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2 Commits

Author SHA1 Message Date
Reese Levine 587d0118f5 ggml: WebGPU backend host improvements and style fixing (#14978)
* Add parameter buffer pool, batching of submissions, refactor command building/submission

* Add header for linux builds

* Free staged parameter buffers at once

* Format with clang-format

* Fix thread-safe implementation

* Use device implicit synchronization

* Update workflow to use custom release

* Remove testing branch workflow
2025-08-04 08:52:43 -07:00
Jeff Bolz 5aa1105da2 vulkan: fix build when using glslang that does not support coopmat2 (#15062) 2025-08-04 07:09:19 +02:00
4 changed files with 507 additions and 440 deletions
+16 -48
View File
@@ -159,31 +159,15 @@ jobs:
- name: Dawn Dependency
id: dawn-depends
run: |
ARTIFACTS_JSON=$(curl -s -L \
-H "Accept: application/vnd.github+json" \
-H "Authorization: Bearer ${{ secrets.GITHUB_TOKEN }}" \
-H "X-GitHub-Api-Version: 2022-11-28" \
"https://api.github.com/repos/google/dawn/actions/artifacts")
echo "Finding latest macos-latest-Release artifact..."
DOWNLOAD_URL=$(echo "$ARTIFACTS_JSON" | jq -r '.artifacts
| sort_by(.created_at)
| reverse
| map(select(.name | test("macos-latest-Release$")))
| .[0].archive_download_url')
if [ "$DOWNLOAD_URL" = "null" ] || [ -z "$DOWNLOAD_URL" ]; then
echo "No suitable Dawn artifact found!"
exit 1
fi
echo "Downloading from: $DOWNLOAD_URL"
curl -L \
-H "Accept: application/vnd.github+json" \
-H "Authorization: Bearer ${{ secrets.GITHUB_TOKEN }}" \
-o artifact.zip "$DOWNLOAD_URL"
unzip artifact.zip
DAWN_VERSION="v1.0.0"
DAWN_OWNER="reeselevine"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-a1a6b45cced25a3b7f4fb491e0ae70796cc7f22b-macos-latest-Release.tar.gz"
echo "Fetching release asset from https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}"
curl -L -o artifact.tar.gz \
"https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}"
mkdir dawn
tar_file=$(find . -name '*.tar.gz' | head -n 1)
echo "Extracting: $tar_file"
tar -xvf "$tar_file" -C dawn --strip-components=1
tar -xvf artifact.tar.gz -C dawn --strip-components=1
- name: Build
id: cmake_build
@@ -433,31 +417,15 @@ jobs:
id: dawn-depends
run: |
sudo apt-get install -y libxrandr-dev libxinerama-dev libxcursor-dev mesa-common-dev libx11-xcb-dev libxi-dev
ARTIFACTS_JSON=$(curl -s -L \
-H "Accept: application/vnd.github+json" \
-H "Authorization: Bearer ${{ secrets.GITHUB_TOKEN }}" \
-H "X-GitHub-Api-Version: 2022-11-28" \
"https://api.github.com/repos/google/dawn/actions/artifacts")
echo "Finding latest ubuntu-latest-Release artifact..."
DOWNLOAD_URL=$(echo "$ARTIFACTS_JSON" | jq -r '.artifacts
| sort_by(.created_at)
| reverse
| map(select(.name | test("ubuntu-latest-Release$")))
| .[0].archive_download_url')
if [ "$DOWNLOAD_URL" = "null" ] || [ -z "$DOWNLOAD_URL" ]; then
echo "No suitable Dawn artifact found!"
exit 1
fi
echo "Downloading from: $DOWNLOAD_URL"
curl -L \
-H "Accept: application/vnd.github+json" \
-H "Authorization: Bearer ${{ secrets.GITHUB_TOKEN }}" \
-o artifact.zip "$DOWNLOAD_URL"
unzip artifact.zip
DAWN_VERSION="v1.0.0"
DAWN_OWNER="reeselevine"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-a1a6b45cced25a3b7f4fb491e0ae70796cc7f22b-ubuntu-latest-Release.tar.gz"
echo "Fetching release asset from https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}"
curl -L -o artifact.tar.gz \
"https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}"
mkdir dawn
tar_file=$(find . -name '*.tar.gz' | head -n 1)
echo "Extracting: $tar_file"
tar -xvf "$tar_file" -C dawn --strip-components=1
tar -xvf artifact.tar.gz -C dawn --strip-components=1
- name: Build
id: cmake_build
+6 -1
View File
@@ -3096,9 +3096,11 @@ static void ggml_vk_load_shaders(vk_device& device) {
uint32_t conv2d_SHMEM_PAD = 4;
bool conv2d_UNROLL = true;
#if defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT)
if (device->coopmat2) {
conv2d_SHMEM_PAD = 8; // 8 float16_t
}
#endif
if (device->vendor_id == VK_VENDOR_ID_INTEL) {
conv2d_SHMEM_PAD = 0;
@@ -3158,6 +3160,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
std::array<uint32_t, 3> wg_denoms = { conv2d_BS_K, conv2d_BS_NPQ, 1 };
std::vector<uint32_t> spec_constants = { conv2d_WG_SIZE, conv2d_BS_K, conv2d_BS_CRS, conv2d_BS_NPQ, conv2d_TS_K, use_collectives, conv2d_SHMEM_PAD };
#if defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT)
if (device->coopmat2) {
ggml_vk_create_pipeline(
device, device->pipeline_conv2d_f32[s], "conv2d_f32", conv2d_f32_cm2_len, conv2d_f32_cm2_data, "main", 3,
@@ -3165,7 +3168,9 @@ static void ggml_vk_load_shaders(vk_device& device) {
ggml_vk_create_pipeline(
device, device->pipeline_conv2d_f16_f32[s], "conv2d_f16_f32", conv2d_f16_f32_cm2_len, conv2d_f16_f32_cm2_data, "main", 3,
sizeof(vk_op_conv2d_push_constants), wg_denoms, spec_constants, 1, true, use_collectives);
} else if (conv2d_UNROLL) {
} else
#endif
if (conv2d_UNROLL) {
ggml_vk_create_pipeline(
device, device->pipeline_conv2d_f32[s], "conv2d_f32", conv2d_f32_unroll_len, conv2d_f32_unroll_data, "main", 3,
sizeof(vk_op_conv2d_push_constants), wg_denoms, spec_constants, 1, true, use_collectives);
@@ -661,8 +661,10 @@ void process_shaders() {
string_to_spv("conv2d_f32", "conv2d_mm.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"USE_COLLECTIVES", "1"}, {"UNROLL", ""}});
string_to_spv("conv2d_f16_f32", "conv2d_mm.comp", {{"A_TYPE", "float16_t"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"USE_COLLECTIVES", "1"}, {"UNROLL", ""}});
#if defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT)
string_to_spv("conv2d_f32", "conv2d_mm.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"USE_COLLECTIVES", "1"}, {"UNROLL", "[[unroll]]"}, {"COOPMAT2", "1"}}, true, false, true);
string_to_spv("conv2d_f16_f32", "conv2d_mm.comp", {{"A_TYPE", "float16_t"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"USE_COLLECTIVES", "1"}, {"UNROLL", "[[unroll]]"}, {"COOPMAT2", "1"}}, true, false, true);
#endif
string_to_spv("conv2d_dw_whcn_f32", "conv2d_dw.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"WHCN", "1"}}));
string_to_spv("conv2d_dw_cwhn_f32", "conv2d_dw.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"CWHN", "1"}}));
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