I had trained the fashion-mnist model into GCS and deployed the GCF.
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File "/user_code/main.py", line 22, in call
x = self.conv1(x)
File "/env/local/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py", line 660, in __call__
outputs = self.call(inputs, *args, **kwargs)
File "/env/local/lib/python3.7/site-packages/tensorflow/python/keras/layers/convolutional.py", line 196, in call
outputs = self._convolution_op(inputs, self.kernel)
File "/env/local/lib/python3.7/site-packages/tensorflow/python/ops/nn_ops.py", line 1078, in __call__
return self.conv_op(inp, filter)
File "/env/local/lib/python3.7/site-packages/tensorflow/python/ops/nn_ops.py", line 634, in __call__
return self.call(inp, filter)
File "/env/local/lib/python3.7/site-packages/tensorflow/python/ops/nn_ops.py", line 233, in __call__
name=self.name)
File "/env/local/lib/python3.7/site-packages/tensorflow/python/ops/nn_ops.py", line 1951, in conv2d
name=name)
File "/env/local/lib/python3.7/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 1031, in conv2d
data_format=data_format, dilations=dilations, name=name, ctx=_ctx)
File "/env/local/lib/python3.7/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 1123, in conv2d_eager_fallback
_attr_T, _inputs_T = _execute.args_to_matching_eager([input, filter], _ctx)
File "/env/local/lib/python3.7/site-packages/tensorflow/python/eager/execute.py", line 202, in args_to_matching_eager
ret = [internal_convert_to_tensor(t, dtype, ctx=ctx) for t in l]
File "/env/local/lib/python3.7/site-packages/tensorflow/python/eager/execute.py", line 202, in <listcomp>
ret = [internal_convert_to_tensor(t, dtype, ctx=ctx) for t in l]
File "/env/local/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 1186, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/env/local/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py", line 1420, in _dense_var_to_tensor
return var._dense_var_to_tensor(dtype=dtype, name=name, as_ref=as_ref) # pylint: disable=protected-access
File "/env/local/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py", line 1371, in _dense_var_to_tensor
"of type {!r}".format(dtype.name, self.dtype.name))
ValueError: Incompatible type conversion requested to type 'float64' for variable of type 'float32'