Exemple #1
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def test_randomly_replace_elements():
    for val in (0.0, 0.5, 5):
        for p in (0.1, 0.2, 0.5, 0.75, 0.99):
            X = np.random.normal(size=(1024, 2048)).astype(np.float32)
            Xd = op.to_gpu(X)
            Xr, M = op.randomly_replace_elements(X, p, val)
            assert (Xr is X)
            assert_almost_equal((X == val).mean(),
                                p,
                                decimal=2,
                                err_msg="val: %.1f p: %.1f" % (val, p))
            assert_almost_equal(M.mean(),
                                1 - p,
                                decimal=2,
                                err_msg="M val: %.1f p: %.1f" % (val, p))

            Xrd, Md = op.randomly_replace_elements(Xd, p, val)
            assert (Xrd is Xd)
            assert_almost_equal(op.to_cpu(op.mean(Xd == val)),
                                p,
                                decimal=2,
                                err_msg="val: %.1f p: %.1f (gpu)" % (val, p))
            assert_almost_equal(op.to_cpu(op.mean(Md)),
                                1 - p,
                                decimal=2,
                                err_msg="M val: %.1f p: %.1f (gpu)" % (val, p))
Exemple #2
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def inplace_dropin(X, rate, value, stream=None):
    if isinstance(X, op.gpuarray.GPUArray):
        return op.randomly_replace_elements(X, rate, value, stream=stream)
    else:
        M = (op.rand_uniform_like(X) < rate)
        X[M.astype(np.bool)] = value
    return X, M
Exemple #3
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def inplace_dropin(X, rate, value, stream=None):
    if isinstance(X, op.gpuarray.GPUArray):
        return op.randomly_replace_elements(X, rate, value, stream=stream)
    else:
        M = (op.rand_uniform_like(X) < rate)
        X[M.astype(np.bool)] = value
    return X, M
Exemple #4
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 def _corrupt_input(self, X, stream=None):
     if self.dropout > 0.0:
         return op.randomly_replace_elements(X,
                                             self.dropout,
                                             self.dropout_value,
                                             stream=stream)
     else:
         return X, None
Exemple #5
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def test_randomly_replace_elements():
    for val in (0.0, 0.5, 5):
        for p in (0.1, 0.2, 0.5, 0.75, 0.99):
            X = np.random.normal(size=(1024, 2048)).astype(np.float32)
            Xd = op.to_gpu(X)
            Xr, M = op.randomly_replace_elements(X, p, val)
            assert(Xr is X)
            assert_almost_equal((X == val).mean(), p, decimal=2,
                                err_msg="val: %.1f p: %.1f" % (val, p))
            assert_almost_equal(M.mean(), 1-p, decimal=2,
                                err_msg="M val: %.1f p: %.1f" % (val, p))

            Xrd, Md = op.randomly_replace_elements(Xd, p, val)
            assert(Xrd is Xd)
            assert_almost_equal(op.to_cpu(op.mean(Xd == val)), p, decimal=2,
                                err_msg="val: %.1f p: %.1f (gpu)" % (val, p))
            assert_almost_equal(op.to_cpu(op.mean(Md)), 1-p, decimal=2,
                                err_msg="M val: %.1f p: %.1f (gpu)" % (val, p))
Exemple #6
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 def _corrupt_input(self, X, stream=None):
     if self.dropout > 0.0:
         return op.randomly_replace_elements(X, self.dropout, self.dropout_value, stream=stream)
     else:
         return X, None