Esempio n. 1
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def mean(y, x, axis=DEFAULT, dtype=DEFAULT, keepdims=DEFAULT):
    n = tangent.astype(tangent.array_size(x, axis), x)
    d[x] = tangent.astype(
        tangent.unreduce(d[y], numpy.shape(x), axis, keepdims), x) / n
Esempio n. 2
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def sum(y, x, axis=DEFAULT, dtype=DEFAULT, keepdims=DEFAULT):
    d[x] = tangent.astype(
        tangent.unreduce(d[y], numpy.shape(x), axis, keepdims), x)
Esempio n. 3
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def tunreduce(z, array, shape, axis, keepdims):
    d[z] = tangent.unreduce(d[array], d[shape], axis, keepdims)
Esempio n. 4
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def mean(y, x, axis=None, dtype=None, keepdims=False):
    n = tangent.astype(tangent.array_size(x, axis), x)
    d[x] = tangent.astype(
        tangent.unreduce(d[y], numpy.shape(x), axis, keepdims), x) / n
Esempio n. 5
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def sum(y, x, axis=None, dtype=None, keepdims=False):
    d[x] = tangent.astype(
        tangent.unreduce(d[y], numpy.shape(x), axis, keepdims), x)
Esempio n. 6
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def unbroadcast(y, array, shape):
    d[array] = tangent.unreduce(d[y], numpy.shape(array), None, False)