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49 lines
2.0 KiB
49 lines
2.0 KiB
import gc
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from tinygrad.helpers import prod
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from tinygrad.uop.ops import UOp
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from tinygrad.device import Buffer
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from tinygrad import Tensor, GlobalCounters
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def print_objects():
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#gc.collect()
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tensors = [x for x in gc.get_objects() if isinstance(x, Tensor)]
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tensor_ram_used = sum([prod(x.shape)*4 for x in tensors])
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lazybuffers = [x for x in gc.get_objects() if isinstance(x, UOp)]
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gpubuffers = [x for x in gc.get_objects() if isinstance(x, Buffer) and hasattr(x, "_buf")]
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realized_buffers = [x.realized for x in lazybuffers if x.base == x and x.realized]
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gpubuffers_orphaned = [x for x in gpubuffers if x not in realized_buffers]
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print(f"{len(tensors)} tensors allocated in {tensor_ram_used/1e9:.2f} GB, GPU using {GlobalCounters.mem_used/1e9:.2f} GB")
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print(f"{len(lazybuffers)} lazybuffers {len(realized_buffers)} realized, {len(gpubuffers)} GPU buffers")
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print(f"{len(gpubuffers_orphaned)} GPU buffers are orphaned")
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cnt = 0
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for tb in gpubuffers_orphaned:
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bb = gc.get_referrers(tb)
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for b in bb:
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if b is not gpubuffers and b is not gpubuffers_orphaned:
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print(tb, "\nreference", type(b), str(b)[0:150])
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for x in gc.get_referrers(b):
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print("double reference", str(x)[0:100])
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print("\n")
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if cnt == 10:
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break
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cnt += 1
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for x in gpubuffers_orphaned:
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if getattr(x, '_buf', None): del x._buf
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if getattr(x, '_image', None): del x._image
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return len(gpubuffers_orphaned)
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"""
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import gc
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def print_ram():
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print(GlobalCounters.mem_used/1e9, sum([prod(x.shape)*4 for x in gc.get_objects() if isinstance(x, Tensor)])/1e9)
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img_count = sum([x.is_image() for x in gc.get_objects() if isinstance(x, OpenCLBuffer)])
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print("img_count", img_count)
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buffer_bytes = sum([x.cl.size for x in gc.get_objects() if isinstance(x, CLBuffer)])
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image_bytes = sum([x.cl.row_pitch*x.cl.height for x in gc.get_objects() if isinstance(x, CLImage)])
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print("buffer bytes", buffer_bytes/1e9, "image bytes", image_bytes/1e9, "sum", (buffer_bytes+image_bytes)/1e9)
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"""
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