def test_init(self, BatchNormLayer, init_unique):
input_shape = (2, 3, 4)
# default: normalize over all but second axis
beta = BatchNormLayer(input_shape, beta=init_unique).beta
assert np.allclose(beta.get_value(), init_unique((3, )))
# normalize over first axis only
beta = BatchNormLayer(input_shape, beta=init_unique, axes=0).beta
assert np.allclose(beta.get_value(), init_unique((3, 4)))
# normalize over second and third axis
beta = BatchNormLayer(input_shape, beta=init_unique, axes=(1, 2)).beta
assert np.allclose(beta.get_value(), init_unique((2, )))
def test_init(self, BatchNormLayer, init_unique):
input_shape = (2, 3, 4)
# default: normalize over all but second axis
beta = BatchNormLayer(input_shape, beta=init_unique).beta
assert np.allclose(beta.get_value(), init_unique((3,)))
# normalize over first axis only
beta = BatchNormLayer(input_shape, beta=init_unique, axes=0).beta
assert np.allclose(beta.get_value(), init_unique((3, 4)))
# normalize over second and third axis
beta = BatchNormLayer(input_shape, beta=init_unique, axes=(1, 2)).beta
assert np.allclose(beta.get_value(), init_unique((2,)))
def test_init(self, BatchNormLayer, init_unique):
input_shape = (2, 3, 4)
# default: normalize over all but second axis
beta = BatchNormLayer(input_shape, beta=init_unique).beta
assert np.allclose(beta.get_value(), init_unique((3, )))
# normalize over first axis only
beta = BatchNormLayer(input_shape, beta=init_unique, axes=0).beta
assert np.allclose(beta.get_value(), init_unique((3, 4)))
# normalize over second and third axis
try:
beta = BatchNormLayer(input_shape, beta=init_unique,
axes=(1, 2)).beta
assert np.allclose(beta.get_value(), init_unique((2, )))
except ValueError as exc:
assert "BatchNormDNNLayer only supports" in exc.args[0]
def test_init(self, BatchNormLayer, init_unique):
input_shape = (2, 3, 4)
# default: normalize over all but second axis
beta = BatchNormLayer(input_shape, beta=init_unique).beta
assert np.allclose(beta.get_value(), init_unique((3,)))
# normalize over first axis only
beta = BatchNormLayer(input_shape, beta=init_unique, axes=0).beta
assert np.allclose(beta.get_value(), init_unique((3, 4)))
# normalize over second and third axis
try:
beta = BatchNormLayer(
input_shape, beta=init_unique, axes=(1, 2)).beta
assert np.allclose(beta.get_value(), init_unique((2,)))
except ValueError as exc:
assert "BatchNormDNNLayer only supports" in exc.args[0]