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2021-06-15 02:56:27
        _, _, _op, _outputs = _op_def_library._apply_op_helper(
2021-06-15 02:56:27
    /opt/conda/envs/singy-conda/lib/python3.9/site-packages/tensorflow/python/framework/op_def_library.py:748 _apply_op_helper
2021-06-15 02:56:27
        op = g._create_op_internal(op_type_name, inputs, dtypes=None,
2021-06-15 02:56:27
    /opt/conda/envs/singy-conda/lib/python3.9/site-packages/tensorflow/python/framework/func_graph.py:599 _create_op_internal
2021-06-15 02:56:27
        return super(FuncGraph, self)._create_op_internal(  # pylint: disable=protected-access
2021-06-15 02:56:27
    /opt/conda/envs/singy-conda/lib/python3.9/site-packages/tensorflow/python/framework/ops.py:3557 _create_op_internal
2021-06-15 02:56:27
        ret = Operation(
2021-06-15 02:56:27
    /opt/conda/envs/singy-conda/lib/python3.9/site-packages/tensorflow/python/framework/ops.py:2041 __init__
2021-06-15 02:56:27
        self._c_op = _create_c_op(self._graph, node_def, inputs,
2021-06-15 02:56:27
    /opt/conda/envs/singy-conda/lib/python3.9/site-packages/tensorflow/python/framework/ops.py:1883 _create_c_op
2021-06-15 02:56:27
        raise ValueError(str(e))
2021-06-15 02:56:27
    ValueError: Shape must be rank 4 but is rank 2 for '{{node model/tf.nn.convolution/convolution}} = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], explicit_paddings=[], padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true](ExpandDims, model/tf.nn.convolution/convolution/ReadVariableOp)' with input shapes: [?,1], [3,3,3,64].
2021-06-15 02:56:27
Random indicies [ 225  230   74  252 1904 1183 1208  443 1621 1241]
2021-06-15 02:56:27
non stateful model