[Kernel][Quantization][MoE] add marlin kernel support for turing (sm75) (#29901)
Signed-off-by: Jinzhen Lin <jinzhen.ljz@antgroup.com> Co-authored-by: Michael Goin <mgoin64@gmail.com>
This commit is contained in:
@@ -10,6 +10,8 @@ import jinja2
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ARCHS = []
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SUPPORT_FP8 = False
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SUPPORT_SM75 = False
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SUPPORT_SM80 = False
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for arch in sys.argv[1].split(","):
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arch = arch[: arch.index(".") + 2].replace(".", "")
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arch = int(arch)
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@@ -19,6 +21,10 @@ for arch in sys.argv[1].split(","):
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# with FP16 MMA, so it cannot achieve any acceleration.
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if arch in [89, 120]:
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SUPPORT_FP8 = True
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if arch >= 80:
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SUPPORT_SM80 = True
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if arch == 75:
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SUPPORT_SM75 = True
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FILE_HEAD_COMMENT = """
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// auto generated by generate_kernels.py
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@@ -166,6 +172,7 @@ def remove_old_kernels():
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def generate_new_kernels():
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result_dict = {}
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sm_75_result_dict = {}
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for quant_config in QUANT_CONFIGS:
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c_types = quant_config.get("c_type", ["kFloat16", "kBFloat16"])
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@@ -184,6 +191,8 @@ def generate_new_kernels():
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s_type = quant_config.get("s_type", c_type)
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if (a_type, b_type, c_type) not in result_dict:
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result_dict[(a_type, b_type, c_type)] = []
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if a_type in ["kFloat16", "kS8"] and c_type == "kFloat16":
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sm_75_result_dict[(a_type, b_type, c_type)] = []
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for group_blocks, m_blocks, thread_configs in itertools.product(
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all_group_blocks, all_m_blocks, all_thread_configs
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@@ -207,78 +216,89 @@ def generate_new_kernels():
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"thread_k_blocks": thread_k // 16,
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"thread_n_blocks": thread_n // 16,
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"m_block_size_8": "true" if m_blocks == 0.5 else "false",
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"stages": "pipe_stages",
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"stages": 4,
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"group_blocks": group_blocks,
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"is_zp_float": "true" if is_zp_float else "false",
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}
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result_dict[(a_type, b_type, c_type)].append(config)
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if SUPPORT_SM80:
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result_dict[(a_type, b_type, c_type)].append(config)
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if (a_type, b_type, c_type) in sm_75_result_dict and SUPPORT_SM75:
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config_sm75 = config.copy()
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config_sm75["stages"] = 2
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sm_75_result_dict[(a_type, b_type, c_type)].append(config_sm75)
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kernel_selector_str = FILE_HEAD_COMMENT
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for (a_type, b_type, c_type), config_list in result_dict.items():
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all_template_str_list = []
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for config in config_list:
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s_type = config["s_type"]
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template_str = jinja2.Template(TEMPLATE).render(
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a_type_id=f"vllm::{a_type}.id()",
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b_type_id=f"vllm::{b_type}.id()",
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c_type_id=f"vllm::{c_type}.id()",
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s_type_id=f"vllm::{s_type}.id()",
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**config,
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)
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all_template_str_list.append(template_str)
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conditions = [
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f"a_type == vllm::{a_type}",
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f"b_type == vllm::{b_type}",
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f"c_type == vllm::{c_type}",
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f"s_type == vllm::{s_type}",
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f"threads == {config['threads']}",
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f"thread_m_blocks == {config['thread_m_blocks']}",
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f"thread_n_blocks == {config['thread_n_blocks']}",
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f"thread_k_blocks == {config['thread_k_blocks']}",
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f"m_block_size_8 == {config['m_block_size_8']}",
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f"group_blocks == {config['group_blocks']}",
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f"is_zp_float == {config['is_zp_float']}",
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]
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conditions = " && ".join(conditions)
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if kernel_selector_str == FILE_HEAD_COMMENT:
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kernel_selector_str += f"if ({conditions})\n kernel = "
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else:
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kernel_selector_str += f"else if ({conditions})\n kernel = "
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kernel_template2 = (
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"Marlin<{{a_type_id}}, {{b_type_id}}, {{c_type_id}}, "
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"{{s_type_id}}, {{threads}}, {{thread_m_blocks}}, "
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"{{thread_n_blocks}}, {{thread_k_blocks}}, "
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"{{m_block_size_8}}, {{stages}}, {{group_blocks}}, "
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"{{is_zp_float}}>;"
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)
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kernel_selector_str += (
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jinja2.Template(kernel_template2).render(
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for result_dict_tmp in [result_dict, sm_75_result_dict]:
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for (a_type, b_type, c_type), config_list in result_dict_tmp.items():
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all_template_str_list = []
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if not config_list:
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continue
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for config in config_list:
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s_type = config["s_type"]
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template_str = jinja2.Template(TEMPLATE).render(
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a_type_id=f"vllm::{a_type}.id()",
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b_type_id=f"vllm::{b_type}.id()",
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c_type_id=f"vllm::{c_type}.id()",
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s_type_id=f"vllm::{s_type}.id()",
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**config,
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)
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+ "\n"
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)
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all_template_str_list.append(template_str)
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file_content = FILE_HEAD + "\n\n"
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file_content += "\n\n".join(all_template_str_list) + "\n\n}\n"
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if a_type == "kFE4M3fn":
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filename = f"sm89_kernel_{a_type[1:]}_{b_type[1:]}_{c_type[1:]}.cu"
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else:
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filename = f"sm80_kernel_{a_type[1:]}_{b_type[1:]}_{c_type[1:]}.cu"
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conditions = [
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f"a_type == vllm::{a_type}",
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f"b_type == vllm::{b_type}",
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f"c_type == vllm::{c_type}",
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f"s_type == vllm::{s_type}",
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f"threads == {config['threads']}",
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f"thread_m_blocks == {config['thread_m_blocks']}",
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f"thread_n_blocks == {config['thread_n_blocks']}",
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f"thread_k_blocks == {config['thread_k_blocks']}",
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f"m_block_size_8 == {config['m_block_size_8']}",
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f"stages == {config['stages']}",
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f"group_blocks == {config['group_blocks']}",
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f"is_zp_float == {config['is_zp_float']}",
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]
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conditions = " && ".join(conditions)
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filename = filename.lower()
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if kernel_selector_str == FILE_HEAD_COMMENT:
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kernel_selector_str += f"if ({conditions})\n kernel = "
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else:
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kernel_selector_str += f"else if ({conditions})\n kernel = "
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with open(os.path.join(os.path.dirname(__file__), filename), "w") as f:
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f.write(file_content)
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kernel_template2 = (
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"Marlin<{{a_type_id}}, {{b_type_id}}, {{c_type_id}}, "
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"{{s_type_id}}, {{threads}}, {{thread_m_blocks}}, "
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"{{thread_n_blocks}}, {{thread_k_blocks}}, "
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"{{m_block_size_8}}, {{stages}}, {{group_blocks}}, "
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"{{is_zp_float}}>;"
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)
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kernel_selector_str += (
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jinja2.Template(kernel_template2).render(
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a_type_id=f"vllm::{a_type}.id()",
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b_type_id=f"vllm::{b_type}.id()",
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c_type_id=f"vllm::{c_type}.id()",
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s_type_id=f"vllm::{s_type}.id()",
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**config,
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)
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+ "\n"
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)
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file_content = FILE_HEAD + "\n\n"
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file_content += "\n\n".join(all_template_str_list) + "\n\n}\n"
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if a_type == "kFE4M3fn":
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filename = f"sm89_kernel_{a_type[1:]}_{b_type[1:]}_{c_type[1:]}.cu"
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elif result_dict_tmp is sm_75_result_dict:
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filename = f"sm75_kernel_{a_type[1:]}_{b_type[1:]}_{c_type[1:]}.cu"
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else:
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filename = f"sm80_kernel_{a_type[1:]}_{b_type[1:]}_{c_type[1:]}.cu"
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filename = filename.lower()
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with open(os.path.join(os.path.dirname(__file__), filename), "w") as f:
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f.write(file_content)
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if not SUPPORT_FP8 and kernel_selector_str != FILE_HEAD_COMMENT:
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kernel_selector_str += (
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