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Merged
changhai0109 merged 1 commit into from
May 20, 2026
Merged

Update version to 1.0.0 #213

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2 changes: 1 addition & 1 deletion pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "chakra"
requires-python = ">=3.7"
version = "0.0.4"
version = "1.0.0"
readme = "README.md"
license = {file = "LICENSE.md"}
authors = [
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2 changes: 1 addition & 1 deletion src/converter/pytorch_node.py
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Expand Up @@ -47,7 +47,7 @@ class PyTorchNode:
pg_name (str): Process Group name for the inter-GPU communication.
"""

SUPPORTED_VERSIONS = ["1.0.2-chakra.0.0.4", "1.0.3-chakra.0.0.4", "1.1.0-chakra.0.0.4", "1.1.1-chakra.0.0.4"]
SUPPORTED_VERSIONS = ["1.0.2-chakra.0.0.4", "1.0.3-chakra.0.0.4", "1.1.0-chakra.0.0.4", "1.1.1-chakra.0.0.4", "1.1.1-chakra.1.0.0"]

def __init__(self, schema: str, node_data: Dict[str, Any]) -> None:
"""
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2 changes: 1 addition & 1 deletion src/converter/text_converter.py
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Expand Up @@ -65,7 +65,7 @@ def get_global_metadata(self):
with open(self.input_filename, "r") as input_file:
input_text = input_file.read()
attr = [
ChakraAttr(name="schema", string_val="1.0.2-chakra.0.0.4"),
ChakraAttr(name="schema", string_val="1.0.2-chakra.1.0.0"),
ChakraAttr(name="input_file", string_val=input_text),
]
metadata = GlobalMetadata(attr=attr)
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18 changes: 9 additions & 9 deletions src/generator/generator.py
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Expand Up @@ -66,7 +66,7 @@ def one_metadata_node_all_types(num_npus: int) -> None:
for npu_id in range(num_npus):
output_filename = f"one_metadata_node_all_types.{npu_id}.et"
with open(output_filename, "wb") as et:
encode_message(et, GlobalMetadata(version="0.0.4"))
encode_message(et, GlobalMetadata(version="1.0.0"))

node = get_node("METADATA_NODE", METADATA_NODE)
node.attr.extend(
Expand Down Expand Up @@ -115,7 +115,7 @@ def one_remote_mem_load_node(num_npus: int, tensor_size: int) -> None:
for npu_id in range(num_npus):
output_filename = f"one_remote_mem_load_node.{npu_id}.et"
with open(output_filename, "wb") as et:
encode_message(et, GlobalMetadata(version="0.0.4"))
encode_message(et, GlobalMetadata(version="1.0.0"))

node = get_node("MEM_LOAD_NODE", MEM_LOAD_NODE)
node.attr.append(ChakraAttr(name="is_cpu_op", bool_val=False))
Expand All @@ -128,7 +128,7 @@ def one_remote_mem_store_node(num_npus: int, tensor_size: int) -> None:
for npu_id in range(num_npus):
output_filename = f"one_remote_mem_store_node.{npu_id}.et"
with open(output_filename, "wb") as et:
encode_message(et, GlobalMetadata(version="0.0.4"))
encode_message(et, GlobalMetadata(version="1.0.0"))

node = get_node("MEM_STORE_NODE", MEM_STORE_NODE)
node.attr.append(ChakraAttr(name="is_cpu_op", bool_val=False))
Expand All @@ -141,7 +141,7 @@ def one_comp_node(num_npus: int, runtime: int) -> None:
for npu_id in range(num_npus):
output_filename = f"one_comp_node.{npu_id}.et"
with open(output_filename, "wb") as et:
encode_message(et, GlobalMetadata(version="0.0.4"))
encode_message(et, GlobalMetadata(version="1.0.0"))

node = get_node("COMP_NODE", COMP_NODE)
node.attr.append(ChakraAttr(name="is_cpu_op", bool_val=False))
Expand All @@ -154,7 +154,7 @@ def two_comp_nodes_independent(num_npus: int, runtime: int) -> None:
for npu_id in range(num_npus):
output_filename = f"two_comp_nodes_independent.{npu_id}.et"
with open(output_filename, "wb") as et:
encode_message(et, GlobalMetadata(version="0.0.4"))
encode_message(et, GlobalMetadata(version="1.0.0"))

for _ in range(2):
node = get_node("COMP_NODE", COMP_NODE)
Expand All @@ -168,7 +168,7 @@ def two_comp_nodes_dependent(num_npus: int, runtime: int) -> None:
for npu_id in range(num_npus):
output_filename = f"two_comp_nodes_dependent.{npu_id}.et"
with open(output_filename, "wb") as et:
encode_message(et, GlobalMetadata(version="0.0.4"))
encode_message(et, GlobalMetadata(version="1.0.0"))

parent_node = get_node("COMP_NODE", COMP_NODE)
parent_node.attr.append(ChakraAttr(name="is_cpu_op", bool_val=False))
Expand All @@ -187,7 +187,7 @@ def generate_comm_coll_node(num_npus: int, comm_size: int, comm_type: int, node_
for npu_id in range(num_npus):
output_filename = f"{node_name}.{npu_id}.et"
with open(output_filename, "wb") as et:
encode_message(et, GlobalMetadata(version="0.0.4"))
encode_message(et, GlobalMetadata(version="1.0.0"))

node = get_node(node_name, COMM_COLL_NODE)
node.attr.append(ChakraAttr(name="is_cpu_op", bool_val=False))
Expand Down Expand Up @@ -230,7 +230,7 @@ def one_comm_send_node(num_npus: int, tensor_size: int) -> None:
for npu_id in range(num_npus):
output_filename = f"one_comm_send_node.{npu_id}.et"
with open(output_filename, "wb") as et:
encode_message(et, GlobalMetadata(version="0.0.4"))
encode_message(et, GlobalMetadata(version="1.0.0"))

node = get_node("COMM_SEND_NODE", COMM_SEND_NODE)
node.attr.append(ChakraAttr(name="is_cpu_op", bool_val=False))
Expand All @@ -243,7 +243,7 @@ def one_comm_recv_node(num_npus: int, tensor_size: int) -> None:
for npu_id in range(num_npus):
output_filename = f"one_comm_recv_node.{npu_id}.et"
with open(output_filename, "wb") as et:
encode_message(et, GlobalMetadata(version="0.0.4"))
encode_message(et, GlobalMetadata(version="1.0.0"))

node = get_node("COMM_RECV_NODE", COMM_RECV_NODE)
node.attr.append(ChakraAttr(name="is_cpu_op", bool_val=False))
Expand Down
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