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Hi, Thanks for your sharing! I met an error while running your code with the following command:
$ python aae_mnist.py --train --ncode 2 --dist_type gaussian
It turns out to be:
[step: 100] loss: 152.4328 d_loss: 1.9309 g_loss: 3.7884 [step: 200] loss: 130.0870 d_loss: 1.8414 g_loss: 2.8809 [step: 300] loss: 118.0664 d_loss: 1.6845 g_loss: 2.2411 [step: 400] loss: 111.2656 d_loss: 1.5877 g_loss: 1.9333 ==== epoch: 0, lr:0.0002 ==== [step: 468] loss: 108.2857 d_loss: 1.5520 g_loss: 1.7980 [Valid]: [step: 468] loss: 89.4752 Traceback (most recent call last): File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1322, in _do_call return fn(*args) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1307, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1409, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InvalidArgumentError: Matrix size-incompatible: In[0]: [2,400], In[1]: [2,1000] [[Node: AE_1/decoder/decoder_FC/linear1/xw_plus_b/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](AE_1/MultivariateNormalDiag/sample/affine_linear_operator/forward/DistributionShape_1/undo_make_batch_of_event_sample_matrices/rotate_transpose/transpose, AE/decoder/decoder_FC/linear1/weights/read)]] During handling of the above exception, another exception occurred: Traceback (most recent call last): File "aae_mnist.py", line 356, in <module> train() File "aae_mnist.py", line 272, in train trainer.valid_epoch(sess, dataflow=valid_data, summary_writer=writer) File "../src/helper/trainer.py", line 428, in valid_epoch gen_im = sess.run(self._generate_op) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 900, in run run_metadata_ptr) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1135, in _run feed_dict_tensor, options, run_metadata) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1316, in _do_run run_metadata) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1335, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: Matrix size-incompatible: In[0]: [2,400], In[1]: [2,1000] [[Node: AE_1/decoder/decoder_FC/linear1/xw_plus_b/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](AE_1/MultivariateNormalDiag/sample/affine_linear_operator/forward/DistributionShape_1/undo_make_batch_of_event_sample_matrices/rotate_transpose/transpose, AE/decoder/decoder_FC/linear1/weights/read)]] Caused by op 'AE_1/decoder/decoder_FC/linear1/xw_plus_b/MatMul', defined at: File "aae_mnist.py", line 356, in <module> train() File "aae_mnist.py", line 247, in train valid_model.create_generate_model(b_size=400) File "../src/models/aae.py", line 172, in create_generate_model self.layers['generate'] = (self.decoder(decoder_in) + 1. ) / 2. File "../src/models/aae.py", line 206, in decoder wd=self._wd, name='decoder_FC', init_w=INIT_W) File "../src/models/modules.py", line 35, in decoder_FC L.linear(name='linear1', nl=nl) File "/usr/local/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 183, in func_with_args return func(*args, **current_args) File "../src/models/layers.py", line 105, in linear act = tf.nn.xw_plus_b(inputs, weights, biases) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 2219, in xw_plus_b mm = math_ops.matmul(x, weights) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py", line 2014, in matmul a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/ops/gen_math_ops.py", line 4279, in mat_mul name=name) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3414, in create_op op_def=op_def) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1740, in __init__ self._traceback = self._graph._extract_stack() # pylint: disable=protected-access InvalidArgumentError (see above for traceback): Matrix size-incompatible: In[0]: [2,400], In[1]: [2,1000] [[Node: AE_1/decoder/decoder_FC/linear1/xw_plus_b/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](AE_1/MultivariateNormalDiag/sample/affine_linear_operator/forward/DistributionShape_1/undo_make_batch_of_event_sample_matrices/rotate_transpose/transpose, AE/decoder/decoder_FC/linear1/weights/read)]]
Could you please help me with this problem? Thanks!
The text was updated successfully, but these errors were encountered:
excuse me did you solve it ?
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Hi,
Thanks for your sharing! I met an error while running your code with the following command:
It turns out to be:
Could you please help me with this problem? Thanks!
The text was updated successfully, but these errors were encountered: