mirror of
https://github.com/nod-ai/AMD-SHARK-Studio.git
synced 2026-04-03 03:00:17 -04:00
fixed install method
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@@ -690,8 +690,14 @@ class ShardedVicuna(VicunaBase):
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# f_ = open(mlir_path, "wb")
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# f_.write(bytecode)
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# f_.close()
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command = f"gsutil cp gs://shark_tank/elias/compressed_sv/lmhead.mlir lmhead.mlir"
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subprocess.check_call(command.split())
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# command = f"gsutil cp gs://shark_tank/elias/compressed_sv/lmhead.mlir lmhead.mlir"
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# subprocess.check_call(command.split())
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filepath = Path("lmhead.mlir")
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download_public_file(
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"gs://shark_tank/elias/compressed_sv/lmhead.mlir",
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filepath.absolute(),
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single_file=True,
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)
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f_ = open(f"lmhead.mlir", "rb")
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bytecode = f_.read()
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f_.close()
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@@ -732,8 +738,14 @@ class ShardedVicuna(VicunaBase):
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# use_tracing=False,
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# verbose=False,
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# )
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command = f"gsutil cp gs://shark_tank/elias/compressed_sv/norm.mlir norm.mlir"
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subprocess.check_call(command.split())
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# command = f"gsutil cp gs://shark_tank/elias/compressed_sv/norm.mlir norm.mlir"
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# subprocess.check_call(command.split())
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filepath = Path("norm.mlir")
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download_public_file(
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"gs://shark_tank/elias/compressed_sv/norm.mlir",
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filepath.absolute(),
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single_file=True,
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)
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f_ = open(f"norm.mlir", "rb")
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bytecode = f_.read()
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f_.close()
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@@ -779,8 +791,14 @@ class ShardedVicuna(VicunaBase):
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# f_ = open(mlir_path, "wb")
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# f_.write(bytecode)
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# f_.close()
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command = f"gsutil cp gs://shark_tank/elias/compressed_sv/embedding.mlir embedding.mlir"
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subprocess.check_call(command.split())
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# command = f"gsutil cp gs://shark_tank/elias/compressed_sv/embedding.mlir embedding.mlir"
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# subprocess.check_call(command.split())
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filepath = Path("embedding.mlir")
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download_public_file(
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"gs://shark_tank/elias/compressed_sv/embedding.mlir",
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filepath.absolute(),
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single_file=True,
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)
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f_ = open(f"embedding.mlir", "rb")
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bytecode = f_.read()
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f_.close()
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@@ -986,9 +1004,15 @@ class ShardedVicuna(VicunaBase):
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f_.close()
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mlirs.append(bytecode)
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else:
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command = f"gsutil cp gs://shark_tank/elias/compressed_sv/{idx}_full.mlir {idx}_full.mlir"
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# command = f"gsutil cp gs://shark_tank/elias/compressed_sv/{idx}_full.mlir {idx}_full.mlir"
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subprocess.check_call(command.split())
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# subprocess.check_call(command.split())
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filepath = Path(f"{idx}_full.mlir")
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download_public_file(
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f"gs://shark_tank/elias/compressed_sv/{idx}_full.mlir",
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filepath.absolute(),
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single_file=True,
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)
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f_ = open(f"{idx}_full.mlir", "rb")
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bytecode = f_.read()
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@@ -1150,7 +1174,7 @@ class ShardedVicuna(VicunaBase):
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layers0 = [layers00, layers01, layers02, layers03]
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layers1 = [layers10, layers11, layers12, layers13]
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_, modules = self.compile_to_vmfb_one_model(
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_, modules = self.compile_to_vmfb_one_model4(
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placeholder_input0,
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layers0,
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placeholder_input1,
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