#!/usr/bin/env python3 import re import sys import csv import argparse import importlib.util from utils.timing_data import TimingData from utils.memory_config import MemoryConfig from utils.class_process import Process from utils.run_utils import RunUtils from utils.rw_port_group import RWPortGroup from utils.ss_port_creator import SSPortCreator from utils.ss_port_organizer import SSPortOrganizer from utils.single_port_ssram import SinglePortSSRAM # TODO # support reg file # # Class to generate a single port RAM from customer-specific spreadsheet input # # Usage: spreadsheet_ram.py --config --physical # --mem_config # --mapping --output_dir # # where # fakeram_config - standard FakeRAM2.0 JSON config # physical_csv - CSV file containing physical data such as size, pins (layer # and rect) and obstructions # metrics_csv - CSV file containing power and timing characteristics # custom_mapping - Python3 file containing two mapping routines that are # custom-specific (see below) # output_dir - output directory name # class SSRAMGenerator: """Container class for generating a spreadsheet-based memory""" def __init__(self, config_file, util_file): """Initializer""" self._import_custom_mappings(util_file) if config_file: # Use config to get voltage self._process = Process(RunUtils.get_config(config_file)) def _import_custom_mappings(self, file_name): """ Import custom maps into the self._util_module file must contain the following methods: get_pin_type_map - returns a dictionary that maps a pin name or bus name string to a string that indicates the type of the pin or bus. Recognized values include: address_bus, data_bus, output_bus, write_enable, clock, power, ground Example: pin_type_map = { "addr_in": "address_bus", "data_in": "data_bus", "rd_out": "output_bus", "we_in": "write_enable", "clk": "clock", "VSS": "ground", "VDD": "power", } get_key_map - returns a dictionary that maps the CSV column to a dictionary that helps the SSRAMGenerator properly handle the data in its own structures. The dictionary recognizes the following keys: key: name of the field in the functional or timing data object type: object type to convert into conversion: optional field for unit conversion (csv value is multiplied by the specified value Example: key_map = { "Num Words": { "key": "depth", "type": int }, "Num Bits": { "key": "width", "type": int }, "Num Banks": { "key": "banks", "type": int }, "Memory Name": { "key": "name", "type": str }, "cin (pf)":{ "key": "cap_input_pf", "type": float }, "corner.Ts (ns)": { "key": "t_setup_ns", "type": float }, "corner.Th (ns)": { "key": "t_hold_ns", "type": float }, "corner.Ta (ns)": { "key": "access_time_ns", "type": float }, "corner.Tc (ns)": { "key": "cycle_time_ns", "type": float }, "Static Power (uW)": { "key": "standby_leakage_per_bank_mW", "type": float, "conversion": 1e-3 }, "Dynamic Power (uW/MHz)": { "key": "pin_dynamic_power_mW", "type": float , "conversion": 1e-3}, } """ module_name = "spreadsheet_utils" spec = importlib.util.spec_from_file_location(module_name, file_name) self._util_module = importlib.util.module_from_spec(spec) sys.modules[module_name] = self._util_module spec.loader.exec_module(self._util_module) self._pin_type_map = self._util_module.get_pin_type_map() self._key_map = self._util_module.get_key_map() def create_memory(self, mem_config, physical): """Extracts the data from the CSV files and returns the memory object""" # Get the physical data and organize it phys_data = self.read_physical_file(physical) pin_org = SSPortOrganizer(self._pin_type_map) pin_org.organize_ports(phys_data) num_pins = len(phys_data["pin_data"]) # Get the metrics data and organize it macro_metrics = self.read_metrics_file(mem_config, phys_data["name"]) timing_data = TimingData(macro_metrics) mem_config = MemoryConfig.from_json(macro_metrics) mem = SinglePortSSRAM(mem_config, self._process, timing_data, num_pins) self.set_logical_pins(mem, pin_org) port_creator = SSPortCreator(mem, self._pin_type_map) port_creator.create_ports(phys_data["pin_data"]) if "obs" in phys_data: port_creator.create_obs(phys_data["obs"]) mem.get_physical_data().set_extents( float(phys_data["width"]), float(phys_data["height"]) ) # snap to grid to sync up the physical data fields mem.get_physical_data().snap_to_grid(1, 1) return mem def read_physical_file(self, file_name): """ Reads the physical data CSV file and returns a dictionary that includes the pin and obstruction data """ macro_data = {"pin_data": {}, "obs": []} with open(file_name, "r", encoding="utf-8-sig") as csv_fh: reader = csv.DictReader(csv_fh) is_first = True for row in reader: # MACRO,SIZE_WIDTH,SIZE_HEIGHT,SOURCE,PIN,USE,LAYER,x1,y1,x2,y2 if is_first: macro_data["name"] = row["MACRO"] macro_data["width"] = row["SIZE_WIDTH"] macro_data["height"] = row["SIZE_HEIGHT"] is_first = False source = row["SOURCE"] if source == "PIN": pin_data = { "name": row["PIN"], "use": row["USE"], "layer": row["LAYER"], "rect": [ float(row["x1"]), float(row["y1"]), float(row["x2"]), float(row["y2"]), ], } if pin_data["name"] not in macro_data["pin_data"]: macro_data["pin_data"][pin_data["name"]] = pin_data else: # pragma: no cover raise Exception( "{} had multiple pin shapes".format(pin_data["name"]) ) elif source == "OBS": obs_data = { "layer": row["LAYER"], "layer_attr": None, "rect": [ float(row["x1"]), float(row["y1"]), float(row["x2"]), float(row["y2"]), ], } macro_data["obs"].append(obs_data) else: print( "Skipping {} since source is {}".format( row["PIN"], row["SOURCE"] ) ) return macro_data def get_size_keys(self): """Returns the keys that map to depth and width""" depth_key = width_key = None for key, val in self._key_map.items(): if val.get("key") == "depth": depth_key = key elif val.get("key") == "width": width_key = key return (depth_key, width_key) def read_metrics_file(self, file_name, macro_name): """ Reads the metrics CSV file to extract the power and timing data. Returns a dictionary that has been normalized to our expected metrics and Process/TimingData names The depth and width are present on the first row and apply to all subsequent rows until they are set again on a subsequent row. Effectively, the cells should have been merged, but weren't. """ macro_metrics = {} depth = width = None depth_key, width_key = self.get_size_keys() with open(file_name, "r", encoding="utf-8-sig") as csv_fh: reader = csv.DictReader(csv_fh) for row in reader: if row[depth_key]: depth = row[depth_key] if row[width_key]: width = row[width_key] if row["memory_name"] == macro_name: row[depth_key] = depth row[width_key] = width for csv_key, metric_key_data in self._key_map.items(): if csv_key in row and row[csv_key] != "N/A": metric_key = metric_key_data["key"] metric_type_fn = metric_key_data["type"] metric_conv_factor = metric_key_data.get("conversion", 1) macro_metrics[metric_key] = ( metric_type_fn(row[csv_key]) * metric_conv_factor ) return macro_metrics def set_logical_pins(self, mem, pin_org): """Sets the pins to be used for Verilog and Liberty output""" for suffix, src in pin_org.get_rw_groups().items(): rw_port_group = RWPortGroup() rw_port_group.set_suffix(suffix) for pin_type, port_data in src.items(): pin_name = port_data["name"] if pin_type == "clock": rw_port_group.set_clock_name(pin_name) elif pin_type == "address_bus": rw_port_group.set_address_bus_name(pin_name) elif pin_type == "data_bus": rw_port_group.set_data_input_bus_name(pin_name) elif pin_type == "output_bus": rw_port_group.set_data_output_bus_name(pin_name) elif pin_type == "write_enable": rw_port_group.set_write_enable_name(pin_name) else: if "msb" in port_data: rw_port_group.add_related_bus(port_data) else: rw_port_group.add_related_pin(pin_name) mem.add_rw_port_group(rw_port_group) for src in pin_org.get_misc_busses(): mem.add_misc_bus(src) for src in pin_org.get_misc_ports(): if src["type"] not in ["power", "ground"]: mem.add_misc_port(src["name"]) @staticmethod def main(): """Main driver""" parser = argparse.ArgumentParser( description="Create a set of memory colllateral from a spreadsheet input" ) parser.add_argument( "--config", help="Input configuration file containing technology parameters", required=True, ) parser.add_argument( "--mem_config", help="CSV file containing technical parameters such as size, timing, power", required=True, ) parser.add_argument( "--physical", help="CSV file containing physical data such as pin locations and layers", required=True, ) parser.add_argument( "--mapping", help="Custom Python mapping file", required=True ) parser.add_argument( "--output_dir", action="store", help="Output directory ", required=False, default="results", ) args = parser.parse_args() rep = SSRAMGenerator(args.config, args.mapping) mem = rep.create_memory(args.mem_config, args.physical) RunUtils.write_memory(mem, args.output_dir) if __name__ == "__main__": SSRAMGenerator.main()