---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py in apply_op(self, op_type_name, name, **keywords)
490 as_ref=input_arg.is_ref,
--> 491 preferred_dtype=default_dtype)
492 except TypeError as err:
/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype)
715 if ret is None:
--> 716 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
717
/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in _TensorTensorConversionFunction(t, dtype, name, as_ref)
588 "Tensor conversion requested dtype %s for Tensor with dtype %s: %r"
--> 589 % (dtype.name, t.dtype.name, str(t)))
590 return t
ValueError: Tensor conversion requested dtype float32 for Tensor with dtype int32: 'Tensor("Const_1:0", shape=(), dtype=int32)'
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
<ipython-input-11-d43fc9661d0f> in <module>()
3
4 with tf.Session() as sess:
----> 5 badOperation = sess.run( tf.multiply(x, y))
6 print( 'Never here' )
/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py in multiply(x, y, name)
355
356 def multiply(x, y, name=None):
--> 357 return gen_math_ops._mul(x, y, name)
358 multiply.__doc__ = gen_math_ops._mul.__doc__.replace("Mul", "`tf.multiply`")
359
/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/ops/gen_math_ops.py in _mul(x, y, name)
1623 A `Tensor`. Has the same type as `x`.
1624 """
-> 1625 result = _op_def_lib.apply_op("Mul", x=x, y=y, name=name)
1626 return result
1627
/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py in apply_op(self, op_type_name, name, **keywords)
520 "%s type %s of argument '%s'." %
521 (prefix, dtypes.as_dtype(attrs[input_arg.type_attr]).name,
--> 522 inferred_from[input_arg.type_attr]))
523
524 types = [values.dtype]
TypeError: Input 'y' of 'Mul' Op has type int32 that does not match type float32 of argument 'x'.