--------------------------------------------------------------------------- ValueError Traceback (most recent call last) <command-2620327389223312> in <module>() 1 # Construct model ----> 2 logits = neural_net(train_X) 3 4 # Define loss and optimizer 5 loss_op = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits( <command-2620327389223311> in neural_net(x) 2 def neural_net(x): 3 # Hidden fully connected layer with 256 neurons ----> 4 layer_1 = tf.add(tf.matmul(x, weights['h1']), biases['b1']) 5 # Hidden fully connected layer with 256 neurons 6 layer_2 = tf.add(tf.matmul(layer_1, weights['h2']), biases['b2']) /databricks/python/local/lib/python2.7/site-packages/tensorflow/python/ops/math_ops.pyc in matmul(a, b, transpose_a, transpose_b, adjoint_a, adjoint_b, a_is_sparse, b_is_sparse, name) 1842 else: 1843 return gen_math_ops._mat_mul( -> 1844 a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name) 1845 1846 /databricks/python/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_math_ops.pyc in _mat_mul(a, b, transpose_a, transpose_b, name) 1287 """ 1288 result = _op_def_lib.apply_op("MatMul", a=a, b=b, transpose_a=transpose_a, -> 1289 transpose_b=transpose_b, name=name) 1290 return result 1291 /databricks/python/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.pyc in apply_op(self, op_type_name, name, **keywords) 765 op = g.create_op(op_type_name, inputs, output_types, name=scope, 766 input_types=input_types, attrs=attr_protos, --> 767 op_def=op_def) 768 if output_structure: 769 outputs = op.outputs /databricks/python/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.pyc in create_op(self, op_type, inputs, dtypes, input_types, name, attrs, op_def, compute_shapes, compute_device) 2630 original_op=self._default_original_op, op_def=op_def) 2631 if compute_shapes: -> 2632 set_shapes_for_outputs(ret) 2633 self._add_op(ret) 2634 self._record_op_seen_by_control_dependencies(ret) /databricks/python/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.pyc in set_shapes_for_outputs(op) 1909 shape_func = _call_cpp_shape_fn_and_require_op 1910 -> 1911 shapes = shape_func(op) 1912 if shapes is None: 1913 raise RuntimeError( /databricks/python/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.pyc in call_with_requiring(op) 1859 1860 def call_with_requiring(op): -> 1861 return call_cpp_shape_fn(op, require_shape_fn=True) 1862 1863 _call_cpp_shape_fn_and_require_op = call_with_requiring /databricks/python/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.pyc in call_cpp_shape_fn(op, require_shape_fn) 593 res = _call_cpp_shape_fn_impl(op, input_tensors_needed, 594 input_tensors_as_shapes_needed, --> 595 require_shape_fn) 596 if not isinstance(res, dict): 597 # Handles the case where _call_cpp_shape_fn_impl calls unknown_shape(op). /databricks/python/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.pyc in _call_cpp_shape_fn_impl(op, input_tensors_needed, input_tensors_as_shapes_needed, require_shape_fn) 657 missing_shape_fn = True 658 else: --> 659 raise ValueError(err.message) 660 661 if missing_shape_fn: ValueError: Dimensions must be equal, but are 1000 and 100 for 'MatMul_3' (op: 'MatMul') with input shapes: [1718,1000], [100,33].