Error about text2image HOT 2 CLOSED

did you assign floatX flag to be equal to float32

from text2image.

sure

envy@ub1404:/os_pri/github/text2image$ THEANO_FLAGS='floatX=float32' python coco/alignDraw.py coco/models/coco-captions-32x32.json
Using gpu device 0: GeForce GTX 950M (CNMeM is disabled, CuDNN 4007)
coco/alignDraw.py:343: FutureWarning: comparison to None will result in an elementwise object comparison in the future.
if valData != None:
Traceback (most recent call last):
File "coco/alignDraw.py", line 617, in
rvae = ReccurentAttentionVAE(dimY, dimLangRNN, dimAlign, dimX, dimReadAttent, dimWriteAttent, dimRNNEnc, dimRNNDec, dimZ, runSteps, batch_size, reduceLRAfter, data, data_captions, valData=val_data, valDataCaptions=val_data_captions, pathToWeights=pathToWeights)
File "coco/alignDraw.py", line 355, in init
self._kl_final, self._logpxz, self._log_likelihood, self._c_ts, self._c_ts_gener, self._x, self._y, self._run_steps, self._updates_train, self._updates_gener, self._read_attent_params, self._write_attent_params, self._write_attent_params_gener, self._alphas_gener, self._params, self._mu_prior_t_gener, self._log_sigma_prior_t_gener = build_lang_encoder_and_attention_vae_decoder(self.dimY, self.dimLangRNN, self.dimAlign, self.dimX, self.dimReadAttent, self.dimWriteAttent, self.dimRNNEnc, self.dimRNNDec, self.dimZ, self.runSteps, self.pathToWeights)
File "coco/alignDraw.py", line 294, in build_lang_encoder_and_attention_vae_decoder
sequences=eps, outputs_info=[c0, h0_dec, cell0_dec, h0_enc, cell0_enc, kl_0, mu_prior_0, log_sigma_prior_0, None, None], non_sequences=all_params, n_steps=run_steps)
File "/home/envy/.local/lib/python2.7/site-packages/theano/scan_module/scan.py", line 1041, in scan
scan_outs = local_op(*scan_inputs)
File "/home/envy/.local/lib/python2.7/site-packages/theano/gof/op.py", line 611, in call
node = self.make_node(_inputs, *_kwargs)
File "/home/envy/.local/lib/python2.7/site-packages/theano/scan_module/scan_op.py", line 538, in make_node
inner_sitsot_out.type.dtype))
ValueError: When compiling the inner function of scan the following error has been encountered: The initial state (outputs_info in scan nomenclature) of variable IncSubtensor{Set;:int64:}.0 (argument number 1) has dtype float32, while the result of the inner function (fn) has dtype float64. This can happen if the inner function of scan results in an upcast or downcast.
envy@ub1404:/os_pri/github/text2image$

but it works on mnist dataset like:
envy@ub1404:~/os_pri/github/text2image$ python mnist-captions/alignDraw.py mnist-captions/models/mnist-captions.json
Using gpu device 0: GeForce GTX 950M (CNMeM is disabled, CuDNN 4007)
(50000, 784) (50000,) (10000, 784) (10000,)
Banned configurations are :
[5, 1, 2, 8, 0, 3, 3, 10, 9, 0, 0, 4]
Train Dataset
(10000, 3600) (10000, 12) [1176, 1140, 1193, 1317, 1288, 1274, 1331, 1281]
mnist-captions/alignDraw.py:337: FutureWarning: comparison to None will result in an elementwise object comparison in the future.
if valData != None:
Val Dataset
(10000, 3600) (10000, 12) [1101, 1153, 1229, 1316, 1228, 1332, 1314, 1327]
building gradient function
0:00:12.684201
building train function
0:10:49.556639
Epoch 0 took 0:15:29.012441
Train Results
22.5236268711 1385.53319336 1408.0568158
Validation Results
building validate function
0:00:29.504751
20.0507067261 1111.01946533 1131.07016968

Recreated Train Dataset
[1161, 1189, 1130, 1333, 1282, 1294, 1300, 1311]

Epoch 1 took 0:14:09.783145
Train Results
13.5244888062 748.785505981 762.309996948
Recreated Train Dataset
[1154, 1133, 1218, 1289, 1294, 1264, 1341, 1307]

Epoch 2 took 0:13:24.739994
Train Results
25.99415979 627.837939148 653.832095032
Recreated Train Dataset
[1168, 1218, 1116, 1261, 1332, 1273, 1276, 1356]

from text2image.