I could not find out error what i have done ,please help me to resolve this error
thank you ver much
My interpretation of that error trace is that the s_prev value being passed to the one_step_attention function in the test is the wrong shape: it’s a scalar, but a 2D tensor is expected. It also looks like maybe you edited the test function by commenting a couple of previous lines out, but maybe that’s just a misinterpretation on my part. I’ll go look at that test in more detail, but just as a general matter if the test fails, the solution is not to change the test. It’s to figure out what the failure is telling you about your code. 
sir ,
I did not edit any test cell ,since morning I have been trying different
codes to solve ,but i could not
so i tried to trace each step of code and what is happening behind ,
to know output of s_prev …thats all
yes i added some code in test cell ,and those only i commented other than that i did not modify any test cell
Here’s what that test cell looks like in a clean notebook:
# UNIT TEST
def one_step_attention_test(target):
m = 10
Tx = 30
n_a = 32
n_s = 64
#np.random.seed(10)
a = np.random.uniform(1, 0, (m, Tx, 2 * n_a)).astype(np.float32)
s_prev =np.random.uniform(1, 0, (m, n_s)).astype(np.float32) * 1
context = target(a, s_prev)
assert type(context) == tf.python.framework.ops.EagerTensor, "Unexpected type. It should be a Tensor"
assert tuple(context.shape) == (m, 1, n_s), "Unexpected output shape"
assert np.all(context.numpy() > 0), "All output values must be > 0 in this example"
assert np.all(context.numpy() < 1), "All output values must be < 1 in this example"
#assert np.allclose(context[0][0][0:5].numpy(), [0.50877404, 0.57160693, 0.45448175, 0.50074816, 0.53651875]), "Unexpected values in the result"
print("\033[92mAll tests passed!")
one_step_attention_test(one_step_attention)
So you can see that the shape of s_prev that is passed into your Function Under Test will have shape 10 x 64, right? So your code must have done something strange before that point. The calls to the repeator should be the first code that touches s_prev in our function, right?
So you didn’t edit any test cells except where you edited the test cells is what you’re saying. 
I added some print statements in my one_step_attention function and here’s what I see:
before repeator s_prev.shape = (10, 64)
after repeator s_prev.shape = (10, 30, 64)
concat.shape (10, 30, 128)
All tests passed!
Looking at your exception trace, you are invoking the repeator function incorrectly: it is an “instantiated” layer function. Look at where it was defined: it already knows the size it needs to use for the repeat. You just call it with s_prev as the argument.
sir one more question …
if we get error …how to trace …is there any process…to check test cells …
to check…in test utility files