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@ -260,14 +260,19 @@ Example:
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$$
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For exclusive = false:
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.. math::
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hstart &= i * strides[0] - paddings[0] \\
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hend &= hstart + ksize[0] \\
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wstart &= j * strides[1] - paddings[1] \\
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wend &= wstart + ksize[1] \\
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Output(i ,j) &= \\frac{sum(Input[hstart:hend, wstart:wend])}{ksize[0] * ksize[1]}
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For exclusive = true:
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.. math::
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hstart &= max(0, i * strides[0] - paddings[0]) \\
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hend &= min(H, hstart + ksize[0]) \\
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wstart &= max(0, j * strides[1] - paddings[1]) \\
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@ -275,7 +280,9 @@ Example:
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Output(i ,j) &= \\frac{sum(Input[hstart:hend, wstart:wend])}{(hend - hstart) * (wend - wstart)}
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For adaptive = true:
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.. math::
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hstart &= floor(i * H_{in} / H_{out}) \\
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hend &= ceil((i + 1) * H_{in} / H_{out}) \\
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wstart &= floor(j * W_{in} / W_{out}) \\
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@ -410,7 +417,9 @@ Example:
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$$
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For exclusive = false:
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.. math::
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dstart &= i * strides[0] - paddings[0] \\
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dend &= dstart + ksize[0] \\
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hstart &= j * strides[1] - paddings[1] \\
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@ -418,8 +427,11 @@ Example:
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wstart &= k * strides[2] - paddings[2] \\
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wend &= wstart + ksize[2] \\
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Output(i ,j, k) &= \\frac{sum(Input[dstart:dend, hstart:hend, wstart:wend])}{ksize[0] * ksize[1] * ksize[2]}
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For exclusive = true:
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.. math::
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dstart &= max(0, i * strides[0] - paddings[0]) \\
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dend &= min(D, dstart + ksize[0]) \\
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hend &= min(H, hstart + ksize[1]) \\
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@ -428,7 +440,9 @@ Example:
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Output(i ,j, k) &= \\frac{sum(Input[dstart:dend, hstart:hend, wstart:wend])}{(dend - dstart) * (hend - hstart) * (wend - wstart)}
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For adaptive = true:
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.. math::
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dstart &= floor(i * D_{in} / D_{out}) \\
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dend &= ceil((i + 1) * D_{in} / D_{out}) \\
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hstart &= floor(j * H_{in} / H_{out}) \\
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