def export_inverse_batched(): # type: () -> None
node = onnx.helper.make_node('Inverse', inputs=['x'], outputs=['y'])
X = np.random.randn(2, 3, 4, 4)
Y = inverse_reference_implementation(X)
expect(node, inputs=[X], outputs=[Y], name='test_inverse_batched')
def export_squeeze(): # type: () -> None
node = onnx.helper.make_node(
'Squeeze',
inputs=['x', 'axes'],
outputs=['y'],
)
x = np.random.randn(1, 3, 4, 5).astype(np.float32)
axes = np.array([0], dtype=np.int64)
y = np.squeeze(x, axis=0)
expect(node, inputs=[x, axes], outputs=[y], name='test_squeeze')
def export_squeeze_negative_axes() -> None:
node = onnx.helper.make_node(
'Squeeze',
inputs=['x', 'axes'],
outputs=['y'],
)
x = np.random.randn(1, 3, 1, 5).astype(np.float32)
axes = np.array([-2], dtype=np.int64)
y = np.squeeze(x, axis=-2)
expect(node, inputs=[x, axes], outputs=[y],
name='test_squeeze_negative_axes')
def export_squeeze_negative_axes(): # type: () -> None
node = onnx.helper.make_node(
'Squeeze',
inputs=['x'],
outputs=['y'],
axes=[-2],
)
x = np.random.randn(1, 3, 1, 5).astype(np.float32)
y = np.squeeze(x, axis=-2)
expect(node,
inputs=[x],
outputs=[y],
name='test_squeeze_negative_axes')
