#!/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 codecs import math import os import re import sys import yaml sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) import xngen import xnncommon parser = argparse.ArgumentParser( description='Vector unary operation microkernel test generator') parser.add_argument("-s", "--spec", metavar="FILE", required=True, help="Specification (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): match = re.match(r"^xnn_(f16|f32)_(relu|sigmoid|vabs|velu|vlrelu|vneg|vsqr|vrndne|vrndz|vrndd|vrndu|vsqrt)_(fact_)?ukernel__(.+)_x(\d+)$", name) if match is None: raise ValueError("Unexpected microkernel name: " + name) op_type = { "relu": "ReLU", "vabs": "Abs", "velu": "ELU", "vlrelu": "LeakyReLU", "vneg": "Negate", "sigmoid": "Sigmoid", "vrndne": "RoundToNearestEven", "vrndz": "RoundTowardsZero", "vrndu": "RoundUp", "vrndd": "RoundDown", "vsqr": "Square", "vsqrt": "SquareRoot", }[match.group(2)] batch_tile = int(match.group(5)) arch, isa = xnncommon.parse_target_name(target_name=match.group(4)) return op_type, batch_tile, arch, isa BINOP_TEST_TEMPLATE = """\ TEST(${TEST_NAME}, batch_eq_${BATCH_TILE}) { $if ISA_CHECK: ${ISA_CHECK}; VUnOpMicrokernelTester() .batch_size(${BATCH_TILE}) .Test(${", ".join(TEST_ARGS)}); } $if BATCH_TILE > 1: TEST(${TEST_NAME}, batch_div_${BATCH_TILE}) { $if ISA_CHECK: ${ISA_CHECK}; for (size_t batch_size = ${BATCH_TILE*2}; batch_size < ${BATCH_TILE*10}; batch_size += ${BATCH_TILE}) { VUnOpMicrokernelTester() .batch_size(batch_size) .Test(${", ".join(TEST_ARGS)}); } } TEST(${TEST_NAME}, batch_lt_${BATCH_TILE}) { $if ISA_CHECK: ${ISA_CHECK}; for (size_t batch_size = 1; batch_size < ${BATCH_TILE}; batch_size++) { VUnOpMicrokernelTester() .batch_size(batch_size) .Test(${", ".join(TEST_ARGS)}); } } TEST(${TEST_NAME}, batch_gt_${BATCH_TILE}) { $if ISA_CHECK: ${ISA_CHECK}; for (size_t batch_size = ${BATCH_TILE+1}; batch_size < ${10 if BATCH_TILE == 1 else BATCH_TILE*2}; batch_size++) { VUnOpMicrokernelTester() .batch_size(batch_size) .Test(${", ".join(TEST_ARGS)}); } } TEST(${TEST_NAME}, inplace) { $if ISA_CHECK: ${ISA_CHECK}; for (size_t batch_size = 1; batch_size <= ${BATCH_TILE*5}; batch_size += ${max(1, BATCH_TILE-1)}) { VUnOpMicrokernelTester() .batch_size(batch_size) .inplace(true) .Test(${", ".join(TEST_ARGS)}); } } $if OP_TYPE == "LeakyReLU": TEST(${TEST_NAME}, slope) { $if ISA_CHECK: ${ISA_CHECK}; for (float slope : std::vector({-0.7f, 0.3f, 1.3f})) { for (size_t batch_size = 1; batch_size <= ${BATCH_TILE*5}; batch_size += ${max(1, BATCH_TILE-1)}) { VUnOpMicrokernelTester() .batch_size(batch_size) .slope(slope) .Test(${", ".join(TEST_ARGS)}); } } } $if OP_TYPE == "ELU": TEST(${TEST_NAME}, prescale) { $if ISA_CHECK: ${ISA_CHECK}; for (float prescale : std::vector({0.1f, 10.0f})) { for (size_t batch_size = 1; batch_size <= ${BATCH_TILE*5}; batch_size += ${max(1, BATCH_TILE-1)}) { VUnOpMicrokernelTester() .batch_size(batch_size) .prescale(prescale) .Test(${", ".join(TEST_ARGS)}); } } } TEST(${TEST_NAME}, alpha) { $if ISA_CHECK: ${ISA_CHECK}; for (float alpha : std::vector({0.3f, 3.0f})) { for (size_t batch_size = 1; batch_size <= ${BATCH_TILE*5}; batch_size += ${max(1, BATCH_TILE-1)}) { VUnOpMicrokernelTester() .batch_size(batch_size) .alpha(alpha) .Test(${", ".join(TEST_ARGS)}); } } } TEST(${TEST_NAME}, beta) { $if ISA_CHECK: ${ISA_CHECK}; for (float beta : std::vector({0.3f, 3.0f})) { for (size_t batch_size = 1; batch_size <= ${BATCH_TILE*5}; batch_size += ${max(1, BATCH_TILE-1)}) { VUnOpMicrokernelTester() .batch_size(batch_size) .beta(beta) .Test(${", ".join(TEST_ARGS)}); } } } """ def generate_test_cases(ukernel, op_type, batch_tile, isa): """Generates all tests cases for a Vector Unary Operation micro-kernel. Args: ukernel: C name of the micro-kernel function. op_type: Operation type. batch_tile: Number of batch elements processed per one iteration of the inner loop of the micro-kernel. 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.split("_", 2) test_args = [ "xnn_f32_vunary_ukernel_function(%s)" % ukernel, "VUnOpMicrokernelTester::OpType::%s" % op_type, ] if not isa: test_args.append("VUnOpMicrokernelTester::Variant::Scalar") return xngen.preprocess(BINOP_TEST_TEMPLATE, { "TEST_NAME": test_name.upper().replace("UKERNEL_", ""), "TEST_ARGS": test_args, "DATATYPE": datatype, "BATCH_TILE": batch_tile, "OP_TYPE": op_type, "ISA_CHECK": xnncommon.generate_isa_check_macro(isa), }) 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 "vunary-microkernel-tester.h" """.format(specification=options.spec, generator=sys.argv[0]) for ukernel_spec in spec_yaml: name = ukernel_spec["name"] op_type, batch_tile, arch, isa = split_ukernel_name(name) # specification can override architecture arch = ukernel_spec.get("arch", arch) test_case = generate_test_cases(name, op_type, batch_tile, isa) tests += "\n\n" + xnncommon.postprocess_test_case(test_case, arch, isa) with codecs.open(options.output, "w", encoding="utf-8") as output_file: output_file.write(tests) if __name__ == "__main__": main(sys.argv[1:])