ryfeus / gcf-packs Goto Github PK

  ...
  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'