#!/usr/bin/env python import logging import argparse import asyncio import os from tempfile import gettempdir logger = logging.getLogger("ggml-vk-generate-shaders") GLSLC = "glslc" type_names = [ "f32", "f16", "q4_0", "q4_1", "q5_0", "q5_1", "q8_0", "q2_k", "q3_k", "q4_k", "q5_k", "q6_k", ] ASYNCIO_CONCURRENCY = 64 input_dir = "vulkan-shaders" output_dir = gettempdir() lock = asyncio.Lock() shader_fnames = [] async def string_to_spv(name, in_fname, defines, fp16=True): name = f"{name}{'_fp32' if not fp16 else ''}" out_fname = os.path.join(output_dir, f"{name}.spv") in_path = os.path.join(input_dir, in_fname) cmd = [GLSLC, "-fshader-stage=compute", "--target-env=vulkan1.2", "-O", in_path, "-o", out_fname] cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) proc = await asyncio.create_subprocess_exec(*cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE) stdout, stderr = await proc.communicate() stdout = stdout.decode() error = stderr.decode() if proc.returncode: cmd = " ".join(cmd) logger.error(f"cannot compile {name}\n\n{cmd}\n\n{error}") return async with lock: shader_fnames.append((name, out_fname)) def matmul_shaders(tasks, fp16, matmul_id): if fp16: load_vec = "8" aligned_b_type_f32 = "mat2x4" aligned_b_type_f16 = "f16mat2x4" else: load_vec = "4" aligned_b_type_f32 = "vec4" aligned_b_type_f16 = "f16vec4" base_dict = {"FLOAT_TYPE": "float" if not fp16 else "float16_t"} shader_name = "matmul" if matmul_id: base_dict["MUL_MAT_ID"] = "1" shader_name = "matmul_id" if fp16: base_dict["FLOAT16"] = "1" # Shaders with f16 B_TYPE tasks.append(string_to_spv(f"{shader_name}_f32_f16", "mul_mm.comp", base_dict | {"DATA_A_F32": "1", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) tasks.append(string_to_spv(f"{shader_name}_f32_f16_aligned", "mul_mm.comp", base_dict | {"DATA_A_F32": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "B_TYPE": aligned_b_type_f16, "D_TYPE": "float"}, fp16)) tasks.append(string_to_spv(f"{shader_name}_f16", "mul_mm.comp", base_dict | {"DATA_A_F16": "1", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) tasks.append(string_to_spv(f"{shader_name}_f16_aligned", "mul_mm.comp", base_dict | {"DATA_A_F16": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "B_TYPE": aligned_b_type_f16, "D_TYPE": "float"}, fp16)) for tname in type_names: data_a_key = f"DATA_A_{tname.upper()}" load_vec_a = load_vec if tname in ("f32", "f16") else "2" tasks.append(string_to_spv(f"{shader_name}_{tname}_f32", "mul_mm.comp", base_dict | {data_a_key: "1", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) tasks.append(string_to_spv(f"{shader_name}_{tname}_f32_aligned", "mul_mm.comp", base_dict | {data_a_key: "2", "LOAD_VEC_A": load_vec_a, "LOAD_VEC_B": load_vec, "B_TYPE": aligned_b_type_f32, "D_TYPE": "float"}, fp16)) async def main(): logger.info("ggml_vulkan: Generating and compiling shaders to SPIR-V") tasks = [] base_dict = {"FLOAT_TYPE": "float"} for fp16 in (False, True): # MUL_MAT matmul_shaders(tasks, fp16, False) # MUL_MAT_ID matmul_shaders(tasks, fp16, True) for tname in type_names: # mul mat vec data_a_key = f"DATA_A_{tname.upper()}" shader = f"mul_mat_vec_{tname}.comp" if tname.endswith("_k") else "mul_mat_vec.comp" tasks.append(string_to_spv(f"mul_mat_vec_{tname}_f32_f32", shader, base_dict | {data_a_key: "1", "B_TYPE": "float", "D_TYPE": "float"})) tasks.append(string_to_spv(f"mul_mat_vec_{tname}_f16_f32", shader, base_dict | {data_a_key: "1", "B_TYPE": "float16_t", "D_TYPE": "float"})) tasks.append(string_to_spv(f"mul_mat_vec_id_{tname}_f32", shader, base_dict | {"MUL_MAT_ID": "1", data_a_key: "1", "B_TYPE": "float", "D_TYPE": "float"})) # Dequant shaders if tname != "f16": tasks.append(string_to_spv(f"dequant_{tname}", f"dequant_{tname}.comp", base_dict | {data_a_key: "1", "D_TYPE": "float16_t"})) # get_rows if not tname.endswith("_k"): shader = "get_rows.comp" if tname in ("f32", "f16") else "get_rows_quant.comp" if tname == "f16": tasks.append(string_to_spv(f"get_rows_{tname}", shader, {data_a_key: "1", "B_TYPE": "int", "D_TYPE": "float16_t", "OPTIMIZATION_ERROR_WORKAROUND": "1"})) else: tasks.append(string_to_spv(f"get_rows_{tname}", shader, {data_a_key: "1", "B_TYPE": "int", "D_TYPE": "float16_t"})) tasks.append(string_to_spv(f"get_rows_{tname}_f32", shader, {data_a_key: "1", "B_TYPE": "int", "D_TYPE": "float"})) tasks.append(string_to_spv("mul_mat_vec_p021_f16_f32", "mul_mat_vec_p021.comp", {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"})) tasks.append(string_to_spv("mul_mat_vec_nc_f16_f32", "mul_mat_vec_nc.comp", {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"})) # Norms tasks.append(string_to_spv("norm_f32", "norm.comp", base_dict | {"A_TYPE": "float", "D_TYPE": "float"})) tasks.append(string_to_spv("rms_norm_f32", "rms_norm.comp", base_dict | {"A_TYPE": "float", "D_TYPE": "float"})) tasks.append(string_to_spv("cpy_f32_f32", "copy.comp", {"A_TYPE": "float", "D_TYPE": "float"})) tasks.append(string_to_spv("cpy_f32_f16", "copy.comp", {"A_TYPE": "float", "D_TYPE": "float16_t"})) tasks.append(string_to_spv("cpy_f16_f16", "copy.comp", {"A_TYPE": "float16_t", "D_TYPE": "float16_t", "OPTIMIZATION_ERROR_WORKAROUND": "1"})) tasks.append(string_to_spv("add_f32", "add.comp", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) tasks.append(string_to_spv("split_k_reduce", "mul_mat_split_k_reduce.comp", {})) tasks.append(string_to_spv("mul_f32", "mul.comp", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) tasks.append(string_to_spv("div_f32", "div.comp", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) tasks.append(string_to_spv("scale_f32", "scale.comp", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) tasks.append(string_to_spv("sqr_f32", "square.comp", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) tasks.append(string_to_spv("clamp_f32", "clamp.comp", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) tasks.append(string_to_spv("gelu_f32", "gelu.comp", {"A_TYPE": "float", "D_TYPE": "float"})) tasks.append(string_to_spv("silu_f32", "silu.comp", {"A_TYPE": "float", "D_TYPE": "float"})) tasks.append(string_to_spv("relu_f32", "relu.comp", {"A_TYPE": "float", "D_TYPE": "float"})) tasks.append(string_to_spv("diag_mask_inf_f32", "diag_mask_inf.comp", {"A_TYPE": "float", "D_TYPE": "float"})) tasks.append(string_to_spv("soft_max_f32", "soft_max.comp", base_dict | {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"})) tasks.append(string_to_spv("soft_max_f32_f16", "soft_max.comp", base_dict | {"A_TYPE": "float", "B_TYPE": "float16_t", "D_TYPE": "float"})) tasks.append(string_to_spv("rope_norm_f32", "rope_norm.comp", {"A_TYPE": "float", "D_TYPE": "float"})) tasks.append(string_to_spv("rope_norm_f16", "rope_norm.comp", {"A_TYPE": "float16_t", "D_TYPE": "float16_t"})) tasks.append(string_to_spv("rope_neox_f32", "rope_neox.comp", {"A_TYPE": "float", "D_TYPE": "float"})) tasks.append(string_to_spv("rope_neox_f16", "rope_neox.comp", {"A_TYPE": "float16_t", "D_TYPE": "float16_t"})) tasks.append(string_to_spv("argsort_f32", "argsort.comp", {"A_TYPE": "float"})) tasks.append(string_to_spv("sum_rows_f32", "sum_rows.comp", base_dict | {"A_TYPE": "float", "D_TYPE": "float"})) # Helper to decorate tasks with semaphore acquisition. async def withSemaphore(sem, task): async with sem: return await task # Run tasks concurrently guarded by a concurrency limit. sem = asyncio.Semaphore(ASYNCIO_CONCURRENCY) await asyncio.gather(*(withSemaphore(sem, task) for task in tasks)) with open("ggml-vulkan-shaders.hpp", "w") as f: f.write("#include \n\n") for name, path in sorted(shader_fnames): with open(path, "rb") as spv: counter = 0 newline_counter = 0 f.write(f"unsigned char {name}_data[] = {{\n") for val in spv.read(): f.write(f"0x{val:02x},") newline_counter += 1 counter += 1 if newline_counter >= 12: newline_counter = 0 f.write("\n") f.write("\n};\n") f.write(f"const uint64_t {name}_len = {counter};\n\n") os.remove(path) if __name__ == "__main__": parser = argparse.ArgumentParser(description="GGML Vulkan Shader Generator") parser.add_argument("--glslc", help="Path to glslc") parser.add_argument("--verbose", action="store_true", help="increase output verbosity") args = parser.parse_args() logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO) if args.glslc: GLSLC = args.glslc asyncio.run(main())