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Vulkan Fixes (#5223)

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* Fix Vulkan F16 models

* Fix Vulkan context shift crash

* Add Vulkan to common.cpp dump_non_result_info_yaml function

* Fix bug in Vulkan CPY op

* Fix small matrix multiplication errors in AMD GPUs on Windows or with amdvlk

Co-authored-by: Engininja2 <139037756+Engininja2@users.noreply.github.com>

---------

Co-authored-by: Engininja2 <139037756+Engininja2@users.noreply.github.com>
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0cc4m 2024-01-31 11:44:19 +01:00 committed by GitHub
parent d62520eb2c
commit f8e9140cb4
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GPG Key ID: B5690EEEBB952194
4 changed files with 704 additions and 1267 deletions
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1
common/common.cpp
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@ -1520,6 +1520,7 @@ void dump_non_result_info_yaml(FILE * stream, const gpt_params & params, const l
fprintf(stream, "cpu_has_avx512_vbmi: %s\n", ggml_cpu_has_avx512_vbmi() ? "true" : "false"); fprintf(stream, "cpu_has_avx512_vbmi: %s\n", ggml_cpu_has_avx512_vbmi() ? "true" : "false");
fprintf(stream, "cpu_has_avx512_vnni: %s\n", ggml_cpu_has_avx512_vnni() ? "true" : "false"); fprintf(stream, "cpu_has_avx512_vnni: %s\n", ggml_cpu_has_avx512_vnni() ? "true" : "false");
fprintf(stream, "cpu_has_cublas: %s\n", ggml_cpu_has_cublas() ? "true" : "false"); fprintf(stream, "cpu_has_cublas: %s\n", ggml_cpu_has_cublas() ? "true" : "false");
fprintf(stream, "cpu_has_vulkan: %s\n", ggml_cpu_has_vulkan() ? "true" : "false");
fprintf(stream, "cpu_has_clblast: %s\n", ggml_cpu_has_clblast() ? "true" : "false"); fprintf(stream, "cpu_has_clblast: %s\n", ggml_cpu_has_clblast() ? "true" : "false");
fprintf(stream, "cpu_has_kompute: %s\n", ggml_cpu_has_kompute() ? "true" : "false"); fprintf(stream, "cpu_has_kompute: %s\n", ggml_cpu_has_kompute() ? "true" : "false");
fprintf(stream, "cpu_has_fma: %s\n", ggml_cpu_has_fma() ? "true" : "false"); fprintf(stream, "cpu_has_fma: %s\n", ggml_cpu_has_fma() ? "true" : "false");

1952
ggml-vulkan-shaders.hpp
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File diff suppressed because it is too large Load Diff

14
ggml-vulkan.cpp
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@ -817,7 +817,7 @@ static void ggml_vk_load_shaders() {
// mulmat // mulmat
std::initializer_list<uint32_t> warptile_l = { 128, 128, 128, 16, vk_device.subgroup_size * 2, 64, 2, 4, 4, vk_device.subgroup_size }; std::initializer_list<uint32_t> warptile_l = { 128, 128, 128, 16, vk_device.subgroup_size * 2, 64, 2, 4, 4, vk_device.subgroup_size };
std::initializer_list<uint32_t> warptile_m = { 128, 64, 64, 16, vk_device.subgroup_size, 32, 2, 4, 2, vk_device.subgroup_size }; std::initializer_list<uint32_t> warptile_m = { 128, 64, 64, 16, vk_device.subgroup_size, 32, 2, 4, 2, vk_device.subgroup_size };
std::initializer_list<uint32_t> warptile_s = { vk_device.subgroup_size, 32, 32, 8, 32, 32, 2, 2, 2, vk_device.subgroup_size }; std::initializer_list<uint32_t> warptile_s = { vk_device.subgroup_size, 32, 32, 16, 32, 32, 2, 2, 2, vk_device.subgroup_size };
std::array<uint32_t, 3> l_wg_denoms = {128, 128, 1 }; std::array<uint32_t, 3> l_wg_denoms = {128, 128, 1 };
std::array<uint32_t, 3> m_wg_denoms = { 64, 64, 1 }; std::array<uint32_t, 3> m_wg_denoms = { 64, 64, 1 };
@ -2873,7 +2873,8 @@ static void ggml_vk_op_f32(vk_context * ctx, const ggml_tensor * src0, const ggm
if (op == GGML_OP_CPY) { if (op == GGML_OP_CPY) {
GGML_ASSERT(!transfer_src0); GGML_ASSERT(!transfer_src0);
GGML_ASSERT(!transfer_src1); GGML_ASSERT(!transfer_src1);
d_sz = dst->ne[1] * dst->nb[1]; x_sz = ggml_nbytes(src0);
d_sz = ggml_nbytes(dst);
if (extra->offset + d_sz >= d_D->size) { if (extra->offset + d_sz >= d_D->size) {
d_sz = VK_WHOLE_SIZE; d_sz = VK_WHOLE_SIZE;
@ -4556,8 +4557,15 @@ GGML_CALL static bool ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml
} }
ggml_vk_preallocate_buffers(); ggml_vk_preallocate_buffers();
int last_node = cgraph->n_nodes - 1;
// If the last op in the cgraph isn't backend GPU, the command buffer doesn't get closed properly
while (last_node > 0 && cgraph->nodes[last_node]->backend != GGML_BACKEND_GPU) {
last_node -= 1;
}
for (int i = 0; i < cgraph->n_nodes; i++) { for (int i = 0; i < cgraph->n_nodes; i++) {
ggml_vk_build_graph(cgraph->nodes[i], i == cgraph->n_nodes - 1); ggml_vk_build_graph(cgraph->nodes[i], i == last_node);
} }
ggml_compute_params params = {}; ggml_compute_params params = {};

4
ggml_vk_generate_shaders.py
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@ -19,8 +19,8 @@ shader_int8_ext = """
# Type-specific defines # Type-specific defines
shader_f16_defines = """ shader_f16_defines = """
#define QUANT_K 32 #define QUANT_K 1
#define QUANT_R 2 #define QUANT_R 1
#define A_TYPE float16_t #define A_TYPE float16_t
""" """