docs: fix broken .md links and render issues (#13550)

On Linux, look at the GTT memory information for iGPUs.

docs/faq.mdx

@@ -14,11 +14,11 @@ curl -fsSL https://ollama.com/install.sh | sh
 
 ## How can I view the logs?
 
-Review the [Troubleshooting](./troubleshooting.md) docs for more about using logs.
+Review the [Troubleshooting](./troubleshooting) docs for more about using logs.
 
 ## Is my GPU compatible with Ollama?
 
-Please refer to the [GPU docs](./gpu.md).
+Please refer to the [GPU docs](./gpu).
 
 ## How can I specify the context window size?
 

docs/gpu.mdx

@@ -33,7 +33,7 @@ Check your compute compatibility to see if your card is supported:
 | 5.0                | GeForce GTX         | `GTX 750 Ti` `GTX 750` `NVS 810`                                                                                               |
 |                    | Quadro              | `K2200` `K1200` `K620` `M1200` `M520` `M5000M` `M4000M` `M3000M` `M2000M` `M1000M` `K620M` `M600M` `M500M`                     |
 
-For building locally to support older GPUs, see [developer.md](./development.md#linux-cuda-nvidia)
+For building locally to support older GPUs, see [developer](./development#linux-cuda-nvidia)
 
 ### GPU Selection
 
@@ -54,7 +54,7 @@ sudo modprobe nvidia_uvm`
 
 Ollama supports the following AMD GPUs via the ROCm library:
 
-> [!NOTE]
+> **NOTE:**
 > Additional AMD GPU support is provided by the Vulkan Library - see below.
 
 
@@ -132,9 +132,9 @@ Ollama supports GPU acceleration on Apple devices via the Metal API.
 
 ## Vulkan GPU Support
 
-> [!NOTE]
+> **NOTE:**
 > Vulkan is currently an Experimental feature.  To enable, you must set OLLAMA_VULKAN=1 for the Ollama server as
-described in the [FAQ](faq.md#how-do-i-configure-ollama-server)
+described in the [FAQ](faq#how-do-i-configure-ollama-server)
 
 Additional GPU support on Windows and Linux is provided via
 [Vulkan](https://www.vulkan.org/). On Windows most GPU vendors drivers come
@@ -161,6 +161,6 @@ sudo setcap cap_perfmon+ep /usr/local/bin/ollama
 
 To select specific Vulkan GPU(s), you can set the environment variable
 `GGML_VK_VISIBLE_DEVICES` to one or more numeric IDs on the Ollama server as
-described in the [FAQ](faq.md#how-do-i-configure-ollama-server). If you
+described in the [FAQ](faq#how-do-i-configure-ollama-server). If you
 encounter any problems with Vulkan based GPUs, you can disable all Vulkan GPUs
 by setting `GGML_VK_VISIBLE_DEVICES=-1` 

docs/troubleshooting.mdx

@@ -87,7 +87,7 @@ When Ollama starts up, it takes inventory of the GPUs present in the system to d
 
 ### Linux NVIDIA Troubleshooting
 
-If you are using a container to run Ollama, make sure you've set up the container runtime first as described in [docker.md](./docker.md)
+If you are using a container to run Ollama, make sure you've set up the container runtime first as described in [docker](./docker)
 
 Sometimes the Ollama can have difficulties initializing the GPU. When you check the server logs, this can show up as various error codes, such as "3" (not initialized), "46" (device unavailable), "100" (no device), "999" (unknown), or others. The following troubleshooting techniques may help resolve the problem
 

llama/patches/0024-GPU-discovery-enhancements.patch

@@ -20,10 +20,10 @@ fix vulkan PCI ID and ID handling
  ggml/src/ggml-cuda/vendors/hip.h     |   3 +
  ggml/src/ggml-impl.h                 |   8 +
  ggml/src/ggml-metal/ggml-metal.cpp   |   2 +
- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 169 ++++++++-
- ggml/src/mem_hip.cpp                 | 529 +++++++++++++++++++++++++++
- ggml/src/mem_nvml.cpp                | 209 +++++++++++
- 9 files changed, 976 insertions(+), 17 deletions(-)
+ ggml/src/ggml-vulkan/ggml-vulkan.cpp | 169 +++++++-
+ ggml/src/mem_hip.cpp                 | 558 +++++++++++++++++++++++++++
+ ggml/src/mem_nvml.cpp                | 209 ++++++++++
+ 9 files changed, 1005 insertions(+), 17 deletions(-)
  create mode 100644 ggml/src/mem_hip.cpp
  create mode 100644 ggml/src/mem_nvml.cpp
 
@@ -58,7 +58,7 @@ index d55aed348..99ae293cc 100644
  
  set_target_properties(ggml-base PROPERTIES
 diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu
-index 6852d2e20..48cdb1dcf 100644
+index 6852d2e20..334a30135 100644
 --- a/ggml/src/ggml-cuda/ggml-cuda.cu
 +++ b/ggml/src/ggml-cuda/ggml-cuda.cu
 @@ -267,6 +267,16 @@ static ggml_cuda_device_info ggml_cuda_init() {
@@ -109,7 +109,7 @@ index 6852d2e20..48cdb1dcf 100644
 +
 +#if defined(GGML_USE_HIP)
 +    if (ggml_hip_mgmt_init() == 0) {
-+        int status = ggml_hip_get_device_memory(ctx->pci_bus_id.c_str(), free, total);
++        int status = ggml_hip_get_device_memory(ctx->pci_bus_id.c_str(), free, total, ctx->integrated != 0);
 +        if (status == 0) {
 +            GGML_LOG_DEBUG("%s device %s utilizing AMD specific memory reporting free: %zu total: %zu\n", __func__, ctx->pci_bus_id.c_str(), *free, *total);
 +            ggml_hip_mgmt_release();
@@ -204,7 +204,7 @@ index 4e162258d..d89e35a8e 100644
  #define cudaErrorPeerAccessAlreadyEnabled hipErrorPeerAccessAlreadyEnabled
  #define cudaErrorPeerAccessNotEnabled hipErrorPeerAccessNotEnabled
 diff --git a/ggml/src/ggml-impl.h b/ggml/src/ggml-impl.h
-index fe57d4c58..1c07e767a 100644
+index fe57d4c58..dba8f4695 100644
 --- a/ggml/src/ggml-impl.h
 +++ b/ggml/src/ggml-impl.h
 @@ -677,6 +677,14 @@ static inline bool ggml_can_fuse_subgraph(const struct ggml_cgraph * cgraph,
@@ -216,7 +216,7 @@ index fe57d4c58..1c07e767a 100644
 +GGML_API int ggml_nvml_get_device_memory(const char *uuid, size_t *free, size_t *total);
 +GGML_API void ggml_nvml_release();
 +GGML_API int ggml_hip_mgmt_init();
-+GGML_API int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total);
++GGML_API int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total, bool is_integrated_gpu);
 +GGML_API void ggml_hip_mgmt_release();
 +
  #ifdef __cplusplus
@@ -243,7 +243,7 @@ index ba95b4acc..f6f8f7a10 100644
          /* .async                 = */ true,
          /* .host_buffer           = */ false,
 diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp
-index 5349bce24..d43d46d1d 100644
+index 5349bce24..0103fd03a 100644
 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp
 +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp
 @@ -236,6 +236,7 @@ class vk_memory_logger;
@@ -334,7 +334,7 @@ index 5349bce24..d43d46d1d 100644
 +        switch (props2.properties.vendorID) {
 +        case VK_VENDOR_ID_AMD:
 +            if (ggml_hip_mgmt_init() == 0) {
-+                int status = ggml_hip_get_device_memory(ctx->pci_id != "" ? ctx->pci_id.c_str() : ctx->uuid.c_str(), free, total);
++                int status = ggml_hip_get_device_memory(ctx->pci_id != "" ? ctx->pci_id.c_str() : ctx->uuid.c_str(), free, total, ctx->is_integrated_gpu);
 +                if (status == 0) {
 +                    GGML_LOG_DEBUG("%s device %s utilizing AMD specific memory reporting free: %zu total: %zu\n", __func__, ctx->pci_id != "" ? ctx->pci_id.c_str() : ctx->uuid.c_str(), *free, *total);
 +                    ggml_hip_mgmt_release();
@@ -505,10 +505,10 @@ index 5349bce24..d43d46d1d 100644
          }
 diff --git a/ggml/src/mem_hip.cpp b/ggml/src/mem_hip.cpp
 new file mode 100644
-index 000000000..c1949b899
+index 000000000..23c765806
 --- /dev/null
 +++ b/ggml/src/mem_hip.cpp
-@@ -0,0 +1,529 @@
+@@ -0,0 +1,558 @@
 +#include "ggml.h"
 +#include "ggml-impl.h"
 +
@@ -842,7 +842,7 @@ index 000000000..c1949b899
 +    if (gpus != NULL) gpus->pVtbl->Release(gpus); \
 +    if (gpu != NULL) gpu->pVtbl->Release(gpu)
 +
-+int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total) {
++int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total, bool is_integrated_gpu) {
 +    std::lock_guard<std::mutex> lock(ggml_adlx_lock);
 +    if (adlx.handle == NULL) {
 +        GGML_LOG_INFO("%s ADLX was not initialized\n", __func__);
@@ -966,13 +966,16 @@ index 000000000..c1949b899
 +    return 0;
 +}
 +void ggml_hip_mgmt_release() {}
-+int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total) {
++int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total, bool is_integrated_gpu) {
 +    GGML_LOG_INFO("%s searching for device %s\n", __func__, id);
 +    const std::string drmDeviceGlob = "/sys/class/drm/card*/device/uevent";
 +    const std::string drmTotalMemoryFile = "mem_info_vram_total";
 +    const std::string drmUsedMemoryFile = "mem_info_vram_used";
++    const std::string drmGTTTotalMemoryFile = "mem_info_gtt_total";
++    const std::string drmGTTUsedMemoryFile = "mem_info_gtt_used";
 +    const std::string drmUeventPCISlotLabel = "PCI_SLOT_NAME=";
 +
++
 +    glob_t glob_result;
 +    glob(drmDeviceGlob.c_str(), GLOB_NOSORT, NULL, &glob_result);
 +
@@ -1006,7 +1009,6 @@ index 000000000..c1949b899
 +
 +                    uint64_t memory;
 +                    totalFileStream >> memory;
-+                    *total = memory;
 +
 +                    std::string usedFile = dir + "/" + drmUsedMemoryFile;
 +                    std::ifstream usedFileStream(usedFile.c_str());
@@ -1019,6 +1021,33 @@ index 000000000..c1949b899
 +
 +                    uint64_t memoryUsed;
 +                    usedFileStream >> memoryUsed;
++
++                    if (is_integrated_gpu) {
++                        std::string totalFile = dir + "/" + drmGTTTotalMemoryFile;
++                        std::ifstream totalFileStream(totalFile.c_str());
++                        if (!totalFileStream.is_open()) {
++                            GGML_LOG_DEBUG("%s Failed to read sysfs node %s\n", __func__, totalFile.c_str());
++                            file.close();
++                            globfree(&glob_result);
++                            return 1;
++                        }
++                        uint64_t gtt;
++                        totalFileStream >> gtt;
++                        std::string usedFile = dir + "/" + drmGTTUsedMemoryFile;
++                        std::ifstream usedFileStream(usedFile.c_str());
++                        if (!usedFileStream.is_open()) {
++                            GGML_LOG_DEBUG("%s Failed to read sysfs node %s\n", __func__, usedFile.c_str());
++                            file.close();
++                            globfree(&glob_result);
++                            return 1;
++                        }
++                        uint64_t gttUsed;
++                        usedFileStream >> gttUsed;
++                        memory += gtt;
++                        memoryUsed += gttUsed;
++                    }
++
++                    *total = memory;
 +                    *free = memory - memoryUsed;
 +
 +                    file.close();

llama/patches/0028-Add-memory-detection-using-DXGI-PDH.patch

@@ -24,12 +24,12 @@ index 99ae293cc..9a134b7af 100644
  
  set_target_properties(ggml-base PROPERTIES
 diff --git a/ggml/src/ggml-impl.h b/ggml/src/ggml-impl.h
-index 1c07e767a..0da3e065b 100644
+index dba8f4695..7e17032c7 100644
 --- a/ggml/src/ggml-impl.h
 +++ b/ggml/src/ggml-impl.h
 @@ -684,6 +684,9 @@ GGML_API void ggml_nvml_release();
  GGML_API int ggml_hip_mgmt_init();
- GGML_API int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total);
+ GGML_API int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total, bool is_integrated_gpu);
  GGML_API void ggml_hip_mgmt_release();
 +GGML_API int ggml_dxgi_pdh_init();
 +GGML_API int ggml_dxgi_pdh_get_device_memory(const char* luid, size_t *free, size_t *total, bool is_integrated_gpu);
@@ -38,7 +38,7 @@ index 1c07e767a..0da3e065b 100644
  #ifdef __cplusplus
  }
 diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp
-index d43d46d1d..df79f9f79 100644
+index 0103fd03a..9cc4ebdef 100644
 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp
 +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp
 @@ -74,6 +74,7 @@ DispatchLoaderDynamic & ggml_vk_default_dispatcher();

llama/patches/0029-ggml-cuda-skip-large-batches.patch

@@ -10,7 +10,7 @@ fallback to cpu
  1 file changed, 3 insertions(+)
 
 diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu
-index 48cdb1dcf..3102d7ea7 100644
+index 334a30135..5c9dfd032 100644
 --- a/ggml/src/ggml-cuda/ggml-cuda.cu
 +++ b/ggml/src/ggml-cuda/ggml-cuda.cu
 @@ -4633,6 +4633,9 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g

ml/backend/ggml/ggml/src/ggml-cuda/ggml-cuda.cu

@@ -4436,7 +4436,7 @@ static void ggml_backend_cuda_device_get_memory(ggml_backend_dev_t dev, size_t *
 
 #if defined(GGML_USE_HIP)
     if (ggml_hip_mgmt_init() == 0) {
-        int status = ggml_hip_get_device_memory(ctx->pci_bus_id.c_str(), free, total);
+        int status = ggml_hip_get_device_memory(ctx->pci_bus_id.c_str(), free, total, ctx->integrated != 0);
         if (status == 0) {
             GGML_LOG_DEBUG("%s device %s utilizing AMD specific memory reporting free: %zu total: %zu\n", __func__, ctx->pci_bus_id.c_str(), *free, *total);
             ggml_hip_mgmt_release();

ml/backend/ggml/ggml/src/ggml-impl.h

@@ -682,7 +682,7 @@ GGML_API int ggml_nvml_init();
 GGML_API int ggml_nvml_get_device_memory(const char *uuid, size_t *free, size_t *total);
 GGML_API void ggml_nvml_release();
 GGML_API int ggml_hip_mgmt_init();
-GGML_API int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total);
+GGML_API int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total, bool is_integrated_gpu);
 GGML_API void ggml_hip_mgmt_release();
 GGML_API int ggml_dxgi_pdh_init();
 GGML_API int ggml_dxgi_pdh_get_device_memory(const char* luid, size_t *free, size_t *total, bool is_integrated_gpu);

ml/backend/ggml/ggml/src/ggml-vulkan/ggml-vulkan.cpp

@@ -13710,7 +13710,7 @@ void ggml_backend_vk_get_device_memory(ggml_backend_vk_device_context *ctx, size
         switch (props2.properties.vendorID) {
         case VK_VENDOR_ID_AMD:
             if (ggml_hip_mgmt_init() == 0) {
-                int status = ggml_hip_get_device_memory(ctx->pci_id != "" ? ctx->pci_id.c_str() : ctx->uuid.c_str(), free, total);
+                int status = ggml_hip_get_device_memory(ctx->pci_id != "" ? ctx->pci_id.c_str() : ctx->uuid.c_str(), free, total, ctx->is_integrated_gpu);
                 if (status == 0) {
                     GGML_LOG_DEBUG("%s device %s utilizing AMD specific memory reporting free: %zu total: %zu\n", __func__, ctx->pci_id != "" ? ctx->pci_id.c_str() : ctx->uuid.c_str(), *free, *total);
                     ggml_hip_mgmt_release();

ml/backend/ggml/ggml/src/mem_hip.cpp

@@ -331,7 +331,7 @@ void ggml_hip_mgmt_release() {
     if (gpus != NULL) gpus->pVtbl->Release(gpus); \
     if (gpu != NULL) gpu->pVtbl->Release(gpu)
 
-int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total) {
+int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total, bool is_integrated_gpu) {
     std::lock_guard<std::mutex> lock(ggml_adlx_lock);
     if (adlx.handle == NULL) {
         GGML_LOG_INFO("%s ADLX was not initialized\n", __func__);
@@ -455,13 +455,16 @@ int ggml_hip_mgmt_init() {
     return 0;
 }
 void ggml_hip_mgmt_release() {}
-int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total) {
+int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total, bool is_integrated_gpu) {
     GGML_LOG_INFO("%s searching for device %s\n", __func__, id);
     const std::string drmDeviceGlob = "/sys/class/drm/card*/device/uevent";
     const std::string drmTotalMemoryFile = "mem_info_vram_total";
     const std::string drmUsedMemoryFile = "mem_info_vram_used";
+    const std::string drmGTTTotalMemoryFile = "mem_info_gtt_total";
+    const std::string drmGTTUsedMemoryFile = "mem_info_gtt_used";
     const std::string drmUeventPCISlotLabel = "PCI_SLOT_NAME=";
 
+
     glob_t glob_result;
     glob(drmDeviceGlob.c_str(), GLOB_NOSORT, NULL, &glob_result);
 
@@ -495,7 +498,6 @@ int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total) {
 
                     uint64_t memory;
                     totalFileStream >> memory;
-                    *total = memory;
 
                     std::string usedFile = dir + "/" + drmUsedMemoryFile;
                     std::ifstream usedFileStream(usedFile.c_str());
@@ -508,6 +510,33 @@ int ggml_hip_get_device_memory(const char *id, size_t *free, size_t *total) {
 
                     uint64_t memoryUsed;
                     usedFileStream >> memoryUsed;
+
+                    if (is_integrated_gpu) {
+                        std::string totalFile = dir + "/" + drmGTTTotalMemoryFile;
+                        std::ifstream totalFileStream(totalFile.c_str());
+                        if (!totalFileStream.is_open()) {
+                            GGML_LOG_DEBUG("%s Failed to read sysfs node %s\n", __func__, totalFile.c_str());
+                            file.close();
+                            globfree(&glob_result);
+                            return 1;
+                        }
+                        uint64_t gtt;
+                        totalFileStream >> gtt;
+                        std::string usedFile = dir + "/" + drmGTTUsedMemoryFile;
+                        std::ifstream usedFileStream(usedFile.c_str());
+                        if (!usedFileStream.is_open()) {
+                            GGML_LOG_DEBUG("%s Failed to read sysfs node %s\n", __func__, usedFile.c_str());
+                            file.close();
+                            globfree(&glob_result);
+                            return 1;
+                        }
+                        uint64_t gttUsed;
+                        usedFileStream >> gttUsed;
+                        memory += gtt;
+                        memoryUsed += gttUsed;
+                    }
+
+                    *total = memory;
                     *free = memory - memoryUsed;
 
                     file.close();