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| 1 | +#!/usr/bin/env python3 |
| 2 | + |
| 3 | +import re |
| 4 | +import sys |
| 5 | +import csv |
| 6 | +import argparse |
| 7 | +import importlib.util |
| 8 | + |
| 9 | +from utils.timing_data import TimingData |
| 10 | +from utils.memory_config import MemoryConfig |
| 11 | +from utils.class_process import Process |
| 12 | +from utils.run_utils import RunUtils |
| 13 | +from utils.rw_port_group import RWPortGroup |
| 14 | +from utils.ss_port_creator import SSPortCreator |
| 15 | +from utils.single_port_ssram import SinglePortSSRAM |
| 16 | + |
| 17 | +# TODO |
| 18 | +# support dual port |
| 19 | +# support reg file |
| 20 | + |
| 21 | +# |
| 22 | +# Class to generate a single port RAM from customer-specific spreadsheet input |
| 23 | +# |
| 24 | +# Usage: spreadsheet_ram.py --config <fakeram_config> --physical <physical_csv> |
| 25 | +# --mem_config <metrics_csv> |
| 26 | +# --mapping <custom_mapping> --output_dir <output_dir> |
| 27 | +# |
| 28 | +# where |
| 29 | +# fakeram_config - standard FakeRAM2.0 JSON config |
| 30 | +# physical_csv - CSV file containing physical data such as size, pins (layer |
| 31 | +# and rect) and obstructions |
| 32 | +# metrics_csv - CSV file containing power and timing characteristics |
| 33 | +# custom_mapping - Python3 file containing two mapping routines that are |
| 34 | +# custom-specific (see below) |
| 35 | +# output_dir - output directory name |
| 36 | +# |
| 37 | + |
| 38 | + |
| 39 | +class SSRAMGenerator: |
| 40 | + """Container class for generating a spreadsheet-based memory""" |
| 41 | + |
| 42 | + def __init__(self, config_file, util_file): |
| 43 | + """Initializer""" |
| 44 | + self._import_custom_mappings(util_file) |
| 45 | + # Process is required for the voltage |
| 46 | + self._process = Process(RunUtils.get_config(config_file)) |
| 47 | + |
| 48 | + def _import_custom_mappings(self, file_name): |
| 49 | + """ |
| 50 | + Import custom maps into the self._util_module |
| 51 | +
|
| 52 | + file must contain the following methods: |
| 53 | +
|
| 54 | + get_pin_type_map - returns a dictionary that maps a pin name or bus name |
| 55 | + string to a string that indicates the type of the pin |
| 56 | + or bus. Recognized values include: address_bus, |
| 57 | + data_bus, output_bus, write_enable, clock, power, |
| 58 | + ground |
| 59 | +
|
| 60 | + Example: |
| 61 | + pin_type_map = { |
| 62 | + "addr_in": "address_bus", |
| 63 | + "data_in": "data_bus", |
| 64 | + "rd_out": "output_bus", |
| 65 | + "we_in": "write_enable", |
| 66 | + "clk": "clock", |
| 67 | + "VSS": "ground", |
| 68 | + "VDD": "power", |
| 69 | + } |
| 70 | +
|
| 71 | + get_key_map - returns a dictionary that maps the CSV column to a |
| 72 | + dictionary that helps the SSRAMGenerator properly handle |
| 73 | + the data in its own structures. The dictionary recognizes |
| 74 | + the following keys: |
| 75 | +
|
| 76 | + key: name of the field in the functional or timing |
| 77 | + data object |
| 78 | + type: object type to convert into |
| 79 | + conversion: optional field for unit conversion (csv |
| 80 | + value is multiplied by the specified value |
| 81 | +
|
| 82 | + Example: |
| 83 | + key_map = { |
| 84 | + "Num Words": { "key": "depth", "type": int }, |
| 85 | + "Num Bits": { "key": "width", "type": int }, |
| 86 | + "Num Banks": { "key": "banks", "type": int }, |
| 87 | + "Memory Name": { "key": "name", "type": str }, |
| 88 | + "cin (pf)":{ "key": "cap_input_pf", "type": float }, |
| 89 | + "corner.Ts (ns)": { "key": "t_setup_ns", "type": float }, |
| 90 | + "corner.Th (ns)": { "key": "t_hold_ns", "type": float }, |
| 91 | + "corner.Ta (ns)": { "key": "access_time_ns", "type": float }, |
| 92 | + "corner.Tc (ns)": { "key": "cycle_time_ns", "type": float }, |
| 93 | + "Static Power (uW)": { "key": "standby_leakage_per_bank_mW", "type": float, "conversion": 1e-3 }, |
| 94 | + "Dynamic Power (uW/MHz)": { "key": "pin_dynamic_power_mW", "type": float , "conversion": 1e-3}, |
| 95 | + } |
| 96 | + """ |
| 97 | + |
| 98 | + module_name = "spreadsheet_utils" |
| 99 | + spec = importlib.util.spec_from_file_location(module_name, file_name) |
| 100 | + self._util_module = importlib.util.module_from_spec(spec) |
| 101 | + sys.modules[module_name] = self._util_module |
| 102 | + spec.loader.exec_module(self._util_module) |
| 103 | + self._pin_type_map = self._util_module.get_pin_type_map() |
| 104 | + self._key_map = self._util_module.get_key_map() |
| 105 | + |
| 106 | + def classify_pin(self, pin_name): |
| 107 | + """ |
| 108 | + Returns the pin classification to help identify whether the pin or bus |
| 109 | + is the address, data in, data out, write enable, clock or power pin or |
| 110 | + bus |
| 111 | + """ |
| 112 | + if pin_name in self._pin_type_map: |
| 113 | + return self._pin_type_map[pin_name] |
| 114 | + return None |
| 115 | + |
| 116 | + def create_memory(self, mem_config, physical): |
| 117 | + """Extracts the data from the CSV files and returns the memory object""" |
| 118 | + |
| 119 | + # Get the physical data and organize it |
| 120 | + phys_data = self.read_physical_file(physical) |
| 121 | + pins = self.organize_pins(phys_data) |
| 122 | + num_pins = len(phys_data["pin_data"]) |
| 123 | + |
| 124 | + # Get the metrics data and organize it |
| 125 | + macro_metrics = self.read_metrics_file(mem_config, phys_data["name"]) |
| 126 | + timing_data = TimingData(macro_metrics) |
| 127 | + mem_config = MemoryConfig.from_json(macro_metrics) |
| 128 | + |
| 129 | + mem = SinglePortSSRAM(mem_config, self._process, timing_data, num_pins) |
| 130 | + self.set_logical_pins(mem, pins) |
| 131 | + port_creator = SSPortCreator(mem, self._pin_type_map) |
| 132 | + port_creator.create_ports(phys_data["pin_data"]) |
| 133 | + if "obs" in phys_data: |
| 134 | + port_creator.create_obs(phys_data["obs"]) |
| 135 | + mem.get_physical_data().set_extents( |
| 136 | + float(phys_data["width"]), float(phys_data["height"]) |
| 137 | + ) |
| 138 | + # snap to grid to sync up the physical data fields |
| 139 | + mem.get_physical_data().snap_to_grid(1, 1) |
| 140 | + return mem |
| 141 | + |
| 142 | + def read_physical_file(self, file_name): |
| 143 | + """ |
| 144 | + Reads the physical data CSV file and returns a dictionary that includes |
| 145 | + the pin and obstruction data |
| 146 | + """ |
| 147 | + |
| 148 | + macro_data = {"pin_data": {}, "obs": []} |
| 149 | + with open(file_name, "r", encoding="utf-8-sig") as csv_fh: |
| 150 | + reader = csv.DictReader(csv_fh) |
| 151 | + is_first = True |
| 152 | + for row in reader: |
| 153 | + # MACRO,SIZE_WIDTH,SIZE_HEIGHT,SOURCE,PIN,USE,LAYER,x1,y1,x2,y2 |
| 154 | + if is_first: |
| 155 | + macro_data["name"] = row["MACRO"] |
| 156 | + macro_data["width"] = row["SIZE_WIDTH"] |
| 157 | + macro_data["height"] = row["SIZE_HEIGHT"] |
| 158 | + is_first = False |
| 159 | + source = row["SOURCE"] |
| 160 | + if source == "PIN": |
| 161 | + pin_data = { |
| 162 | + "name": row["PIN"], |
| 163 | + "use": row["USE"], |
| 164 | + "layer": row["LAYER"], |
| 165 | + "rect": [ |
| 166 | + float(row["x1"]), |
| 167 | + float(row["y1"]), |
| 168 | + float(row["x2"]), |
| 169 | + float(row["y2"]), |
| 170 | + ], |
| 171 | + } |
| 172 | + if pin_data["name"] not in macro_data["pin_data"]: |
| 173 | + macro_data["pin_data"][pin_data["name"]] = pin_data |
| 174 | + else: # pragma: no cover |
| 175 | + raise Exception( |
| 176 | + "{} had multiple pin shapes".format(pin_data["name"]) |
| 177 | + ) |
| 178 | + elif source == "OBS": |
| 179 | + obs_data = { |
| 180 | + "layer": row["LAYER"], |
| 181 | + "rect": [ |
| 182 | + float(row["x1"]), |
| 183 | + float(row["y1"]), |
| 184 | + float(row["x2"]), |
| 185 | + float(row["y2"]), |
| 186 | + ], |
| 187 | + } |
| 188 | + macro_data["obs"].append(obs_data) |
| 189 | + else: |
| 190 | + print( |
| 191 | + "Skipping {} since source is {}".format( |
| 192 | + row["PIN"], row["SOURCE"] |
| 193 | + ) |
| 194 | + ) |
| 195 | + return macro_data |
| 196 | + |
| 197 | + def organize_pins(self, macro_data): |
| 198 | + """ |
| 199 | + Iterates through the macro_data and creates a pin dictionary that |
| 200 | + maps the pin or bus name to a dictionary that includes the pin name, |
| 201 | + msb, lsb, and type |
| 202 | + """ |
| 203 | + |
| 204 | + pins = {} |
| 205 | + bus_name_re = re.compile("^(\S+)\[(\d+)\]") |
| 206 | + for pin_name, pin_data in macro_data["pin_data"].items(): |
| 207 | + result = bus_name_re.match(pin_name) |
| 208 | + if result: |
| 209 | + bus_name = result.group(1) |
| 210 | + bit_num = int(result.group(2)) |
| 211 | + if bus_name in pins: |
| 212 | + pins[bus_name]["lsb"] = min(bit_num, pins[bus_name]["lsb"]) |
| 213 | + pins[bus_name]["msb"] = max(bit_num, pins[bus_name]["msb"]) |
| 214 | + else: |
| 215 | + pins[bus_name] = { |
| 216 | + "name": bus_name, |
| 217 | + "msb": bit_num, |
| 218 | + "lsb": bit_num, |
| 219 | + "type": self.classify_pin(bus_name), |
| 220 | + } |
| 221 | + else: |
| 222 | + if pin_name in pins: # pragma: no cover |
| 223 | + raise Exception(f"pin {pin_name} appears twice") |
| 224 | + pins[pin_name] = {"name": pin_name, "type": self.classify_pin(pin_name)} |
| 225 | + |
| 226 | + return pins |
| 227 | + |
| 228 | + def get_size_keys(self): |
| 229 | + """Returns the keys that map to depth and width""" |
| 230 | + |
| 231 | + depth_key = width_key = None |
| 232 | + for key, val in self._key_map.items(): |
| 233 | + if val.get("key") == "depth": |
| 234 | + depth_key = key |
| 235 | + elif val.get("key") == "width": |
| 236 | + width_key = key |
| 237 | + return (depth_key, width_key) |
| 238 | + |
| 239 | + def read_metrics_file(self, file_name, macro_name): |
| 240 | + """ |
| 241 | + Reads the metrics CSV file to extract the power and timing data. |
| 242 | +
|
| 243 | + Returns a dictionary that has been normalized to our expected metrics |
| 244 | + and Process/TimingData names |
| 245 | +
|
| 246 | + The depth and width are present on the first row and apply to all |
| 247 | + subsequent rows until they are set again on a subsequent row. |
| 248 | + Effectively, the cells should have been merged, but weren't. |
| 249 | + """ |
| 250 | + macro_metrics = {} |
| 251 | + depth = width = None |
| 252 | + (depth_key, width_key) = self.get_size_keys() |
| 253 | + with open(file_name, "r", encoding="utf-8-sig") as csv_fh: |
| 254 | + reader = csv.DictReader(csv_fh) |
| 255 | + for row in reader: |
| 256 | + if row[depth_key]: |
| 257 | + depth = row[depth_key] |
| 258 | + if row[width_key]: |
| 259 | + width = row[width_key] |
| 260 | + if row["memory_name"] == macro_name: |
| 261 | + row[depth_key] = depth |
| 262 | + row[width_key] = width |
| 263 | + for csv_key, metric_key_data in self._key_map.items(): |
| 264 | + if csv_key in row and row[csv_key] != "N/A": |
| 265 | + metric_key = metric_key_data["key"] |
| 266 | + metric_type_fn = metric_key_data["type"] |
| 267 | + metric_conv_factor = metric_key_data.get("conversion", 1) |
| 268 | + macro_metrics[metric_key] = ( |
| 269 | + metric_type_fn(row[csv_key]) * metric_conv_factor |
| 270 | + ) |
| 271 | + return macro_metrics |
| 272 | + |
| 273 | + def set_logical_pins(self, mem, pins): |
| 274 | + """Sets the pins to be used for Verilog and Liberty output""" |
| 275 | + rw_port_group = RWPortGroup() |
| 276 | + mem.add_rw_port_group(rw_port_group) |
| 277 | + for pin_name, pin_data in pins.items(): |
| 278 | + pin_type = pin_data["type"] |
| 279 | + if pin_type == "clock": |
| 280 | + rw_port_group.set_clock_name(pin_name) |
| 281 | + elif pin_type in ["power", "ground"]: |
| 282 | + # skip |
| 283 | + pass |
| 284 | + elif pin_type == "address_bus": |
| 285 | + rw_port_group.set_address_bus_name(pin_name) |
| 286 | + elif pin_type == "data_bus": |
| 287 | + rw_port_group.set_data_input_bus_name(pin_name) |
| 288 | + elif pin_type == "output_bus": |
| 289 | + rw_port_group.set_data_output_bus_name(pin_name) |
| 290 | + elif pin_type == "write_enable": |
| 291 | + rw_port_group.set_write_enable_name(pin_name) |
| 292 | + elif "msb" in pin_data: |
| 293 | + bus = {"name": pin_name, "msb": pin_data["msb"], "lsb": pin_data["lsb"]} |
| 294 | + mem.add_misc_bus(bus) |
| 295 | + else: |
| 296 | + mem.add_misc_port(pin_name) |
| 297 | + |
| 298 | + @staticmethod |
| 299 | + def main(): |
| 300 | + """Main driver""" |
| 301 | + parser = argparse.ArgumentParser( |
| 302 | + description="Create a set of memory colllateral from a spreadsheet input" |
| 303 | + ) |
| 304 | + parser.add_argument( |
| 305 | + "--config", |
| 306 | + help="Input configuration file containing technology parameters", |
| 307 | + required=True, |
| 308 | + ) |
| 309 | + parser.add_argument( |
| 310 | + "--mem_config", |
| 311 | + help="CSV file containing technical parameters such as size, timing, power", |
| 312 | + required=True, |
| 313 | + ) |
| 314 | + parser.add_argument( |
| 315 | + "--physical", |
| 316 | + help="CSV file containing physical data such as pin locations and layers", |
| 317 | + required=True, |
| 318 | + ) |
| 319 | + parser.add_argument( |
| 320 | + "--mapping", help="Custom Python mapping file", required=True |
| 321 | + ) |
| 322 | + parser.add_argument( |
| 323 | + "--output_dir", |
| 324 | + action="store", |
| 325 | + help="Output directory ", |
| 326 | + required=False, |
| 327 | + default="results", |
| 328 | + ) |
| 329 | + |
| 330 | + args = parser.parse_args() |
| 331 | + rep = SSRAMGenerator(args.config, args.mapping) |
| 332 | + mem = rep.create_memory(args.mem_config, args.physical) |
| 333 | + RunUtils.write_memory(mem, args.output_dir) |
| 334 | + |
| 335 | + |
| 336 | +if __name__ == "__main__": |
| 337 | + SSRAMGenerator.main() |
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