代码报错： Blas GEMM launch failed :【官方悬赏20元代金券】

[182****6091]

大佬们谁能告诉我，代码一点击训练就会报Blas GEMM launch failed的报错，而且从pysmi来看显存没有进程在用
Caused by op ‘gradients/tower_1/predict_same/predict/fc/fc_2/MatMul_grad/MatMul_1’, defined at:
File “train_siamese.py”, line 29, in <module>
net.model()
File “/hy-tmp/MultiBranch_CNNCopyMove_Disambiguation-master/siamese_single_net.py”, line 88, in model
grad = self._opt.compute_gradients(loss, var_list=self.get_variables())
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/optimizer.py”, line 512, in compute_gradients
colocate_gradients_with_ops=colocate_gradients_with_ops)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/gradients_impl.py”, line 664, in gradients
unconnected_gradients)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/gradients_impl.py”, line 965, in _GradientsHelper
lambda: grad_fn(op, *out_grads))
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/gradients_impl.py”, line 420, in _MaybeCompile
return grad_fn() # Exit early
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/gradients_impl.py”, line 965, in <lambda>
lambda: grad_fn(op, *out_grads))
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/math_grad.py”, line 1132, in _MatMulGrad
grad_b = gen_math_ops.mat_mul(a, grad, transpose_a=True)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/gen_math_ops.py”, line 5333, in mat_mul
name=name)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/op_def_library.py”, line 788, in _apply_op_helper
op_def=op_def)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/deprecation.py”, line 507, in new_func
return func(*args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py”, line 3300, in create_op
op_def=op_def)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py”, line 1801, in init
self._traceback = tf_stack.extract_stack()

…which was originally created as op ‘tower_1/predict_same/predict/fc/fc_2/MatMul’, defined at:
File “train_siamese.py”, line 29, in <module>
net.model()
File “/hy-tmp/MultiBranch_CNNCopyMove_Disambiguation-master/siamese_single_net.py”, line 79, in model
out_ab = self.predict(feat_ab, name=‘predict’)
File “/hy-tmp/MultiBranch_CNNCopyMove_Disambiguation-master/siamese_single_net.py”, line 138, in predict
out = layers.stack(feat_ab, layers.fully_connected, [1024,256], scope=‘fc’)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/contrib/layers/python/layers/layers.py”, line 3057, in stack
outputs = layer(outputs, *layer_args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/contrib/framework/python/ops/arg_scope.py”, line 182, in func_with_args
return func(*args, **current_args)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/contrib/layers/python/layers/layers.py”, line 1855, in fully_connected
outputs = layer.apply(inputs)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py”, line 1227, in apply
return self.call(inputs, *args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/layers/base.py”, line 530, in call
outputs = super(Layer, self).call(inputs, *args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py”, line 554, in call
outputs = self.call(inputs, *args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/layers/core.py”, line 975, in call
outputs = gen_math_ops.mat_mul(inputs, self.kernel)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/gen_math_ops.py”, line 5333, in mat_mul
name=name)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/op_def_library.py”, line 788, in _apply_op_helper
op_def=op_def)
File “/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/deprecation.py”, line 507, in new_func
return func(*args, **kwargs)

InternalError (see above for traceback): Blas GEMM launch failed : a.shape=(128, 1024), b.shape=(128, 256), m=1024, n=256, k=128
[[node gradients/tower_1/predict_same/predict/fc/fc_2/MatMul_grad/MatMul_1 (defined at /hy-tmp/MultiBranch_CNNCopyMove_Disambiguation-master/siamese_single_net.py:88) ]]
[[node Adam/update (defined at /hy-tmp/MultiBranch_CNNCopyMove_Disambiguation-master/siamese_single_net.py:98) ]]

root@Ia3646c1ff00501b77:/hy-tmp/MultiBranch_CNNCopyMove_Disambiguation-master#

[Alice_恒源云]

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