我是Python 3.6.6 tensorflow 1.14.0

没有对代码作任何修改，直接运行python labcode.py时如下报错，请问这是什么原因呢？

tensorflow.python.framework.errors_impl.InternalError: 2 root error(s) found. (0) Internal: Blas xGEMMBatched launch failed : a.shape=[6520,1,96], b.shape=[6520,1,32], m=96, n=32, k=1, batch_size=6520 [[{{node gradients/matmul_74_grad/MatMul_1}}]] [[Adam/update/_148]] (1) Internal: Blas xGEMMBatched launch failed : a.shape=[6520,1,96], b.shape=[6520,1,32], m=96, n=32, k=1, batch_size=6520 [[{{node gradients/matmul_74_grad/MatMul_1}}]] 0 successful operations. 0 derived errors ignored.

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "labcode.py", line 344, in recom.run() File "labcode.py", line 50, in run reses = self.trainEpoch() File "labcode.py", line 246, in trainEpoch res = self.sess.run(target, feed_dict=feed_dict, options=config_pb2.RunOptions(report_tensor_allocations_upon_oom=True)) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 950, in run run_metadata_ptr) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1173, in _run feed_dict_tensor, options, run_metadata) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1350, in _do_run run_metadata) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1370, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InternalError: 2 root error(s) found. (0) Internal: Blas xGEMMBatched launch failed : a.shape=[6520,1,96], b.shape=[6520,1,32], m=96, n=32, k=1, batch_size=6520 [[node gradients/matmul_74_grad/MatMul_1 (defined at labcode.py:198) ]] [[Adam/update/_148]] (1) Internal: Blas xGEMMBatched launch failed : a.shape=[6520,1,96], b.shape=[6520,1,32], m=96, n=32, k=1, batch_size=6520 [[node gradients/matmul_74_grad/MatMul_1 (defined at labcode.py:198) ]] 0 successful operations. 0 derived errors ignored.

Errors may have originated from an input operation. Input Source operations connected to node gradients/matmul_74_grad/MatMul_1: ExpandDims_29 (defined at labcode.py:151)

Input Source operations connected to node gradients/matmul_74_grad/MatMul_1: ExpandDims_29 (defined at labcode.py:151)

Original stack trace for 'gradients/matmul_74_grad/MatMul_1': File "labcode.py", line 344, in recom.run() File "labcode.py", line 38, in run self.prepareModel() File "labcode.py", line 198, in prepareModel self.optimizer = tf.train.AdamOptimizer(learningRate).minimize(self.loss, global_step=globalStep) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/training/optimizer.py", line 403, in minimize grad_loss=grad_loss) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/training/optimizer.py", line 512, in compute_gradients colocate_gradients_with_ops=colocate_gradients_with_ops) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py", line 158, in gradients unconnected_gradients) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/ops/gradients_util.py", line 731, in _GradientsHelper lambda: grad_fn(op, *out_grads)) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/ops/gradients_util.py", line 403, in _MaybeCompile return grad_fn() # Exit early File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/ops/gradients_util.py", line 731, in lambda: grad_fn(op, *out_grads)) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py", line 1511, in _BatchMatMulV2 grad_y = math_ops.matmul(x, grad, adjoint_a=True, adjoint_b=False) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/util/dispatch.py", line 180, in wrapper return target(*args, **kwargs) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py", line 2609, in matmul return batch_mat_mul_fn(a, b, adj_x=adjoint_a, adj_y=adjoint_b, name=name) File "/home/wangchao/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/ops/gen_math_ops.py", line 1677, in batch_mat_mul_v2 "BatchMatMulV2", x=x, y=y, adj_x=adj_x, adj_y=adj_y, name=name) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper op_def=op_def) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3616, in create_op op_def=op_def) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2005, in init self._traceback = tf_stack.extract_stack()

...which was originally created as op 'matmul_74', defined at: File "labcode.py", line 344, in recom.run() [elided 0 identical lines from previous traceback] File "labcode.py", line 38, in run self.prepareModel() File "labcode.py", line 186, in prepareModel preds = self.predict(src, tgt) File "labcode.py", line 166, in predict return self._predict(src_ulat, src_ilat, predParams) * args.mult File "labcode.py", line 152, in _predict predEmbed = Activate(predEmbed @ params['w1'] + params['b1'], self.actFunc) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py", line 884, in binary_op_wrapper return func(x, y, name=name) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/util/dispatch.py", line 180, in wrapper return target(*args, **kwargs) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py", line 2609, in matmul return batch_mat_mul_fn(a, b, adj_x=adjoint_a, adj_y=adjoint_b, name=name) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/ops/gen_math_ops.py", line 1677, in batch_mat_mul_v2 "BatchMatMulV2", x=x, y=y, adj_x=adj_x, adj_y=adj_y, name=name) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper op_def=op_def) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3616, in create_op op_def=op_def) File "/home/user/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2005, in init self._traceback = tf_stack.extract_stack()

About the tmall data, I wonder how to use the data trn_pv.part*.rar. Does it need us to unzip the rar files and then just use one file as the input or the combination of all the files? I would appreciate very much if you help me with the question.