-       msleep(100);
+       msleep(500);

        val = readl(pci->dbi_base + CFG_LINK_STATUS_CONTROL);
        while (!(val & CFG_LINK_STATUS_DLL_ACTIVE)) {

Hello, I have spent some time on this and have not managed to compile the kernel. Does nVidia have instructions on cross compiling the kernel?

Thanks
John

Please refer to the page

Thanks. I hadn’t seen that page yet. I will give it a go.