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))
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
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
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
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))
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