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https://github.com/ggerganov/llama.cpp.git
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Vulkan IQ4_NL Support (#8613)
* Fix Vulkan matmul tests compile errors * Add Vulkan IQ4_NL support * Fix Vulkan DeepSeek-Coder-V2-Lite MoE support
This commit is contained in:
0cc4m
GitHub
parent
46e47417aa
commit
751fcfc6c3
@ -38,8 +38,6 @@
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#define VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI 1
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#define VK_DEVICE_DESCRIPTOR_POOL_MODE_SINGLE 2
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#define VK_NUM_TYPES 16
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#define GGML_VK_MAX_NODES 8192
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#define MAX_VK_BUFFERS 256
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@ -162,23 +160,23 @@ struct vk_device_struct {
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vk_matmul_pipeline pipeline_matmul_f16_f32;
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vk_pipeline pipeline_matmul_split_k_reduce;
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vk_matmul_pipeline pipeline_dequant_mul_mat_mat[VK_NUM_TYPES];
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vk_matmul_pipeline pipeline_dequant_mul_mat_mat[GGML_TYPE_COUNT];
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vk_matmul_pipeline pipeline_matmul_id_f32;
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vk_matmul_pipeline pipeline_matmul_id_f16;
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vk_matmul_pipeline pipeline_matmul_id_f16_f32;
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vk_matmul_pipeline pipeline_dequant_mul_mat_mat_id[VK_NUM_TYPES];
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vk_matmul_pipeline pipeline_dequant_mul_mat_mat_id[GGML_TYPE_COUNT];
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vk_pipeline pipeline_dequant[VK_NUM_TYPES];
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vk_pipeline pipeline_dequant_mul_mat_vec_f32_f32[VK_NUM_TYPES];
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vk_pipeline pipeline_dequant_mul_mat_vec_f16_f32[VK_NUM_TYPES];
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vk_pipeline pipeline_dequant_mul_mat_vec_id_f32[VK_NUM_TYPES];
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vk_pipeline pipeline_dequant[GGML_TYPE_COUNT];
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vk_pipeline pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_COUNT];
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vk_pipeline pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_COUNT];
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vk_pipeline pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_COUNT];
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vk_pipeline pipeline_mul_mat_vec_p021_f16_f32;
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vk_pipeline pipeline_mul_mat_vec_nc_f16_f32;
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vk_pipeline pipeline_get_rows[VK_NUM_TYPES];
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vk_pipeline pipeline_get_rows_f32[VK_NUM_TYPES];
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vk_pipeline pipeline_get_rows[GGML_TYPE_COUNT];
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vk_pipeline pipeline_get_rows_f32[GGML_TYPE_COUNT];
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vk_pipeline pipeline_mul_f32;
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vk_pipeline pipeline_div_f32;
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vk_pipeline pipeline_add_f32;
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@ -1059,25 +1057,6 @@ static void ggml_vk_wait_events(vk_context * ctx, std::vector<vk::Event>&& event
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);
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}
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static bool ggml_vk_build_shader(ggml_type type) {
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switch(type) {
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case GGML_TYPE_F16:
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case GGML_TYPE_Q4_0:
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case GGML_TYPE_Q4_1:
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case GGML_TYPE_Q5_0:
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case GGML_TYPE_Q5_1:
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case GGML_TYPE_Q8_0:
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case GGML_TYPE_Q2_K:
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case GGML_TYPE_Q3_K:
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case GGML_TYPE_Q4_K:
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case GGML_TYPE_Q5_K:
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case GGML_TYPE_Q6_K:
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return true;
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default:
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return false;
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}
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}
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static void ggml_vk_load_shaders(vk_device& device) {
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VK_LOG_DEBUG("ggml_vk_load_shaders(" << device->name << ")");
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@ -1112,6 +1091,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
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device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K] = std::make_shared<vk_matmul_pipeline_struct>();
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device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K] = std::make_shared<vk_matmul_pipeline_struct>();
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device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K] = std::make_shared<vk_matmul_pipeline_struct>();
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device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL] = std::make_shared<vk_matmul_pipeline_struct>();
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device->pipeline_matmul_id_f32 = std::make_shared<vk_matmul_pipeline_struct>();
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device->pipeline_matmul_id_f16_f32 = std::make_shared<vk_matmul_pipeline_struct>();
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@ -1126,6 +1106,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
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device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K] = std::make_shared<vk_matmul_pipeline_struct>();
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device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K] = std::make_shared<vk_matmul_pipeline_struct>();
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device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K] = std::make_shared<vk_matmul_pipeline_struct>();
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device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL] = std::make_shared<vk_matmul_pipeline_struct>();
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if (device->fp16) {
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ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
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@ -1226,6 +1207,13 @@ static void ggml_vk_load_shaders(vk_device& device) {
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL]->l, "matmul_iq4_nl_f32_l", matmul_iq4_nl_f32_len, matmul_iq4_nl_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL]->m, "matmul_iq4_nl_f32_m", matmul_iq4_nl_f32_len, matmul_iq4_nl_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL]->s, "matmul_iq4_nl_f32_s", matmul_iq4_nl_f32_len, matmul_iq4_nl_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL]->a_l, "matmul_iq4_nl_f32_aligned_l", matmul_iq4_nl_f32_aligned_len, matmul_iq4_nl_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL]->a_m, "matmul_iq4_nl_f32_aligned_m", matmul_iq4_nl_f32_aligned_len, matmul_iq4_nl_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL]->a_s, "matmul_iq4_nl_f32_aligned_s", matmul_iq4_nl_f32_aligned_len, matmul_iq4_nl_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
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ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
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ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
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ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
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@ -1316,6 +1304,13 @@ static void ggml_vk_load_shaders(vk_device& device) {
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL]->l, "matmul_id_iq4_nl_f32_l", matmul_id_iq4_nl_f32_len, matmul_id_iq4_nl_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL]->m, "matmul_id_iq4_nl_f32_m", matmul_id_iq4_nl_f32_len, matmul_id_iq4_nl_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL]->s, "matmul_id_iq4_nl_f32_s", matmul_id_iq4_nl_f32_len, matmul_id_iq4_nl_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL]->a_l, "matmul_id_iq4_nl_f32_aligned_l", matmul_id_iq4_nl_f32_aligned_len, matmul_id_iq4_nl_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL]->a_m, "matmul_id_iq4_nl_f32_aligned_m", matmul_id_iq4_nl_f32_aligned_len, matmul_id_iq4_nl_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL]->a_s, "matmul_id_iq4_nl_f32_aligned_s", matmul_id_iq4_nl_f32_aligned_len, matmul_id_iq4_nl_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
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} else {
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ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
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ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
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@ -1415,6 +1410,13 @@ static void ggml_vk_load_shaders(vk_device& device) {
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL]->l, "matmul_iq4_nl_f32_l", matmul_iq4_nl_f32_fp32_len, matmul_iq4_nl_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL]->m, "matmul_iq4_nl_f32_m", matmul_iq4_nl_f32_fp32_len, matmul_iq4_nl_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL]->s, "matmul_iq4_nl_f32_s", matmul_iq4_nl_f32_fp32_len, matmul_iq4_nl_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL]->a_l, "matmul_iq4_nl_f32_aligned_l", matmul_iq4_nl_f32_aligned_fp32_len, matmul_iq4_nl_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL]->a_m, "matmul_iq4_nl_f32_aligned_m", matmul_iq4_nl_f32_aligned_fp32_len, matmul_iq4_nl_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL]->a_s, "matmul_iq4_nl_f32_aligned_s", matmul_iq4_nl_f32_aligned_fp32_len, matmul_iq4_nl_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
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ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
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ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
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ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
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@ -1505,6 +1507,13 @@ static void ggml_vk_load_shaders(vk_device& device) {
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL]->l, "matmul_id_iq4_nl_f32_l", matmul_id_iq4_nl_f32_fp32_len, matmul_id_iq4_nl_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL]->m, "matmul_id_iq4_nl_f32_m", matmul_id_iq4_nl_f32_fp32_len, matmul_id_iq4_nl_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL]->s, "matmul_id_iq4_nl_f32_s", matmul_id_iq4_nl_f32_fp32_len, matmul_id_iq4_nl_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL]->a_l, "matmul_id_iq4_nl_f32_aligned_l", matmul_id_iq4_nl_f32_aligned_fp32_len, matmul_id_iq4_nl_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL]->a_m, "matmul_id_iq4_nl_f32_aligned_m", matmul_id_iq4_nl_f32_aligned_fp32_len, matmul_id_iq4_nl_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
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ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL]->a_s, "matmul_id_iq4_nl_f32_aligned_s", matmul_id_iq4_nl_f32_aligned_fp32_len, matmul_id_iq4_nl_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
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}
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// mul mat vec
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@ -1520,6 +1529,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f32_f32", mul_mat_vec_q4_k_f32_f32_len, mul_mat_vec_q4_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f32_f32", mul_mat_vec_q5_k_f32_f32_len, mul_mat_vec_q5_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f32_f32", mul_mat_vec_q6_k_f32_f32_len, mul_mat_vec_q6_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ4_NL], "mul_mat_vec_iq4_nl_f32_f32", mul_mat_vec_iq4_nl_f32_f32_len, mul_mat_vec_iq4_nl_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f16_f32", mul_mat_vec_f32_f16_f32_len, mul_mat_vec_f32_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f16_f32", mul_mat_vec_f16_f16_f32_len, mul_mat_vec_f16_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
@ -1533,6 +1543,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f16_f32", mul_mat_vec_q4_k_f16_f32_len, mul_mat_vec_q4_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f16_f32", mul_mat_vec_q5_k_f16_f32_len, mul_mat_vec_q5_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f16_f32", mul_mat_vec_q6_k_f16_f32_len, mul_mat_vec_q6_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ4_NL], "mul_mat_vec_iq4_nl_f16_f32", mul_mat_vec_iq4_nl_f16_f32_len, mul_mat_vec_iq4_nl_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F32 ], "mul_mat_vec_id_f32_f32", mul_mat_vec_id_f32_f32_len, mul_mat_vec_id_f32_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F16 ], "mul_mat_vec_id_f16_f32", mul_mat_vec_id_f16_f32_len, mul_mat_vec_id_f16_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
@ -1546,6 +1557,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_K], "mul_mat_vec_id_q4_k_f32", mul_mat_vec_id_q4_k_f32_len, mul_mat_vec_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_K], "mul_mat_vec_id_q5_k_f32", mul_mat_vec_id_q5_k_f32_len, mul_mat_vec_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q6_K], "mul_mat_vec_id_q6_k_f32", mul_mat_vec_id_q6_k_f32_len, mul_mat_vec_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ4_NL], "mul_mat_vec_id_iq4_nl_f32", mul_mat_vec_id_iq4_nl_f32_len, mul_mat_vec_id_iq4_nl_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
|
||||
|
||||
// dequant shaders
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_F32 ], "f32_to_f16", dequant_f32_len, dequant_f32_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
|
||||
@ -1559,6 +1571,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q4_K], "dequant_q4_k", dequant_q4_k_len, dequant_q4_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q5_K], "dequant_q5_k", dequant_q5_k_len, dequant_q5_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q6_K], "dequant_q6_k", dequant_q6_k_len, dequant_q6_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ4_NL], "dequant_iq4_nl", dequant_iq4_nl_len, dequant_iq4_nl_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
|
||||
|
||||
// get_rows
|
||||
ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_F32 ], "get_rows_f32", get_rows_f32_len, get_rows_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
|
||||
@ -1568,6 +1581,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
|
||||
ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q5_0], "get_rows_q5_0", get_rows_q5_0_len, get_rows_q5_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q5_1], "get_rows_q5_1", get_rows_q5_1_len, get_rows_q5_1_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q8_0], "get_rows_q8_0", get_rows_q8_0_len, get_rows_q8_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ4_NL], "get_rows_iq4_nl", get_rows_iq4_nl_len, get_rows_iq4_nl_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
|
||||
|
||||
ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F32 ], "get_rows_f32_f32", get_rows_f32_f32_len, get_rows_f32_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F16 ], "get_rows_f16_f32", get_rows_f16_f32_len, get_rows_f16_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
|
||||
@ -1576,6 +1590,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
|
||||
ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q5_0], "get_rows_q5_0_f32", get_rows_q5_0_f32_len, get_rows_q5_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q5_1], "get_rows_q5_1_f32", get_rows_q5_1_f32_len, get_rows_q5_1_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q8_0], "get_rows_q8_0_f32", get_rows_q8_0_f32_len, get_rows_q8_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
|
||||
ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ4_NL], "get_rows_iq4_nl_f32", get_rows_iq4_nl_f32_len, get_rows_iq4_nl_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
|
||||
|
||||
ggml_vk_create_pipeline(device, device->pipeline_matmul_split_k_reduce, "split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 2 * sizeof(uint32_t), {256, 1, 1}, {}, 1);
|
||||
|
||||
@ -2087,6 +2102,7 @@ static vk_pipeline ggml_vk_get_to_fp16(ggml_backend_vk_context * ctx, ggml_type
|
||||
case GGML_TYPE_Q4_K:
|
||||
case GGML_TYPE_Q5_K:
|
||||
case GGML_TYPE_Q6_K:
|
||||
case GGML_TYPE_IQ4_NL:
|
||||
break;
|
||||
default:
|
||||
return nullptr;
|
||||
@ -2123,6 +2139,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_conte
|
||||
case GGML_TYPE_Q4_K:
|
||||
case GGML_TYPE_Q5_K:
|
||||
case GGML_TYPE_Q6_K:
|
||||
case GGML_TYPE_IQ4_NL:
|
||||
break;
|
||||
default:
|
||||
return nullptr;
|
||||
@ -2148,6 +2165,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context *
|
||||
case GGML_TYPE_Q4_K:
|
||||
case GGML_TYPE_Q5_K:
|
||||
case GGML_TYPE_Q6_K:
|
||||
case GGML_TYPE_IQ4_NL:
|
||||
break;
|
||||
default:
|
||||
return nullptr;
|
||||
@ -2181,6 +2199,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_co
|
||||
case GGML_TYPE_Q4_K:
|
||||
case GGML_TYPE_Q5_K:
|
||||
case GGML_TYPE_Q6_K:
|
||||
case GGML_TYPE_IQ4_NL:
|
||||
break;
|
||||
default:
|
||||
return nullptr;
|
||||
@ -2206,6 +2225,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context
|
||||
case GGML_TYPE_Q4_K:
|
||||
case GGML_TYPE_Q5_K:
|
||||
case GGML_TYPE_Q6_K:
|
||||
case GGML_TYPE_IQ4_NL:
|
||||
break;
|
||||
default:
|
||||
return nullptr;
|
||||
@ -3431,7 +3451,7 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context *
|
||||
|
||||
const uint64_t nei0 = ids->ne[0];
|
||||
const uint64_t nei1 = ids->ne[1];
|
||||
GGML_ASSERT(nei0 * nei1 <= 2048);
|
||||
GGML_ASSERT(nei0 * nei1 <= 3072);
|
||||
|
||||
const uint32_t nbi1 = ids->nb[1];
|
||||
const uint32_t nbi2 = ids->nb[2];
|
||||
@ -3443,8 +3463,6 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context *
|
||||
|
||||
const uint64_t n_as = ne02;
|
||||
|
||||
GGML_ASSERT(n_as <= 8);
|
||||
|
||||
ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
|
||||
ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
|
||||
ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra;
|
||||
@ -4623,22 +4641,22 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
|
||||
}
|
||||
}
|
||||
|
||||
ggml_pipeline_allocate_descriptor_sets(ctx, p, num_it);
|
||||
ggml_pipeline_allocate_descriptor_sets(ctx->device, p, num_it);
|
||||
if (split_k > 1) {
|
||||
ggml_pipeline_allocate_descriptor_sets(ctx, ctx->device->pipeline_matmul_split_k_reduce, num_it);
|
||||
ggml_pipeline_allocate_descriptor_sets(ctx->device, ctx->device->pipeline_matmul_split_k_reduce, num_it);
|
||||
|
||||
if (ctx->prealloc_split_k == nullptr || ctx->prealloc_split_k->size < sizeof(float) * d_ne * split_k) {
|
||||
// Resize buffer
|
||||
if (ctx->prealloc_split_k != nullptr) {
|
||||
ggml_vk_destroy_buffer(ctx->prealloc_split_k);
|
||||
}
|
||||
ctx->prealloc_split_k = ggml_vk_create_buffer_check(ctx, sizeof(float) * d_ne * split_k, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
ctx->prealloc_split_k = ggml_vk_create_buffer_check(ctx->device, sizeof(float) * d_ne * split_k, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
}
|
||||
}
|
||||
|
||||
vk_buffer d_X = ggml_vk_create_buffer_check(ctx, sizeof(X_TYPE) * x_ne, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer d_Y = ggml_vk_create_buffer_check(ctx, sizeof(Y_TYPE) * y_ne, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer d_D = ggml_vk_create_buffer_check(ctx, sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer d_X = ggml_vk_create_buffer_check(ctx->device, sizeof(X_TYPE) * x_ne, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer d_Y = ggml_vk_create_buffer_check(ctx->device, sizeof(Y_TYPE) * y_ne, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer d_D = ggml_vk_create_buffer_check(ctx->device, sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
|
||||
X_TYPE* x = (X_TYPE *) malloc(sizeof(X_TYPE) * x_ne);
|
||||
Y_TYPE* y = (Y_TYPE *) malloc(sizeof(Y_TYPE) * y_ne);
|
||||
@ -4665,12 +4683,12 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
|
||||
}
|
||||
}
|
||||
|
||||
ggml_vk_buffer_write(ctx, d_X, 0, x, sizeof(X_TYPE) * k * m * batch);
|
||||
ggml_vk_buffer_write(ctx, d_Y, 0, y, sizeof(Y_TYPE) * k * n * batch);
|
||||
ggml_vk_buffer_write(d_X, 0, x, sizeof(X_TYPE) * k * m * batch);
|
||||
ggml_vk_buffer_write(d_Y, 0, y, sizeof(Y_TYPE) * k * n * batch);
|
||||
|
||||
vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->compute_queue);
|
||||
for (size_t i = 0; i < num_it; i++) {
|
||||
ggml_vk_ctx_begin(ctx, subctx);
|
||||
ggml_vk_ctx_begin(ctx->device, subctx);
|
||||
ggml_vk_matmul(
|
||||
ctx, subctx, p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), ggml_vk_subbuffer(ctx->prealloc_split_k),
|
||||
m, n, k,
|
||||
@ -4689,7 +4707,7 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
|
||||
double time = std::chrono::duration_cast<std::chrono::microseconds>(end-begin).count() / 1000.0;
|
||||
|
||||
// copy dst to host
|
||||
ggml_vk_buffer_read(ctx, d_D, 0, d, sizeof(float) * d_ne);
|
||||
ggml_vk_buffer_read(d_D, 0, d, sizeof(float) * d_ne);
|
||||
|
||||
float * d_chk = (float *) malloc(sizeof(float) * d_ne);
|
||||
|
||||
@ -4765,7 +4783,7 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
|
||||
|
||||
if (split_k > 1) {
|
||||
float * split_k_buf = (float *) malloc(sizeof(float) * d_ne * split_k);
|
||||
ggml_vk_buffer_read(ctx, ctx->prealloc_split_k, 0, split_k_buf, sizeof(float) * d_ne * split_k);
|
||||
ggml_vk_buffer_read(ctx->prealloc_split_k, 0, split_k_buf, sizeof(float) * d_ne * split_k);
|
||||
|
||||
std::cerr << "d_buf0: " << std::endl << std::endl;
|
||||
ggml_vk_print_matrix_area(split_k_buf, GGML_TYPE_F32, m, n, first_err_m, first_err_n, first_err_b);
|
||||
@ -4785,8 +4803,8 @@ static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t
|
||||
|
||||
free(d_chk);
|
||||
|
||||
ggml_vk_queue_cleanup(ctx, ctx->device->transfer_queue);
|
||||
ggml_vk_queue_cleanup(ctx, ctx->device->compute_queue);
|
||||
ggml_vk_queue_cleanup(ctx->device, ctx->device->transfer_queue);
|
||||
ggml_vk_queue_cleanup(ctx->device, ctx->device->compute_queue);
|
||||
|
||||
ggml_vk_destroy_buffer(d_X);
|
||||
ggml_vk_destroy_buffer(d_Y);
|
||||
@ -4834,90 +4852,23 @@ static void ggml_vk_print_tensor_area(const ggml_tensor * tensor, int i0, int i1
|
||||
}
|
||||
}
|
||||
|
||||
static void ggml_vk_test_transfer(ggml_backend_vk_context * ctx, size_t ne, bool pinned) {
|
||||
VK_LOG_DEBUG("ggml_vk_test_transfer(" << ne << ")");
|
||||
// Check transfers are correct
|
||||
vk_buffer buffer = ggml_vk_create_buffer_check(ctx, sizeof(float) * ne, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
|
||||
float * x;
|
||||
float * y;
|
||||
if (pinned) {
|
||||
x = (float *) ggml_vk_host_malloc(ctx, sizeof(float) * ne);
|
||||
y = (float *) ggml_vk_host_malloc(ctx, sizeof(float) * ne);
|
||||
} else {
|
||||
x = (float *) malloc(sizeof(float) * ne);
|
||||
y = (float *) malloc(sizeof(float) * ne);
|
||||
}
|
||||
|
||||
for (size_t i = 0; i < ne; i++) {
|
||||
x[i] = rand() / (float)RAND_MAX;
|
||||
}
|
||||
|
||||
vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->compute_queue);
|
||||
ggml_vk_ctx_begin(ctx, subctx);
|
||||
|
||||
auto begin = std::chrono::high_resolution_clock::now();
|
||||
|
||||
ggml_vk_buffer_write_async(ctx, subctx, buffer, 0, x, sizeof(float) * ne);
|
||||
|
||||
for (auto& cpy : subctx->in_memcpys) {
|
||||
memcpy(cpy.dst, cpy.src, cpy.n);
|
||||
}
|
||||
subctx->in_memcpys.clear();
|
||||
|
||||
ggml_vk_ctx_end(subctx);
|
||||
ggml_vk_submit(subctx, ctx->fence);
|
||||
VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "ggml_vk_test_transfer waitForFences");
|
||||
ctx->device->device.resetFences({ ctx->fence });
|
||||
|
||||
auto end = std::chrono::high_resolution_clock::now();
|
||||
|
||||
double ms_to_gpu = std::chrono::duration_cast<std::chrono::microseconds>(end-begin).count() / 1000.0;
|
||||
|
||||
ggml_vk_ctx_begin(ctx, subctx);
|
||||
|
||||
begin = std::chrono::high_resolution_clock::now();
|
||||
|
||||
ggml_vk_buffer_read_async(ctx, subctx, buffer, 0, y, sizeof(float) * ne);
|
||||
|
||||
ggml_vk_ctx_end(subctx);
|
||||
ggml_vk_submit(subctx, ctx->fence);
|
||||
VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "ggml_vk_test_transfer waitForFences");
|
||||
ctx->device->device.resetFences({ ctx->fence });
|
||||
|
||||
for (auto& cpy : subctx->out_memcpys) {
|
||||
memcpy(cpy.dst, cpy.src, cpy.n);
|
||||
}
|
||||
subctx->out_memcpys.clear();
|
||||
|
||||
end = std::chrono::high_resolution_clock::now();
|
||||
|
||||
double ms_from_gpu = std::chrono::duration_cast<std::chrono::microseconds>(end-begin).count() / 1000.0;
|
||||
|
||||
double avg_err = 0.0;
|
||||
for (size_t i = 0; i < ne; i++) {
|
||||
avg_err += std::fabs(x[i] - y[i]);
|
||||
}
|
||||
|
||||
double kb = ne * sizeof(float) / 1024.0;
|
||||
|
||||
std::cerr << "TEST TRANSFER " << kb << " KB to_gpu " << ms_to_gpu << "ms (" << kb / ms_to_gpu * 1000.0 / 1024.0 << " MB/s) from_gpu " << ms_from_gpu << "ms (" << kb / ms_from_gpu * 1000.0 / 1024.0 << " MB/s) avg_err=" << avg_err / ne << std::endl;
|
||||
|
||||
ggml_vk_destroy_buffer(buffer);
|
||||
|
||||
if (pinned) {
|
||||
ggml_vk_host_free(ctx, x);
|
||||
ggml_vk_host_free(ctx, y);
|
||||
} else {
|
||||
free(x);
|
||||
free(y);
|
||||
}
|
||||
}
|
||||
|
||||
static void ggml_vk_quantize_data(const float * from, void * to, size_t ne, ggml_type quant) {
|
||||
ggml_quantize_chunk(quant, from, to, 0, 1, ne, nullptr);
|
||||
}
|
||||
|
||||
static void ggml_vk_dequantize_data(const void * from, float * to, size_t ne, ggml_type quant) {
|
||||
if (quant == GGML_TYPE_F32) {
|
||||
memcpy(to, from, sizeof(float) * ne);
|
||||
return;
|
||||
}
|
||||
|
||||
ggml_type_traits_t tt = ggml_internal_get_type_traits(quant);
|
||||
|
||||
ggml_to_float_t dequant_fn = tt.to_float;
|
||||
|
||||
dequant_fn(from, to, ne);
|
||||
}
|
||||
|
||||
static void ggml_vk_test_dequant(ggml_backend_vk_context * ctx, size_t ne, ggml_type quant) {
|
||||
VK_LOG_DEBUG("ggml_vk_test_dequant(" << ne << ")");
|
||||
const size_t x_sz = sizeof(float) * ne;
|
||||
@ -4925,24 +4876,26 @@ static void ggml_vk_test_dequant(ggml_backend_vk_context * ctx, size_t ne, ggml_
|
||||
const size_t qx_sz = ne * ggml_type_size(quant)/ggml_blck_size(quant);
|
||||
float * x = (float *) malloc(x_sz);
|
||||
void * qx = malloc(qx_sz);
|
||||
vk_buffer qx_buf = ggml_vk_create_buffer_check(ctx, qx_sz, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer x_buf = ggml_vk_create_buffer_check(ctx, x_sz_f16, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer qx_buf = ggml_vk_create_buffer_check(ctx->device, qx_sz, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer x_buf = ggml_vk_create_buffer_check(ctx->device, x_sz_f16, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
float * x_ref = (float *) malloc(x_sz);
|
||||
ggml_fp16_t * x_chk = (ggml_fp16_t *) malloc(x_sz_f16);
|
||||
|
||||
for (size_t i = 0; i < ne; i++) {
|
||||
x[i] = rand() / (float)RAND_MAX;
|
||||
}
|
||||
|
||||
vk_pipeline p = ctx->device->pipeline_dequant[quant];
|
||||
vk_pipeline p = ggml_vk_get_to_fp16(ctx, quant);
|
||||
|
||||
ggml_vk_quantize_data(x, qx, ne, quant);
|
||||
ggml_vk_dequantize_data(qx, x_ref, ne, quant);
|
||||
|
||||
ggml_pipeline_allocate_descriptor_sets(ctx, p, 1);
|
||||
ggml_pipeline_allocate_descriptor_sets(ctx->device, p, 1);
|
||||
|
||||
ggml_vk_buffer_write(ctx, qx_buf, 0, qx, qx_sz);
|
||||
ggml_vk_buffer_write(qx_buf, 0, qx, qx_sz);
|
||||
|
||||
vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->compute_queue);
|
||||
ggml_vk_ctx_begin(ctx, subctx);
|
||||
ggml_vk_ctx_begin(ctx->device, subctx);
|
||||
const std::vector<uint32_t> pc = { 1, (uint32_t)ne, (uint32_t)ne, (uint32_t)ne, (uint32_t)ne };
|
||||
ggml_vk_dispatch_pipeline(ctx, subctx, p, { { qx_buf, 0, qx_sz }, { x_buf, 0, x_sz_f16 } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)ne, 1, 1});
|
||||
ggml_vk_ctx_end(subctx);
|
||||
@ -4956,13 +4909,13 @@ static void ggml_vk_test_dequant(ggml_backend_vk_context * ctx, size_t ne, ggml_
|
||||
auto end = std::chrono::high_resolution_clock::now();
|
||||
|
||||
double ms_dequant = std::chrono::duration_cast<std::chrono::microseconds>(end-begin).count() / 1000.0;
|
||||
ggml_vk_buffer_read(ctx, x_buf, 0, x_chk, x_sz_f16);
|
||||
ggml_vk_buffer_read(x_buf, 0, x_chk, x_sz_f16);
|
||||
|
||||
int first_err = -1;
|
||||
|
||||
double avg_err = 0.0;
|
||||
for (size_t i = 0; i < ne; i++) {
|
||||
double error = std::fabs(x[i] - ggml_fp16_to_fp32(x_chk[i]));
|
||||
double error = std::fabs(x_ref[i] - ggml_fp16_to_fp32(x_chk[i]));
|
||||
avg_err += error;
|
||||
|
||||
if (first_err < 0 && error > 0.05) {
|
||||
@ -4982,7 +4935,7 @@ static void ggml_vk_test_dequant(ggml_backend_vk_context * ctx, size_t ne, ggml_
|
||||
}
|
||||
std::cerr << std::endl << "Expected result: " << std::endl << std::endl;
|
||||
for (int i = std::max(0, first_err - 5); i < std::min((int)ne, first_err + 5); i++) {
|
||||
std::cerr << x[i] << ", ";
|
||||
std::cerr << x_ref[i] << ", ";
|
||||
}
|
||||
std::cerr << std::endl;
|
||||
}
|
||||
@ -4992,6 +4945,7 @@ static void ggml_vk_test_dequant(ggml_backend_vk_context * ctx, size_t ne, ggml_
|
||||
|
||||
free(x);
|
||||
free(qx);
|
||||
free(x_ref);
|
||||
free(x_chk);
|
||||
}
|
||||
|
||||
@ -5040,9 +4994,9 @@ static void ggml_vk_test_dequant_matmul(ggml_backend_vk_context * ctx, size_t m,
|
||||
float * x = (float *) malloc(x_sz);
|
||||
float * y = (float *) malloc(y_sz);
|
||||
void * qx = malloc(qx_sz);
|
||||
vk_buffer qx_buf = ggml_vk_create_buffer_check(ctx, qx_sz, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer y_buf = ggml_vk_create_buffer_check(ctx, y_sz, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer d_buf = ggml_vk_create_buffer_check(ctx, d_sz, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer qx_buf = ggml_vk_create_buffer_check(ctx->device, qx_sz, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer y_buf = ggml_vk_create_buffer_check(ctx->device, y_sz, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
vk_buffer d_buf = ggml_vk_create_buffer_check(ctx->device, d_sz, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
float * d = (float *) malloc(d_sz);
|
||||
float * d_chk = (float *) malloc(d_sz);
|
||||
|
||||
@ -5057,25 +5011,25 @@ static void ggml_vk_test_dequant_matmul(ggml_backend_vk_context * ctx, size_t m,
|
||||
y[i] = (i % k == i / k) ? 1.0f : 0.0f;
|
||||
}
|
||||
|
||||
ggml_pipeline_allocate_descriptor_sets(ctx, p, num_it);
|
||||
ggml_pipeline_allocate_descriptor_sets(ctx->device, p, num_it);
|
||||
if (split_k > 1) {
|
||||
ggml_pipeline_allocate_descriptor_sets(ctx, ctx->device->pipeline_matmul_split_k_reduce, num_it);
|
||||
ggml_pipeline_allocate_descriptor_sets(ctx->device, ctx->device->pipeline_matmul_split_k_reduce, num_it);
|
||||
|
||||
if (ctx->prealloc_split_k == nullptr || ctx->prealloc_split_k->size < sizeof(float) * d_ne * split_k) {
|
||||
// Resize buffer
|
||||
if (ctx->prealloc_split_k != nullptr) {
|
||||
ggml_vk_destroy_buffer(ctx->prealloc_split_k);
|
||||
}
|
||||
ctx->prealloc_split_k = ggml_vk_create_buffer_check(ctx, sizeof(float) * d_ne * split_k, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
ctx->prealloc_split_k = ggml_vk_create_buffer_check(ctx->device, sizeof(float) * d_ne * split_k, vk::MemoryPropertyFlagBits::eDeviceLocal);
|
||||
}
|
||||
}
|
||||
|
||||
ggml_vk_buffer_write(ctx, qx_buf, 0, qx, qx_sz);
|
||||
ggml_vk_buffer_write(ctx, y_buf, 0, y, y_sz);
|
||||
ggml_vk_buffer_write(qx_buf, 0, qx, qx_sz);
|
||||
ggml_vk_buffer_write(y_buf, 0, y, y_sz);
|
||||
|
||||
vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->compute_queue);
|
||||
for (size_t i = 0; i < num_it; i++) {
|
||||
ggml_vk_ctx_begin(ctx, subctx);
|
||||
ggml_vk_ctx_begin(ctx->device, subctx);
|
||||
ggml_vk_matmul(
|
||||
ctx, subctx, p, ggml_vk_subbuffer(qx_buf), ggml_vk_subbuffer(y_buf), ggml_vk_subbuffer(d_buf), ggml_vk_subbuffer(ctx->prealloc_split_k),
|
||||
m, n, k,
|
||||
@ -5094,7 +5048,7 @@ static void ggml_vk_test_dequant_matmul(ggml_backend_vk_context * ctx, size_t m,
|
||||
auto end = std::chrono::high_resolution_clock::now();
|
||||
|
||||
double time_ms = std::chrono::duration_cast<std::chrono::microseconds>(end-begin).count() / 1000.0;
|
||||
ggml_vk_buffer_read(ctx, d_buf, 0, d, d_sz);
|
||||
ggml_vk_buffer_read(d_buf, 0, d, d_sz);
|
||||
|
||||
ggml_init_params iparams = {
|
||||
/*.mem_size =*/ 1024*1024*1024,
|
||||
@ -5149,7 +5103,7 @@ static void ggml_vk_test_dequant_matmul(ggml_backend_vk_context * ctx, size_t m,
|
||||
|
||||
if (split_k > 1) {
|
||||
float * split_k_buf = (float *) malloc(sizeof(float) * d_ne * split_k);
|
||||
ggml_vk_buffer_read(ctx, ctx->prealloc_split_k, 0, split_k_buf, sizeof(float) * d_ne * split_k);
|
||||
ggml_vk_buffer_read(ctx->prealloc_split_k, 0, split_k_buf, sizeof(float) * d_ne * split_k);
|
||||
|
||||
std::cerr << "d_buf0: " << std::endl << std::endl;
|
||||
ggml_vk_print_matrix_area(split_k_buf, GGML_TYPE_F32, m, n, first_err_m, first_err_n, first_err_b);
|
||||
@ -5302,12 +5256,9 @@ static void ggml_vk_preallocate_buffers_graph(ggml_backend_vk_context * ctx, ggm
|
||||
|
||||
static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
|
||||
#if defined(GGML_VULKAN_RUN_TESTS)
|
||||
ctx->staging = ggml_vk_create_buffer_check(ctx, 100ul * 1024ul * 1024ul,
|
||||
ctx->staging = ggml_vk_create_buffer_check(ctx->device, 100ul * 1024ul * 1024ul,
|
||||
vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached,
|
||||
vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent);
|
||||
ggml_vk_test_transfer(ctx, 8192 * 1000, false);
|
||||
ggml_vk_test_transfer(ctx, 8192 * 1000, true);
|
||||
|
||||
ggml_vk_test_dequant(ctx, 7680, GGML_TYPE_F32);
|
||||
ggml_vk_test_dequant(ctx, 7680, GGML_TYPE_Q4_0);
|
||||
ggml_vk_test_dequant(ctx, 7680, GGML_TYPE_Q4_1);
|
||||
@ -5319,85 +5270,90 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
|
||||
ggml_vk_test_dequant(ctx, 7680, GGML_TYPE_Q4_K);
|
||||
ggml_vk_test_dequant(ctx, 7680, GGML_TYPE_Q5_K);
|
||||
ggml_vk_test_dequant(ctx, 7680, GGML_TYPE_Q6_K);
|
||||
ggml_vk_test_dequant(ctx, 7680, GGML_TYPE_IQ4_NL);
|
||||
|
||||
ggml_vk_test_matmul<ggml_fp16_t, ggml_fp16_t>(ctx, 512, 512, 100, 32, 100, 1, 2);
|
||||
|
||||
ggml_vk_test_matmul<float, float>(ctx, 128, 512, 512, 2, 100, 1, 0);
|
||||
ggml_vk_test_matmul<float, float>(ctx, 128, 512, 512, 2, 100, 1, 1);
|
||||
ggml_vk_test_matmul<float, float>(ctx, 128, 512, 512, 2, 100, 1, 2);
|
||||
ggml_vk_test_matmul<float, float>(ctx, 128, 512, 512, 2, 100, 4, 0);
|
||||
ggml_vk_test_matmul<float, float>(ctx, 128, 512, 512, 2, 100, 4, 1);
|
||||
ggml_vk_test_matmul<float, float>(ctx, 128, 512, 512, 2, 100, 4, 2);
|
||||
// ggml_vk_test_matmul<float, float>(ctx, 128, 512, 512, 2, 100, 4, 0);
|
||||
// ggml_vk_test_matmul<float, float>(ctx, 128, 512, 512, 2, 100, 4, 1);
|
||||
// ggml_vk_test_matmul<float, float>(ctx, 128, 512, 512, 2, 100, 4, 2);
|
||||
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 0, GGML_TYPE_Q4_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 1, GGML_TYPE_Q4_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 2, GGML_TYPE_Q4_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q4_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q4_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q4_0);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q4_0);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q4_0);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q4_0);
|
||||
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 0, GGML_TYPE_Q4_1);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 1, GGML_TYPE_Q4_1);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 2, GGML_TYPE_Q4_1);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q4_1);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q4_1);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q4_1);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q4_1);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q4_1);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q4_1);
|
||||
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 0, GGML_TYPE_Q5_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 1, GGML_TYPE_Q5_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 2, GGML_TYPE_Q5_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q5_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q5_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q5_0);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q5_0);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q5_0);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q5_0);
|
||||
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 0, GGML_TYPE_Q5_1);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 1, GGML_TYPE_Q5_1);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 2, GGML_TYPE_Q5_1);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q5_1);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q5_1);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q5_1);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q5_1);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q5_1);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q5_1);
|
||||
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 0, GGML_TYPE_Q8_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 1, GGML_TYPE_Q8_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 2, GGML_TYPE_Q8_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q8_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q8_0);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q8_0);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q8_0);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q8_0);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q8_0);
|
||||
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 0, GGML_TYPE_Q2_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 1, GGML_TYPE_Q2_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 2, GGML_TYPE_Q2_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q2_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q2_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q2_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q2_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q2_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q2_K);
|
||||
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 0, GGML_TYPE_Q3_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 1, GGML_TYPE_Q3_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 2, GGML_TYPE_Q3_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q3_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q3_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q3_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q3_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q3_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q3_K);
|
||||
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 0, GGML_TYPE_Q4_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 1, GGML_TYPE_Q4_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 2, GGML_TYPE_Q4_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q4_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q4_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q4_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q4_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q4_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q4_K);
|
||||
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 0, GGML_TYPE_Q5_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 1, GGML_TYPE_Q5_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 2, GGML_TYPE_Q5_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q5_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q5_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q5_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q5_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q5_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q5_K);
|
||||
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 0, GGML_TYPE_Q6_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 1, GGML_TYPE_Q6_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 2, GGML_TYPE_Q6_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q6_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q6_K);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q6_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 0, GGML_TYPE_Q6_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 1, GGML_TYPE_Q6_K);
|
||||
// ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 4, 2, GGML_TYPE_Q6_K);
|
||||
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 0, GGML_TYPE_IQ4_NL);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 1, GGML_TYPE_IQ4_NL);
|
||||
ggml_vk_test_dequant_matmul(ctx, 128, 512, 512, 2, 100, 1, 2, GGML_TYPE_IQ4_NL);
|
||||
|
||||
std::cerr << std::endl;
|
||||
|
||||
@ -5429,9 +5385,9 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
|
||||
ggml_vk_test_matmul<ggml_fp16_t, float>(ctx, vals[i], vals[i + 1], vals[i + 2], 2, num_it, 1, 0);
|
||||
ggml_vk_test_matmul<ggml_fp16_t, float>(ctx, vals[i], vals[i + 1], vals[i + 2], 2, num_it, 1, 1);
|
||||
ggml_vk_test_matmul<ggml_fp16_t, float>(ctx, vals[i], vals[i + 1], vals[i + 2], 2, num_it, 1, 2);
|
||||
ggml_vk_test_matmul<ggml_fp16_t, float>(ctx, vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 0);
|
||||
ggml_vk_test_matmul<ggml_fp16_t, float>(ctx, vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 1);
|
||||
ggml_vk_test_matmul<ggml_fp16_t, float>(ctx, vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 2);
|
||||
// ggml_vk_test_matmul<ggml_fp16_t, float>(ctx, vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 0);
|
||||
// ggml_vk_test_matmul<ggml_fp16_t, float>(ctx, vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 1);
|
||||
// ggml_vk_test_matmul<ggml_fp16_t, float>(ctx, vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 2);
|
||||
std::cerr << std::endl;
|
||||
}
|
||||
|
||||
@ -6263,6 +6219,7 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const
|
||||
case GGML_TYPE_Q4_K:
|
||||
case GGML_TYPE_Q5_K:
|
||||
case GGML_TYPE_Q6_K:
|
||||
case GGML_TYPE_IQ4_NL:
|
||||
break;
|
||||
default:
|
||||
return false;
|
||||
@ -6291,6 +6248,7 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const
|
||||
case GGML_TYPE_Q5_0:
|
||||
case GGML_TYPE_Q5_1:
|
||||
case GGML_TYPE_Q8_0:
|
||||
case GGML_TYPE_IQ4_NL:
|
||||
return true;
|
||||
default:
|
||||
return false;
|
||||
|
||||
@ -58,3 +58,11 @@ vec2 dequantize(uint ib, uint iqs, uint a_offset) {
|
||||
return vec2(int(data_a[a_offset + ib].qs[iqs]), int(data_a[a_offset + ib].qs[iqs + 1])) * d;
|
||||
}
|
||||
#endif
|
||||
|
||||
#if defined(DATA_A_IQ4_NL)
|
||||
vec2 dequantize(uint ib, uint iqs, uint a_offset) {
|
||||
const float d = float(data_a[a_offset + ib].d);
|
||||
const uint vui = uint(data_a[a_offset + ib].qs[iqs]);
|
||||
return vec2(kvalues_iq4nl[vui & 0xF], kvalues_iq4nl[vui >> 4]) * d;
|
||||
}
|
||||
#endif
|
||||
|
||||
30
ggml/src/vulkan-shaders/dequant_iq4_nl.comp
Normal file
30
ggml/src/vulkan-shaders/dequant_iq4_nl.comp
Normal file
@ -0,0 +1,30 @@
|
||||
#version 450
|
||||
|
||||
#include "dequant_head.comp"
|
||||
|
||||
layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
|
||||
|
||||
layout (binding = 0) readonly buffer A {block_iq4_nl data_a[];};
|
||||
layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
|
||||
|
||||
void main() {
|
||||
const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
|
||||
|
||||
const uint tid = gl_LocalInvocationID.x % 64;
|
||||
const uint il = tid/32;
|
||||
const uint ir = tid%32;
|
||||
const uint ib = 32*i + ir;
|
||||
if (ib >= p.nel / 32) {
|
||||
return;
|
||||
}
|
||||
|
||||
const uint q_idx = 8*il;
|
||||
const uint b_idx = 1024*i + 32*ir + q_idx;
|
||||
|
||||
const float d = float(data_a[ib].d);
|
||||
|
||||
[[unroll]] for (uint l = 0; l < 8; ++l) {
|
||||
data_b[b_idx + l + 0] = D_TYPE(d * kvalues_iq4nl[data_a[ib].qs[q_idx + l] & 0xF]);
|
||||
data_b[b_idx + l + 16] = D_TYPE(d * kvalues_iq4nl[data_a[ib].qs[q_idx + l] >> 4]);
|
||||
}
|
||||
}
|
||||
@ -18,15 +18,13 @@ void main() {
|
||||
return;
|
||||
}
|
||||
|
||||
const uint b_idx = 1024*i + 32*ir + 8*il;
|
||||
const uint q_idx = 8*il;
|
||||
const uint b_idx = 1024*i + 32*ir + q_idx;
|
||||
|
||||
const float d = float(data_a[ib].d);
|
||||
const float dm = -8.0f * d;
|
||||
|
||||
const uint q_idx = 8*il;
|
||||
|
||||
[[unroll]] for (uint l = 0; l < 8; ++l) {
|
||||
data_b[b_idx + l + 0] = D_TYPE(d * (data_a[ib].qs[q_idx + l] & 0xF) + dm);
|
||||
data_b[b_idx + l + 16] = D_TYPE(d * (data_a[ib].qs[q_idx + l] >> 4) + dm);
|
||||
data_b[b_idx + l + 0] = D_TYPE(d * ((data_a[ib].qs[q_idx + l] & 0xF) - 8.0f));
|
||||
data_b[b_idx + l + 16] = D_TYPE(d * ((data_a[ib].qs[q_idx + l] >> 4) - 8.0f));
|
||||
}
|
||||
}
|
||||
|
||||
@ -71,7 +71,7 @@ shared FLOAT_TYPE buf_a[BM * (BK+1)];
|
||||
shared FLOAT_TYPE buf_b[BN * (BK+1)];
|
||||
|
||||
#ifdef MUL_MAT_ID
|
||||
shared u16vec2 row_ids[2048];
|
||||
shared u16vec2 row_ids[3072];
|
||||
#endif
|
||||
|
||||
void main() {
|
||||
@ -380,6 +380,19 @@ void main() {
|
||||
|
||||
buf_a[buf_idx ] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi ] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi ] >> qhshift) & 3) << 4)) - 32));
|
||||
buf_a[buf_idx + 1] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi + 1] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi + 1] >> qhshift) & 3) << 4)) - 32));
|
||||
#elif defined(DATA_A_IQ4_NL)
|
||||
const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
|
||||
const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a;
|
||||
|
||||
const uint ib = idx / 16;
|
||||
const uint iqs = idx & 0xF;
|
||||
|
||||
const float d = float(data_a[ib].d);
|
||||
const uint vui = uint(data_a[ib].qs[iqs]);
|
||||
const vec2 v = vec2(kvalues_iq4nl[vui & 0xF], kvalues_iq4nl[vui >> 4]) * d;
|
||||
|
||||
buf_a[buf_idx ] = FLOAT_TYPE(v.x);
|
||||
buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);
|
||||
#endif
|
||||
}
|
||||
[[unroll]] for (uint l = 0; l < BN; l += loadstride_b) {
|
||||
|
||||
@ -177,3 +177,24 @@ struct block_q6_K
|
||||
|
||||
#define A_TYPE block_q6_K
|
||||
#endif
|
||||
|
||||
// IQuants
|
||||
|
||||
#if defined(DATA_A_IQ4_NL)
|
||||
#extension GL_EXT_shader_16bit_storage : require
|
||||
#define QUANT_K 32
|
||||
#define QUANT_R 2
|
||||
|
||||
struct block_iq4_nl
|
||||
{
|
||||
float16_t d;
|
||||
uint8_t qs[QUANT_K/2];
|
||||
};
|
||||
|
||||
#define A_TYPE block_iq4_nl
|
||||
|
||||
const int8_t kvalues_iq4nl[16] = {
|
||||
int8_t(-127), int8_t(-104), int8_t(-83), int8_t(-65), int8_t(-49), int8_t(-35), int8_t(-22), int8_t(-10),
|
||||
int8_t(1), int8_t(13), int8_t(25), int8_t(38), int8_t(53), int8_t(69), int8_t(89), int8_t(113)
|
||||
};
|
||||
#endif
|
||||
|
||||
@ -52,7 +52,8 @@ const std::vector<std::string> type_names = {
|
||||
"q3_k",
|
||||
"q4_k",
|
||||
"q5_k",
|
||||
"q6_k"
|
||||
"q6_k",
|
||||
"iq4_nl"
|
||||
};
|
||||
|
||||
void execute_command(const std::string& command, std::string& stdout_str, std::string& stderr_str) {
|
||||
|
||||
Loading…
Reference in New Issue
Block a user