mirror of https://github.com/commaai/tinygrad.git
wow, way faster
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@ -164,18 +164,26 @@ def riski_mov(tout, tin):
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def riski_load(target, address, stride_y=SZ, stride_x=1, len_y=SZ, len_x=SZ):
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global util_n, util_d
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utils[(len_y, len_x)] += 1
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stride_y, stride_x = int(stride_y), int(stride_x)
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d = regfile[target]
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d[:] = 0
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d[:len_y, :len_x] = np.lib.stride_tricks.as_strided(sram[address:], (len_y, len_x), (stride_y*4, stride_x*4))
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"""
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for y in range(0, len_y):
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for x in range(0, len_x):
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d[y, x] = sram[address + y*stride_y + x*stride_x]
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"""
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@count
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def riski_store(target, address, stride_y=SZ, stride_x=1, len_y=SZ, len_x=SZ):
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stride_y, stride_x = int(stride_y), int(stride_x)
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d = regfile[target]
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np.lib.stride_tricks.as_strided(sram[address:], (len_y, len_x), (stride_y*4, stride_x*4))[:, :] = d[:len_y, :len_x]
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"""
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for y in range(0, len_y):
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for x in range(0, len_x):
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sram[address + y*stride_y + x*stride_x] = d[y, x]
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"""
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@count
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def riski_dmar(address, arr):
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