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Inlined conversion of LD/ST memory operands

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stefandesouza
2024-02-24 12:45:59 +01:00
parent fa95293cb0
commit 61dacff53e
1 changed files with 32 additions and 31 deletions
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63
osaca/semantics/hw_model.py
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@@ -145,7 +145,38 @@ class MachineModel(object):
# List containing classes with same name/instruction # List containing classes with same name/instruction
self._data["instruction_forms_dict"][iform["name"]].append(new_iform) self._data["instruction_forms_dict"][iform["name"]].append(new_iform)
self._data["internal_version"] = self.INTERNAL_VERSION self._data["internal_version"] = self.INTERNAL_VERSION
self.load_store_tp()
# Convert load and store throughput memory operands to classes
new_throughputs = []
if "load_throughput" in self._data:
for m in self._data["load_throughput"]:
new_throughputs.append(
MemoryOperand(
base=m["base"],
offset=m["offset"],
scale=m["scale"],
index=m["index"],
port_pressure=m["port_pressure"],
dst=m["dst"] if "dst" in m else None,
)
)
self._data["load_throughput"] = new_throughputs
new_throughputs = []
if "store_throughput" in self._data:
for m in self._data["store_throughput"]:
new_throughputs.append(
MemoryOperand(
base=m["base"],
offset=m["offset"],
scale=m["scale"],
index=m["index"],
port_pressure=m["port_pressure"],
)
)
self._data["store_throughput"] = new_throughputs
if not lazy: if not lazy:
# cache internal representation for future use # cache internal representation for future use
self._write_in_cache(self._path) self._write_in_cache(self._path)
@@ -153,36 +184,6 @@ class MachineModel(object):
if not lazy: if not lazy:
MachineModel._runtime_cache[self._path] = self._data MachineModel._runtime_cache[self._path] = self._data
def load_store_tp(self):
new_throughputs = []
if "load_throughput" in self._data:
for m in self._data["load_throughput"]:
new_throughputs.append(
MemoryOperand(
base=m["base"],
offset=m["offset"],
scale=m["scale"],
index=m["index"],
port_pressure=m["port_pressure"],
dst=m["dst"] if "dst" in m else None,
)
)
self._data["load_throughput"] = new_throughputs
new_throughputs = []
if "store_throughput" in self._data:
for m in self._data["store_throughput"]:
new_throughputs.append(
MemoryOperand(
base=m["base"],
offset=m["offset"],
scale=m["scale"],
index=m["index"],
port_pressure=m["port_pressure"],
)
)
self._data["store_throughput"] = new_throughputs
def operand_to_class(self, o, new_operands): def operand_to_class(self, o, new_operands):
"""Convert an operand from dict type to class""" """Convert an operand from dict type to class"""
if o["class"] == "register": if o["class"] == "register":