#!/usr/bin/env python # Copyright 2019 Google LLC # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. import argparse import bisect import codecs import os import sys import yaml sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) from primes import next_prime import xngen import xnncommon parser = argparse.ArgumentParser(description='XNNPACK generator') parser.add_argument("-s", "--spec", metavar="FILE", required=True, help="Spec (YAML) file") parser.add_argument("-o", "--output", metavar="FILE", required=True, help='Output (C++ source) file') parser.set_defaults(defines=list()) def split_ukernel_name(name): common_name, target_name = name.split("__", 1) common_parts = common_name.split("_") param_spec = common_parts[-1] mr, nr = map(int, param_spec.split("x")) arch, isa, assembly = xnncommon.parse_target_name(target_name) return mr, nr, arch, isa TEST_TEMPLATE = """\ TEST(${TEST_NAME}, k_eq_${KBLOCK}) { $if ISA_CHECK: ${ISA_CHECK}; SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR}) .n(${NR}) .k(${KBLOCK}) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } $if NR > 1: TEST(${TEST_NAME}, k_eq_${KBLOCK}_subtile) { $if ISA_CHECK: ${ISA_CHECK}; for (uint32_t n = 1; n <= ${NR}; n++) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR}) .n(n) .k(${KBLOCK}) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } $if IS_PIPELINED: TEST(${TEST_NAME}, k_eq_${KBLOCK * 2}) { $if ISA_CHECK: ${ISA_CHECK}; SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR}) .n(${NR}) .k(${KBLOCK * 2}) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } $if NR > 1: TEST(${TEST_NAME}, k_eq_${KBLOCK * 2}_subtile) { $if ISA_CHECK: ${ISA_CHECK}; for (uint32_t n = 1; n <= ${NR}; n++) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR}) .n(n) .k(${KBLOCK * 2}) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } $if KBLOCK > 1: TEST(${TEST_NAME}, k_lt_${ADJKBLOCK}) { $if ISA_CHECK: ${ISA_CHECK}; for (size_t k = 1; k < ${ADJKBLOCK}; k++) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR}) .n(${NR}) .k(k) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } $if NR > 1: TEST(${TEST_NAME}, k_lt_${ADJKBLOCK}_subtile) { $if ISA_CHECK: ${ISA_CHECK}; for (size_t k = 1; k < ${ADJKBLOCK}; k++) { for (uint32_t n = 1; n <= ${NR}; n++) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR}) .n(n) .k(k) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } } TEST(${TEST_NAME}, k_gt_${ADJKBLOCK}) { $if ISA_CHECK: ${ISA_CHECK}; for (size_t k = ${ADJKBLOCK + 1}; k < ${KBLOCK * 10 if KBLOCK == 1 else KBLOCK * 2}; k++) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR}) .n(${NR}) .k(k) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } $if NR > 1: TEST(${TEST_NAME}, k_gt_${KBLOCK}_subtile) { $if ISA_CHECK: ${ISA_CHECK}; for (size_t k = ${ADJKBLOCK + 1}; k < ${10 if KBLOCK == 1 else KBLOCK * 2}; k++) { for (uint32_t n = 1; n <= ${NR}; n++) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR}) .n(n) .k(k) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } } $if KBLOCK > 1: TEST(${TEST_NAME}, k_div_${KBLOCK}) { $if ISA_CHECK: ${ISA_CHECK}; for (size_t k = ${ADJKBLOCK + KBLOCK}; k <= ${KBLOCK * 10}; k += ${KBLOCK}) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR}) .n(${NR}) .k(k) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } $if NR > 1: TEST(${TEST_NAME}, k_div_${KBLOCK}_subtile) { $if ISA_CHECK: ${ISA_CHECK}; for (size_t k = ${ADJKBLOCK + KBLOCK}; k <= ${KBLOCK * 10}; k += ${KBLOCK}) { for (uint32_t n = 1; n <= ${NR}; n++) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR}) .n(n) .k(k) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } } TEST(${TEST_NAME}, n_gt_${NR}) { $if ISA_CHECK: ${ISA_CHECK}; for (uint32_t n = ${NR + 1}; n < ${max(10, NR * 2)}; n++) { for (size_t k = 1; k <= ${KBLOCK * 5}; k += ${KBLOCK + 1}) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR}) .n(n) .k(k) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } } $if NR > 1: TEST(${TEST_NAME}, n_div_${NR}) { $if ISA_CHECK: ${ISA_CHECK}; for (uint32_t n = ${2 * NR}; n <= ${3 * NR}; n += ${NR}) { for (size_t k = 1; k <= ${KBLOCK * 5}; k += ${KBLOCK + 1}) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR}) .n(n) .k(k) .Test(${", ".join(TEST_ARGS)}); } } } TEST(${TEST_NAME}, m_lt_${MR}) { $if ISA_CHECK: ${ISA_CHECK}; for (uint32_t m = ${1}; m < ${MR}; m++) { for (uint32_t n = 1; n < ${max(10, NR * 5)}; n += ${NR + 1}) { for (size_t k = 1; k <= ${KBLOCK * 5}; k += ${KBLOCK + 1}) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(m) .n(n) .k(k) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } } } TEST(${TEST_NAME}, m_div_${MR}) { $if ISA_CHECK: ${ISA_CHECK}; for (uint32_t m = ${MR * 2}; m <= ${MR * 3}; m += ${MR}) { for (uint32_t n = 1; n < ${max(10, NR * 5)}; n += ${NR + 1}) { for (size_t k = 1; k <= ${KBLOCK * 5}; k += ${KBLOCK + 1}) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(m) .n(n) .k(k) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } } } TEST(${TEST_NAME}, m_gt_${MR}) { $if ISA_CHECK: ${ISA_CHECK}; for (uint32_t m = ${MR + 1}; m < ${MR * 2}; m++) { for (uint32_t n = 1; n < ${max(10, NR * 5)}; n += ${NR + 1}) { for (size_t k = 1; k <= ${KBLOCK * 5}; k += ${KBLOCK + 1}) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(m) .n(n) .k(k) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } } } TEST(${TEST_NAME}, output_stride) { $if ISA_CHECK: ${ISA_CHECK}; for (uint32_t n = 1; n < ${max(10, NR * 5)}; n += ${NR + 1}) { for (size_t k = 1; k <= ${KBLOCK * 5}; k += ${KBLOCK + 1}) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR * 2}) .n(n) .k(k) .output_stride(${next_prime(MR * 2 + 1)}) .sparsity(0.0f) .Test(${", ".join(TEST_ARGS)}); } } } TEST(${TEST_NAME}, qmin) { $if ISA_CHECK: ${ISA_CHECK}; for (uint32_t n = 1; n < ${max(10, NR * 5)}; n += ${NR + 1}) { for (size_t k = 1; k <= ${KBLOCK * 5}; k += ${KBLOCK + 1}) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR * 2}) .n(n) .k(k) .sparsity(0.0f) .qmin(128) .Test(${", ".join(TEST_ARGS)}); } } } TEST(${TEST_NAME}, qmax) { $if ISA_CHECK: ${ISA_CHECK}; for (uint32_t n = 1; n < ${max(10, NR * 5)}; n += ${NR + 1}) { for (size_t k = 1; k <= ${KBLOCK * 5}; k += ${KBLOCK + 1}) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR * 2}) .n(n) .k(k) .sparsity(0.0f) .qmax(128) .Test(${", ".join(TEST_ARGS)}); } } } TEST(${TEST_NAME}, half_sparse) { $if ISA_CHECK: ${ISA_CHECK}; for (uint32_t n = 1; n < ${max(10, NR * 5)}; n += ${NR + 1}) { for (size_t k = 1; k <= ${KBLOCK * 5}; k += ${KBLOCK + 1}) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR * 2}) .n(n) .k(k) .sparsity(0.5f) .Test(${", ".join(TEST_ARGS)}); } } } TEST(${TEST_NAME}, zero_weights) { $if ISA_CHECK: ${ISA_CHECK}; for (uint32_t n = 1; n < ${max(10, NR * 5)}; n += ${NR + 1}) { for (size_t k = 1; k <= ${KBLOCK * 5}; k += ${KBLOCK + 1}) { SpMMMicrokernelTester() .mr(${MR}) .nr(${NR}) .m(${MR * 2}) .n(n) .k(k) .sparsity(1.0f) .Test(${", ".join(TEST_ARGS)}); } } } """ def generate_test_cases(ukernel, init_fn, mr, nr, k_block, is_pipelined, isa): """Generates all tests cases for a GEMM micro-kernel. Args: ukernel: C name of the micro-kernel function. init_fn: C name of the function to initialize microkernel parameters. mr: MR parameter of the GEMM micro-kernel. nr: NR parameter of the GEMM micro-kernel. k_block: Number of K values processed per one iteration of the main loop of the micro-kernel. is_pipelined: Indicates if the micro-kernel is implemented with software pipelining. Additional test cases are generated for software pipelined micro-kernels to separately test prologue + epiloque of the pipelined loop and iteration of the pipelined loop. isa: instruction set required to run the micro-kernel. Generated unit test will skip execution if the host processor doesn't support this ISA. Returns: Code for the test case. """ _, test_name = ukernel.split("_", 1) _, datatype, ukernel_type, _ = ukernel.split("_", 3) test_args = [ukernel, init_fn] return xngen.preprocess(TEST_TEMPLATE, { "TEST_NAME": test_name.upper().replace("UKERNEL_", ""), "TEST_ARGS": test_args, "UKERNEL_TYPE": ukernel_type.upper(), "DATATYPE": datatype, "MR": mr, "NR": nr, "KBLOCK": k_block, "ADJKBLOCK": 2 * k_block if is_pipelined else k_block, "IS_PIPELINED": is_pipelined, "ISA_CHECK": xnncommon.generate_isa_check_macro(isa), "next_prime": next_prime, }) def main(args): options = parser.parse_args(args) with codecs.open(options.spec, "r", encoding="utf-8") as spec_file: spec_yaml = yaml.safe_load(spec_file) if not isinstance(spec_yaml, list): raise ValueError("expected a list of micro-kernels in the spec") tests = """\ // Copyright 2019 Google LLC // // This source code is licensed under the BSD-style license found in the // LICENSE file in the root directory of this source tree. // // Auto-generated file. Do not edit! // Specification: {specification} // Generator: {generator} #include #include #include #include #include "spmm-microkernel-tester.h" """.format(specification=options.spec, generator=sys.argv[0]) for ukernel_spec in spec_yaml: name = ukernel_spec["name"] init_fn = ukernel_spec["init"] k_block = int(ukernel_spec["k-block"]) pipelined = bool(ukernel_spec.get("pipelined", False)) mr, nr, arch, isa = split_ukernel_name(name) test_case = generate_test_cases(name, init_fn, mr, nr, k_block, pipelined, isa) tests += "\n\n" + xnncommon.postprocess_test_case(test_case, arch, isa) txt_changed = True if os.path.exists(options.output): with codecs.open(options.output, "r", encoding="utf-8") as output_file: txt_changed = output_file.read() != tests if txt_changed: with codecs.open(options.output, "w", encoding="utf-8") as output_file: output_file.write(tests) if __name__ == "__main__": main(sys.argv[1:])