def verify_reverse_sequence(x_data, seq_lengths, batch_axis, seq_axis, ref_res):
seq_lengths_data = np.array(seq_lengths).astype('int32')
x = relay.var('x', relay.TensorType(x_data.shape, str(x_data.dtype)))
z = relay.reverse_sequence(x, relay.const(seq_lengths_data), seq_axis, batch_axis)
zz = run_infer_type(z)
assert (zz.checked_type == x.type_annotation)
func = relay.Function([x], z)
for (target, ctx) in tvm.testing.enabled_targets():
for kind in ['graph', 'debug']:
intrp = relay.create_executor(kind, ctx=ctx, target=target)
op_res = intrp.evaluate(func)(x_data)
tvm.testing.assert_allclose(op_res.asnumpy(), ref_res, rtol=1e-05)
def verify_reverse_sequence(x_data, seq_lengths, batch_axis, seq_axis,
ref_res):
seq_lengths_data = np.array(seq_lengths).astype("int32")
x = relay.var("x", relay.TensorType(x_data.shape, str(x_data.dtype)))
z = relay.reverse_sequence(x, relay.const(seq_lengths_data), seq_axis,
batch_axis)
zz = run_infer_type(z)
assert zz.checked_type == x.type_annotation
func = relay.Function([x], z)
for target, ctx in ctx_list():
for kind in ["graph", "debug"]:
intrp = relay.create_executor(kind, ctx=ctx, target=target)
op_res = intrp.evaluate(func)(x_data)
tvm.testing.assert_allclose(op_res.asnumpy(),
ref_res,
rtol=1e-5)
