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https://github.com/pytorch/pytorch.git
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f5e704a6f2
This PR only adds the execution of the benchmarks on this PR and print results, following diffs will add checking out head~1 and running it and comparing. to access results goto test pr_time_benchmarks and inspect logs: you should see ``` + echo 'benchmark results on current PR: ' benchmark results on current PR: + cat /var/lib/jenkins/workspace/test/test-reports/pr_time_benchmarks_before.txt update_hint_regression,instruction_count,27971461254 ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/131475 Approved by: https://github.com/ezyang
87 lines
2.1 KiB
C++
87 lines
2.1 KiB
C++
#include <torch/csrc/instruction_counter/Module.h>
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#include <torch/csrc/utils/pybind.h>
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#include <cerrno>
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#include <cstdint>
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#include <cstdio>
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#include <cstdlib>
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#include <cstring>
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#include <stdexcept>
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#if defined(__linux__)
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#include <linux/perf_event.h>
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#include <sys/ioctl.h>
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#include <sys/syscall.h>
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#include <unistd.h>
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#endif
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namespace torch::instruction_counter {
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long start() {
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#if !defined(__linux__)
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throw std::runtime_error("This systems seems not to be Linux");
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#else
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// Construct base perf_event_attr struct
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perf_event_attr attr{};
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memset(&attr, 0, sizeof(attr));
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attr.size = sizeof(attr);
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attr.exclude_kernel = 1;
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attr.disabled = 1;
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attr.exclude_hv = 1;
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attr.sample_period = 0;
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// Enable hardware counting
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attr.type = PERF_TYPE_HARDWARE;
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attr.config = PERF_COUNT_HW_INSTRUCTIONS;
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long fd = syscall(SYS_perf_event_open, &attr, 0, -1, -1, 0);
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if (fd == -1) {
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fprintf(
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stderr,
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"Failed to open instruction count event: %s.\n",
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strerror(errno));
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return -1;
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}
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ioctl((int)fd, PERF_EVENT_IOC_RESET, 0); // Reset the counter
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ioctl((int)fd, PERF_EVENT_IOC_ENABLE, 0); // Enable the counter
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return fd;
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#endif
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}
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uint64_t end(int fd) {
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#if !defined(__linux__)
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throw std::runtime_error("This systems seems not to be Linux");
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#else
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// Disable the event group
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if (ioctl(fd, PERF_EVENT_IOC_DISABLE, PERF_IOC_FLAG_GROUP) == -1) {
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fprintf(
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stderr,
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"Error disabling perf event (fd: %d): %s\n",
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fd,
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strerror(errno));
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return -1;
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}
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uint64_t total_instructions = 0;
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// Read results
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long ret_val = read(fd, &total_instructions, sizeof(total_instructions));
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if (ret_val == -1) {
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fprintf(stderr, "Error reading perf event results: %s\n", strerror(errno));
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return -1;
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}
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close(fd);
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return total_instructions;
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#endif
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}
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void initModule(PyObject* module) {
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auto m = py::handle(module).cast<py::module>();
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auto instruction_counter = m.def_submodule(
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"_instruction_counter", "instruction_counter related pybind.");
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instruction_counter.def("start", start);
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instruction_counter.def("end", end);
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}
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} // namespace torch::instruction_counter
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