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@@ -1,8 +1,11 @@
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import json
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import re
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import shutil
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import struct
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from pathlib import Path
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import numpy as np
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_METRIC_PATTERNS = {
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"output_count": r"output count:\s+([0-9]+)\s+samples",
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@@ -14,6 +17,14 @@ _METRIC_PATTERNS = {
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}
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def read_raptor_instruction_count(path):
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with open(path, "rb") as f:
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magic, version, count = struct.unpack("<4sII", f.read(12))
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if magic != b"PIMB" or version != 1:
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raise ValueError(f"Invalid Raptor binary instruction file: {path}")
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return count
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def parse_pimsim_nn_metrics(output):
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metrics = {"raw_output": output}
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for name, pattern in _METRIC_PATTERNS.items():
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@@ -45,6 +56,46 @@ def export_raptor_latency_artifact(pim_dir, output_dir):
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json.dump(config, f, separators=(",", ":"))
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f.write("\n")
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binary_sources = sorted(pim_dir.glob("core_*.pim"), key=lambda path: int(path.stem.split("_")[1]))
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if binary_sources:
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record_dtype = np.dtype([
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("opcode", "u1"), ("rd", "u1"), ("r1", "u1"), ("flags", "u1"),
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("r2_or_imm", "<i4"), ("generic1", "<i4"),
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("generic2", "<i4"), ("generic3", "<i4"),
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])
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for source in binary_sources:
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destination = output_dir / source.name
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shutil.copyfile(source, destination)
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count = read_raptor_instruction_count(destination)
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if destination.stat().st_size != 12 + count * record_dtype.itemsize:
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raise ValueError(f"Invalid Raptor binary instruction file: {source}")
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records = np.memmap(destination, dtype=record_dtype, mode="r+", offset=12, shape=(count,))
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scalar_sldi = np.zeros(count, dtype=bool)
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vmv = records["opcode"] == 22
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sldi = records["opcode"] == 1
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for register in np.unique(records["r2_or_imm"][vmv]):
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definitions = np.flatnonzero(sldi & (records["rd"] == register))
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consumers = np.flatnonzero(vmv & (records["r2_or_imm"] == register))
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reaching = np.searchsorted(definitions, consumers) - 1
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scalar_sldi[definitions[reaching[reaching >= 0]]] = True
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for start in range(0, count, 1_000_000):
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chunk = records[start:start + 1_000_000]
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setbw = chunk["opcode"] == 8
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chunk["generic1"][setbw] = 8
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chunk["generic2"][setbw] = 8
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address_sldi = (chunk["opcode"] == 1) & ~scalar_sldi[start:start + len(chunk)]
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if np.any(chunk["r2_or_imm"][address_sldi] % 4):
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raise ValueError(f"Raptor address is not aligned to its fp32 element width: {source}")
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chunk["r2_or_imm"][address_sldi] //= 4
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transfer = (chunk["opcode"] >= 25) & (chunk["opcode"] <= 30)
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if np.any(chunk["generic2"][transfer] % 4) or np.any(chunk["generic3"][transfer] % 4):
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raise ValueError(f"Raptor transfer field is not aligned to its fp32 element width: {source}")
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chunk["generic2"][transfer] //= 4
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chunk["generic3"][transfer] //= 4
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records.flush()
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del records
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return output_dir
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byte_size_fields = {
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"ld": "size",
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"st": "size",
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@@ -56,12 +107,19 @@ def export_raptor_latency_artifact(pim_dir, output_dir):
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for source in sorted(pim_dir.glob("core_*.json"), key=lambda path: int(path.stem.split("_")[1])):
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with open(source, encoding="utf-8") as f:
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instructions = json.load(f)
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for instruction in instructions:
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last_sldi = {}
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scalar_sldi = set()
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for index, instruction in enumerate(instructions):
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if instruction["op"] == "sldi":
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last_sldi[instruction["rd"]] = index
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elif instruction["op"] == "vmv" and instruction["rs2"] in last_sldi:
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scalar_sldi.add(last_sldi[instruction["rs2"]])
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for index, instruction in enumerate(instructions):
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op = instruction["op"]
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if op == "setbw":
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instruction["ibiw"] = 8
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instruction["obiw"] = 8
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elif op == "sldi":
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elif op == "sldi" and index not in scalar_sldi:
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instruction["imm"] = int8_bytes(instruction["imm"], "address")
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if field := byte_size_fields.get(op):
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instruction[field] = int8_bytes(instruction[field], f"{op} {field}")
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