55 lines
3.2 KiB
Python
55 lines
3.2 KiB
Python
# ruff: noqa: E501
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import unittest
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from tinygrad.ops import UOp, Ops
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from tinygrad.engine.search import Opt, OptOps
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from tinygrad.dtype import dtypes
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from tinygrad.shape.shapetracker import ShapeTracker
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from tinygrad.shape.view import View
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from tinygrad.codegen.kernel import Kernel
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from test.external.fuzz_linearizer import run_linearizer
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class TestTrainGpt2Kernel(unittest.TestCase):
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def test_1(self):
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# kernel 244
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ast = UOp(Ops.SINK, dtypes.void, arg=None, src=(
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UOp(Ops.STORE, dtypes.void, arg=None, src=(
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UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(206045184), arg=0, src=()),
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UOp(Ops.VIEW, dtypes.void, arg=ShapeTracker(views=(View(shape=(4, 1024, 50304, 1), strides=(51511296, 50304, 1, 0), offset=0, mask=None, contiguous=True),)), src=()),
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UOp(Ops.REDUCE_AXIS, dtypes.float, arg=(Ops.ADD, (3,)), src=(
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UOp(Ops.MUL, dtypes.float, arg=None, src=(
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UOp(Ops.LOAD, dtypes.float, arg=None, src=(
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UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(3145728), arg=1, src=()),
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UOp(Ops.VIEW, dtypes.void, arg=ShapeTracker(views=(View(shape=(4, 1024, 50304, 768), strides=(786432, 768, 0, 1), offset=0, mask=None, contiguous=False),)), src=()),)),
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UOp(Ops.LOAD, dtypes.float, arg=None, src=(
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UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(38633472), arg=2, src=()),
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UOp(Ops.VIEW, dtypes.void, arg=ShapeTracker(views=(View(shape=(4, 1024, 50304, 768), strides=(0, 0, 768, 1), offset=0, mask=None, contiguous=False),)), src=()),)),)),)),)),))
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opts = [Opt(op=OptOps.LOCAL, axis=0, amt=16), Opt(op=OptOps.UPCAST, axis=1, amt=3), Opt(op=OptOps.LOCAL, axis=0, amt=2)]
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kernel = Kernel(ast)
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for opt in opts: kernel.apply_opt(opt)
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run_linearizer(kernel)
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def test_2(self):
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# kernel 254
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ast = UOp(Ops.SINK, dtypes.void, arg=None, src=(
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UOp(Ops.STORE, dtypes.void, arg=None, src=(
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UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(3145728), arg=0, src=()),
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UOp(Ops.VIEW, dtypes.void, arg=ShapeTracker(views=(View(shape=(4, 1024, 1, 768), strides=(786432, 768, 0, 1), offset=0, mask=None, contiguous=True),)), src=()),
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UOp(Ops.REDUCE_AXIS, dtypes.float, arg=(Ops.ADD, (2,)), src=(
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UOp(Ops.MUL, dtypes.float, arg=None, src=(
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UOp(Ops.LOAD, dtypes.float, arg=None, src=(
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UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(38633472), arg=1, src=()),
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UOp(Ops.VIEW, dtypes.void, arg=ShapeTracker(views=(View(shape=(4, 1024, 50304, 768), strides=(0, 0, 768, 1), offset=0, mask=None, contiguous=False),)), src=()),)),
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UOp(Ops.LOAD, dtypes.float, arg=None, src=(
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UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(205852672), arg=2, src=()),
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UOp(Ops.VIEW, dtypes.void, arg=ShapeTracker(views=(View(shape=(4, 1024, 50304, 768), strides=(51463168, 50257, 1, 0), offset=0, mask=((0, 4), (0, 1024), (0, 50257), (0, 768)), contiguous=False),)), src=()),)),)),)),)),))
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opts = [Opt(op=OptOps.LOCAL, axis=1, amt=16), Opt(op=OptOps.LOCAL, axis=0, amt=8), Opt(op=OptOps.UPCAST, axis=2, amt=4), Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.LOCAL, axis=1, amt=4), Opt(op=OptOps.UPCAST, axis=3, amt=4)]
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kernel = Kernel(ast)
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for opt in opts: kernel.apply_opt(opt)
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run_linearizer(kernel)
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if __name__ == "__main__":
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unittest.main() |