Hi guys,
Been trying to fix this for several hours now, but all of my attempts have been unsuccessful so far. Could anybody point me to the right direction?
ERROR:
InvalidArgumentError Traceback (most recent call last)
in
2 a_S = tf.random.normal([1, 4, 4, 3], mean=1, stddev=4)
3 a_G = tf.random.normal([1, 4, 4, 3], mean=1, stddev=4)
----> 4 J_style_layer_GG = compute_layer_style_cost(a_G, a_G)
5 J_style_layer_SG = compute_layer_style_cost(a_S, a_G)
6
in compute_layer_style_cost(a_S, a_G)
25
26 # Computing the loss (≈1 line)
—> 27 J_style_layer = (1/(4*tf.square(n_C)tf.square(n_Hn_W))) * tf.reduce_sum(tf.square(tf.subtract(GS,GG)))
28
29 ### END CODE HERE
/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py in binary_op_wrapper(x, y)
1123 with ops.name_scope(None, op_name, [x, y]) as name:
1124 try:
→ 1125 return func(x, y, name=name)
1126 except (TypeError, ValueError) as e:
1127 # Even if dispatching the op failed, the RHS may be a tensor aware
/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py in _mul_dispatch(x, y, name)
1455 return sparse_tensor.SparseTensor(y.indices, new_vals, y.dense_shape)
1456 else:
→ 1457 return multiply(x, y, name=name)
1458
1459
/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/dispatch.py in wrapper(*args, **kwargs)
199 “”“Call target, and fall back on dispatchers if there is a TypeError.”""
200 try:
→ 201 return target(*args, **kwargs)
202 except (TypeError, ValueError):
203 # Note: convert_to_eager_tensor currently raises a ValueError, not a
/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py in multiply(x, y, name)
507 “”"
508
→ 509 return gen_math_ops.mul(x, y, name)
510
511
/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_math_ops.py in mul(x, y, name)
6164 return _result
6165 except _core._NotOkStatusException as e:
→ 6166 _ops.raise_from_not_ok_status(e, name)
6167 except _core._FallbackException:
6168 pass
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py in raise_from_not_ok_status(e, name)
6841 message = e.message + (" name: " + name if name is not None else “”)
6842 # pylint: disable=protected-access
→ 6843 six.raise_from(core._status_to_exception(e.code, message), None)
6844 # pylint: enable=protected-access
6845
/usr/local/lib/python3.6/dist-packages/six.py in raise_from(value, from_value)
InvalidArgumentError: cannot compute Mul as input #1(zero-based) was expected to be a double tensor but is a float tensor [Op:Mul]