In [1]:

    

from __future__ import print_function

from keras import backend as K
K.set_image_dim_ordering('th') # ensure our dimension notation matches

from keras.models import Sequential
from keras.layers import Dense, Dropout
from keras.layers import Reshape
from keras.layers.core import Activation
from keras.layers.normalization import BatchNormalization
from keras.layers.convolutional import UpSampling2D
from keras.layers.convolutional import Convolution2D, AveragePooling2D
from keras.layers.core import Flatten
from keras.optimizers import SGD, Adam
from keras.datasets import mnist
from keras import utils
import numpy as np
from PIL import Image, ImageOps
import argparse
import math

import os
import os.path

import glob


    

    




Using TensorFlow backend.

In [2]:

    

def generator_model():
    model = Sequential()
    model.add(Dense(input_dim=100, output_dim=1024))
    model.add(Activation('tanh'))
    model.add(Dense(128*8*8))
    model.add(BatchNormalization())
    model.add(Activation('tanh'))
    model.add(Reshape((128, 8, 8), input_shape=(128*8*8,)))
    model.add(UpSampling2D(size=(4, 4)))
    model.add(Convolution2D(64, 5, 5, border_mode='same'))
    model.add(Activation('tanh'))
    model.add(UpSampling2D(size=(4, 4)))
    model.add(Convolution2D(1, 5, 5, border_mode='same'))
    model.add(Activation('tanh'))
    return model


def discriminator_model():
    model = Sequential()
    model.add(Convolution2D(
                        64, 5, 5,
                        border_mode='same',
                        input_shape=(1, 128, 128)))
    model.add(Activation('tanh'))
    model.add(AveragePooling2D(pool_size=(4, 4)))
    model.add(Convolution2D(128, 5, 5))
    model.add(Activation('tanh'))
    model.add(AveragePooling2D(pool_size=(2, 2)))
    model.add(Flatten())
    model.add(Dense(256))
    model.add(Activation('tanh'))
    model.add(Dense(1))
    model.add(Activation('sigmoid'))
    return model


def generator_containing_discriminator(generator, discriminator):
    model = Sequential()
    model.add(generator)
    discriminator.trainable = False
    model.add(discriminator)
    return model


def combine_images(generated_images):
    num = generated_images.shape[0]
    width = int(math.sqrt(num))
    height = int(math.ceil(float(num)/width))
    shape = generated_images.shape[2:]
    image = np.zeros((height*shape[0], width*shape[1]),
                     dtype=generated_images.dtype)
    for index, img in enumerate(generated_images):
        i = int(index/width)
        j = index % width
        image[i*shape[0]:(i+1)*shape[0], j*shape[1]:(j+1)*shape[1]] = \
            img[0, :, :]
    return image


    

In [3]:

    

model = generator_model()
print(model.summary())


    

    




_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
dense_1 (Dense)              (None, 1024)              103424    
_________________________________________________________________
activation_1 (Activation)    (None, 1024)              0         
_________________________________________________________________
dense_2 (Dense)              (None, 8192)              8396800   
_________________________________________________________________
batch_normalization_1 (Batch (None, 8192)              32768     
_________________________________________________________________
activation_2 (Activation)    (None, 8192)              0         
_________________________________________________________________
reshape_1 (Reshape)          (None, 128, 8, 8)         0         
_________________________________________________________________
up_sampling2d_1 (UpSampling2 (None, 128, 32, 32)       0         
_________________________________________________________________
conv2d_1 (Conv2D)            (None, 64, 32, 32)        204864    
_________________________________________________________________
activation_3 (Activation)    (None, 64, 32, 32)        0         
_________________________________________________________________
up_sampling2d_2 (UpSampling2 (None, 64, 128, 128)      0         
_________________________________________________________________
conv2d_2 (Conv2D)            (None, 1, 128, 128)       1601      
_________________________________________________________________
activation_4 (Activation)    (None, 1, 128, 128)       0         
=================================================================
Total params: 8,739,457
Trainable params: 8,723,073
Non-trainable params: 16,384
_________________________________________________________________
None






    




/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:3: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(input_dim=100, units=1024)`
  This is separate from the ipykernel package so we can avoid doing imports until
/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:10: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(64, (5, 5), padding="same")`
  # Remove the CWD from sys.path while we load stuff.
/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:13: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(1, (5, 5), padding="same")`
  del sys.path[0]

In [4]:

    

def load_data(pixels=128, verbose=False):
    print("Loading data")
    X_train = []
    paths = glob.glob(os.path.normpath(os.getcwd() + '/logos/*.jpg'))
    for path in paths:
        if verbose: print(path)
        im = Image.open(path)
        im = ImageOps.fit(im, (pixels, pixels), Image.ANTIALIAS)
        im = ImageOps.grayscale(im)
        #im.show()
        im = np.asarray(im)
        X_train.append(im)
    print("Finished loading data")
    return np.array(X_train)

def train(epochs, BATCH_SIZE, weights=False):
    """
    :param epochs: Train for this many epochs
    :param BATCH_SIZE: Size of minibatch
    :param weights: If True, load weights from file, otherwise train the model from scratch. 
    Use this if you have already saved state of the network and want to train it further.
    """
    X_train = load_data()
    X_train = (X_train.astype(np.float32) - 127.5)/127.5
    X_train = X_train.reshape((X_train.shape[0], 1) + X_train.shape[1:])
    discriminator = discriminator_model()
    generator = generator_model()
    if weights:
        generator.load_weights('goodgenerator.h5')
        discriminator.load_weights('gooddiscriminator.h5')
    discriminator_on_generator = \
        generator_containing_discriminator(generator, discriminator)
    d_optim = SGD(lr=0.0005, momentum=0.9, nesterov=True)
    g_optim = SGD(lr=0.0005, momentum=0.9, nesterov=True)
    generator.compile(loss='binary_crossentropy', optimizer="SGD")
    discriminator_on_generator.compile(
        loss='binary_crossentropy', optimizer=g_optim)
    discriminator.trainable = True
    discriminator.compile(loss='binary_crossentropy', optimizer=d_optim)
    noise = np.zeros((BATCH_SIZE, 100))
    for epoch in range(epochs):
        print("Epoch is", epoch)
        print("Number of batches", int(X_train.shape[0]/BATCH_SIZE))
        for index in range(int(X_train.shape[0]/BATCH_SIZE)):
            for i in range(BATCH_SIZE):
                noise[i, :] = np.random.uniform(-1, 1, 100)
            image_batch = X_train[index*BATCH_SIZE:(index+1)*BATCH_SIZE]
            generated_images = generator.predict(noise, verbose=0)
            #print(generated_images.shape)
            if index % 20 == 0 and epoch % 10 == 0:
                image = combine_images(generated_images)
                image = image*127.5+127.5
                destpath = os.path.normpath(os.getcwd()+ "/logo-generated-images/"+str(epoch)+"_"+str(index)+".png")
                Image.fromarray(image.astype(np.uint8)).save(destpath)
            X = np.concatenate((image_batch, generated_images))
            y = [1] * BATCH_SIZE + [0] * BATCH_SIZE
            d_loss = discriminator.train_on_batch(X, y)
            print("batch %d d_loss : %f" % (index, d_loss))
            for i in range(BATCH_SIZE):
                noise[i, :] = np.random.uniform(-1, 1, 100)
            discriminator.trainable = False
            g_loss = discriminator_on_generator.train_on_batch(
                noise, [1] * BATCH_SIZE)
            discriminator.trainable = True
            print("batch %d g_loss : %f" % (index, g_loss))
            if epoch % 10 == 9:
                generator.save_weights('goodgenerator.h5', True)
                discriminator.save_weights('gooddiscriminator.h5', True)

def clean(image):
    for i in range(1, image.shape[0] - 1):
        for j in range(1, image.shape[1] - 1):
            if image[i][j] + image[i+1][j] + image[i][j+1] + image[i-1][j] + image[i][j-1] > 127 * 5:
                image[i][j] = 255
    return image
def generate(BATCH_SIZE):
    generator = generator_model()
    generator.compile(loss='binary_crossentropy', optimizer="SGD")
    generator.load_weights('goodgenerator.h5')
    noise = np.zeros((BATCH_SIZE, 100))
    a = np.random.uniform(-1, 1, 100)
    b = np.random.uniform(-1, 1, 100)
    grad = (b - a) / BATCH_SIZE
    for i in range(BATCH_SIZE):
        noise[i, :] = np.random.uniform(-1, 1, 100)
    generated_images = generator.predict(noise, verbose=1)
    #image = combine_images(generated_images)
    print(generated_images.shape)
    for image in generated_images:
        image = image[0]
        image = image*127.5+127.5
        Image.fromarray(image.astype(np.uint8)).save("dirty.png")
        Image.fromarray(image.astype(np.uint8)).show()
        clean(image)
        image = Image.fromarray(image.astype(np.uint8))
        image.show()        
        image.save("clean.png")


def get_args():
    parser = argparse.ArgumentParser()
    parser.add_argument("--mode", type=str)
    parser.add_argument("--batch_size", type=int, default=128)
    parser.add_argument("--nice", dest="nice", action="store_true")
    parser.set_defaults(nice=False)
    args = parser.parse_args()
    return args


    

In [5]:

    

train(400, 10, False)


    

    




Loading data
Finished loading data
Epoch is 0
Number of batches 3






    




/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:23: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(64, (5, 5), input_shape=(1, 128, 1..., padding="same")`
/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:26: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(128, (5, 5))`
/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:3: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(input_dim=100, units=1024)`
  This is separate from the ipykernel package so we can avoid doing imports until
/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:10: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(64, (5, 5), padding="same")`
  # Remove the CWD from sys.path while we load stuff.
/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:13: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(1, (5, 5), padding="same")`
  del sys.path[0]






    




batch 0 d_loss : 0.625051
batch 0 g_loss : 0.699870
batch 1 d_loss : 0.598545
batch 1 g_loss : 0.685610
batch 2 d_loss : 0.559805
batch 2 g_loss : 0.688802
Epoch is 1
Number of batches 3
batch 0 d_loss : 0.539188
batch 0 g_loss : 0.686688
batch 1 d_loss : 0.500435
batch 1 g_loss : 0.700071
batch 2 d_loss : 0.472255
batch 2 g_loss : 0.705819
Epoch is 2
Number of batches 3
batch 0 d_loss : 0.460865
batch 0 g_loss : 0.701458
batch 1 d_loss : 0.432658
batch 1 g_loss : 0.699923
batch 2 d_loss : 0.408938
batch 2 g_loss : 0.709426
Epoch is 3
Number of batches 3
batch 0 d_loss : 0.410810
batch 0 g_loss : 0.696483
batch 1 d_loss : 0.403814
batch 1 g_loss : 0.698115
batch 2 d_loss : 0.409418
batch 2 g_loss : 0.703899
Epoch is 4
Number of batches 3
batch 0 d_loss : 0.413991
batch 0 g_loss : 0.683681
batch 1 d_loss : 0.418286
batch 1 g_loss : 0.681528
batch 2 d_loss : 0.424411
batch 2 g_loss : 0.697399
Epoch is 5
Number of batches 3
batch 0 d_loss : 0.422089
batch 0 g_loss : 0.661628
batch 1 d_loss : 0.423632
batch 1 g_loss : 0.648105
batch 2 d_loss : 0.445086
batch 2 g_loss : 0.702213
Epoch is 6
Number of batches 3
batch 0 d_loss : 0.469619
batch 0 g_loss : 0.657063
batch 1 d_loss : 0.484568
batch 1 g_loss : 0.667713
batch 2 d_loss : 0.481951
batch 2 g_loss : 0.671668
Epoch is 7
Number of batches 3
batch 0 d_loss : 0.484873
batch 0 g_loss : 0.628990
batch 1 d_loss : 0.494274
batch 1 g_loss : 0.642383
batch 2 d_loss : 0.534823
batch 2 g_loss : 0.646819
Epoch is 8
Number of batches 3
batch 0 d_loss : 0.519300
batch 0 g_loss : 0.657712
batch 1 d_loss : 0.517676
batch 1 g_loss : 0.619494
batch 2 d_loss : 0.533011
batch 2 g_loss : 0.649121
Epoch is 9
Number of batches 3
batch 0 d_loss : 0.548111
batch 0 g_loss : 0.666279
batch 1 d_loss : 0.527452
batch 1 g_loss : 0.656299
batch 2 d_loss : 0.520941
batch 2 g_loss : 0.656341
Epoch is 10
Number of batches 3
batch 0 d_loss : 0.516644
batch 0 g_loss : 0.688660
batch 1 d_loss : 0.513072
batch 1 g_loss : 0.721271
batch 2 d_loss : 0.510540
batch 2 g_loss : 0.727845
Epoch is 11
Number of batches 3
batch 0 d_loss : 0.503300
batch 0 g_loss : 0.751831
batch 1 d_loss : 0.483259
batch 1 g_loss : 0.747434
batch 2 d_loss : 0.479721
batch 2 g_loss : 0.784219
Epoch is 12
Number of batches 3
batch 0 d_loss : 0.484739
batch 0 g_loss : 0.795097
batch 1 d_loss : 0.464233
batch 1 g_loss : 0.796460
batch 2 d_loss : 0.465012
batch 2 g_loss : 0.858558
Epoch is 13
Number of batches 3
batch 0 d_loss : 0.467533
batch 0 g_loss : 0.874319
batch 1 d_loss : 0.457521
batch 1 g_loss : 0.889799
batch 2 d_loss : 0.458467
batch 2 g_loss : 0.890477
Epoch is 14
Number of batches 3
batch 0 d_loss : 0.466051
batch 0 g_loss : 0.947125
batch 1 d_loss : 0.452576
batch 1 g_loss : 0.918608
batch 2 d_loss : 0.449392
batch 2 g_loss : 0.938093
Epoch is 15
Number of batches 3
batch 0 d_loss : 0.447489
batch 0 g_loss : 0.954487
batch 1 d_loss : 0.444698
batch 1 g_loss : 0.964346
batch 2 d_loss : 0.429853
batch 2 g_loss : 0.970672
Epoch is 16
Number of batches 3
batch 0 d_loss : 0.435716
batch 0 g_loss : 0.997705
batch 1 d_loss : 0.433653
batch 1 g_loss : 1.016691
batch 2 d_loss : 0.418268
batch 2 g_loss : 1.006921
Epoch is 17
Number of batches 3
batch 0 d_loss : 0.419525
batch 0 g_loss : 1.021392
batch 1 d_loss : 0.409558
batch 1 g_loss : 1.006359
batch 2 d_loss : 0.390775
batch 2 g_loss : 1.023098
Epoch is 18
Number of batches 3
batch 0 d_loss : 0.393897
batch 0 g_loss : 1.046216
batch 1 d_loss : 0.383909
batch 1 g_loss : 1.068708
batch 2 d_loss : 0.379018
batch 2 g_loss : 1.077410
Epoch is 19
Number of batches 3
batch 0 d_loss : 0.379628
batch 0 g_loss : 1.094028
batch 1 d_loss : 0.367184
batch 1 g_loss : 1.085362
batch 2 d_loss : 0.345778
batch 2 g_loss : 1.133765
Epoch is 20
Number of batches 3
batch 0 d_loss : 0.357801
batch 0 g_loss : 1.098779
batch 1 d_loss : 0.352078
batch 1 g_loss : 1.116140
batch 2 d_loss : 0.321232
batch 2 g_loss : 1.170574
Epoch is 21
Number of batches 3
batch 0 d_loss : 0.345975
batch 0 g_loss : 1.197804
batch 1 d_loss : 0.327687
batch 1 g_loss : 1.144994
batch 2 d_loss : 0.303389
batch 2 g_loss : 1.237763
Epoch is 22
Number of batches 3
batch 0 d_loss : 0.311866
batch 0 g_loss : 1.234984
batch 1 d_loss : 0.309750
batch 1 g_loss : 1.253969
batch 2 d_loss : 0.280245
batch 2 g_loss : 1.216073
Epoch is 23
Number of batches 3
batch 0 d_loss : 0.301067
batch 0 g_loss : 1.315083
batch 1 d_loss : 0.284164
batch 1 g_loss : 1.309435
batch 2 d_loss : 0.252211
batch 2 g_loss : 1.319500
Epoch is 24
Number of batches 3
batch 0 d_loss : 0.280756
batch 0 g_loss : 1.382730
batch 1 d_loss : 0.276798
batch 1 g_loss : 1.361727
batch 2 d_loss : 0.234101
batch 2 g_loss : 1.387762
Epoch is 25
Number of batches 3
batch 0 d_loss : 0.254646
batch 0 g_loss : 1.412548
batch 1 d_loss : 0.245794
batch 1 g_loss : 1.378575
batch 2 d_loss : 0.213433
batch 2 g_loss : 1.459597
Epoch is 26
Number of batches 3
batch 0 d_loss : 0.236309
batch 0 g_loss : 1.491238
batch 1 d_loss : 0.233776
batch 1 g_loss : 1.375704
batch 2 d_loss : 0.207716
batch 2 g_loss : 1.499130
Epoch is 27
Number of batches 3
batch 0 d_loss : 0.224405
batch 0 g_loss : 1.505968
batch 1 d_loss : 0.213593
batch 1 g_loss : 1.545336
batch 2 d_loss : 0.179964
batch 2 g_loss : 1.541407
Epoch is 28
Number of batches 3
batch 0 d_loss : 0.210272
batch 0 g_loss : 1.519271
batch 1 d_loss : 0.201776
batch 1 g_loss : 1.638226
batch 2 d_loss : 0.176648
batch 2 g_loss : 1.578334
Epoch is 29
Number of batches 3
batch 0 d_loss : 0.191668
batch 0 g_loss : 1.530771
batch 1 d_loss : 0.191253
batch 1 g_loss : 1.608968
batch 2 d_loss : 0.158125
batch 2 g_loss : 1.578568
Epoch is 30
Number of batches 3
batch 0 d_loss : 0.200226
batch 0 g_loss : 1.553678
batch 1 d_loss : 0.176135
batch 1 g_loss : 1.684161
batch 2 d_loss : 0.144371
batch 2 g_loss : 1.745394
Epoch is 31
Number of batches 3
batch 0 d_loss : 0.174073
batch 0 g_loss : 1.642457
batch 1 d_loss : 0.169902
batch 1 g_loss : 1.619723
batch 2 d_loss : 0.125792
batch 2 g_loss : 1.633662
Epoch is 32
Number of batches 3
batch 0 d_loss : 0.176087
batch 0 g_loss : 1.768882
batch 1 d_loss : 0.160049
batch 1 g_loss : 1.803170
batch 2 d_loss : 0.126576
batch 2 g_loss : 1.751453
Epoch is 33
Number of batches 3
batch 0 d_loss : 0.151862
batch 0 g_loss : 1.515062
batch 1 d_loss : 0.154805
batch 1 g_loss : 1.776300
batch 2 d_loss : 0.120412
batch 2 g_loss : 1.652082
Epoch is 34
Number of batches 3
batch 0 d_loss : 0.144535
batch 0 g_loss : 1.664246
batch 1 d_loss : 0.136580
batch 1 g_loss : 1.566285
batch 2 d_loss : 0.115230
batch 2 g_loss : 1.686882
Epoch is 35
Number of batches 3
batch 0 d_loss : 0.129415
batch 0 g_loss : 1.514708
batch 1 d_loss : 0.143119
batch 1 g_loss : 1.604610
batch 2 d_loss : 0.102621
batch 2 g_loss : 1.711352
Epoch is 36
Number of batches 3
batch 0 d_loss : 0.151315
batch 0 g_loss : 1.638636
batch 1 d_loss : 0.145400
batch 1 g_loss : 1.560992
batch 2 d_loss : 0.112185
batch 2 g_loss : 1.867963
Epoch is 37
Number of batches 3
batch 0 d_loss : 0.156605
batch 0 g_loss : 1.716589
batch 1 d_loss : 0.150460
batch 1 g_loss : 1.447993
batch 2 d_loss : 0.082610
batch 2 g_loss : 1.648351
Epoch is 38
Number of batches 3
batch 0 d_loss : 0.161162
batch 0 g_loss : 1.923984
batch 1 d_loss : 0.160326
batch 1 g_loss : 1.644391
batch 2 d_loss : 0.109801
batch 2 g_loss : 1.662057
Epoch is 39
Number of batches 3
batch 0 d_loss : 0.142753
batch 0 g_loss : 1.661729
batch 1 d_loss : 0.173304
batch 1 g_loss : 1.796294
batch 2 d_loss : 0.122435
batch 2 g_loss : 1.591108
Epoch is 40
Number of batches 3
batch 0 d_loss : 0.150370
batch 0 g_loss : 1.667000
batch 1 d_loss : 0.174634
batch 1 g_loss : 1.636769
batch 2 d_loss : 0.121876
batch 2 g_loss : 1.358109
Epoch is 41
Number of batches 3
batch 0 d_loss : 0.148706
batch 0 g_loss : 1.658374
batch 1 d_loss : 0.193259
batch 1 g_loss : 1.259724
batch 2 d_loss : 0.125092
batch 2 g_loss : 1.188874
Epoch is 42
Number of batches 3
batch 0 d_loss : 0.181333
batch 0 g_loss : 1.490081
batch 1 d_loss : 0.182581
batch 1 g_loss : 1.481140
batch 2 d_loss : 0.178946
batch 2 g_loss : 1.392011
Epoch is 43
Number of batches 3
batch 0 d_loss : 0.210728
batch 0 g_loss : 1.272603
batch 1 d_loss : 0.254320
batch 1 g_loss : 1.443986
batch 2 d_loss : 0.139218
batch 2 g_loss : 1.516988
Epoch is 44
Number of batches 3
batch 0 d_loss : 0.214623
batch 0 g_loss : 1.674325
batch 1 d_loss : 0.234204
batch 1 g_loss : 1.263367
batch 2 d_loss : 0.254914
batch 2 g_loss : 1.894930
Epoch is 45
Number of batches 3
batch 0 d_loss : 0.316669
batch 0 g_loss : 1.373129
batch 1 d_loss : 0.248516
batch 1 g_loss : 1.644613
batch 2 d_loss : 0.127281
batch 2 g_loss : 1.809843
Epoch is 46
Number of batches 3
batch 0 d_loss : 0.304113
batch 0 g_loss : 1.330969
batch 1 d_loss : 0.249917
batch 1 g_loss : 1.321899
batch 2 d_loss : 0.214623
batch 2 g_loss : 1.933152
Epoch is 47
Number of batches 3
batch 0 d_loss : 0.299843
batch 0 g_loss : 1.768464
batch 1 d_loss : 0.340470
batch 1 g_loss : 1.028545
batch 2 d_loss : 0.231616
batch 2 g_loss : 1.651897
Epoch is 48
Number of batches 3
batch 0 d_loss : 0.281073
batch 0 g_loss : 2.039861
batch 1 d_loss : 0.341879
batch 1 g_loss : 1.704404
batch 2 d_loss : 0.133553
batch 2 g_loss : 1.251820
Epoch is 49
Number of batches 3
batch 0 d_loss : 0.413473
batch 0 g_loss : 1.429641
batch 1 d_loss : 0.374572
batch 1 g_loss : 1.447012
batch 2 d_loss : 0.268208
batch 2 g_loss : 1.536999
Epoch is 50
Number of batches 3
batch 0 d_loss : 0.354723
batch 0 g_loss : 1.160103
batch 1 d_loss : 0.410004
batch 1 g_loss : 1.469318
batch 2 d_loss : 0.213541
batch 2 g_loss : 1.279050
Epoch is 51
Number of batches 3
batch 0 d_loss : 0.406701
batch 0 g_loss : 1.759774
batch 1 d_loss : 0.428837
batch 1 g_loss : 1.672572
batch 2 d_loss : 0.379982
batch 2 g_loss : 1.565485
Epoch is 52
Number of batches 3
batch 0 d_loss : 0.331342
batch 0 g_loss : 1.364352
batch 1 d_loss : 0.568414
batch 1 g_loss : 1.492123
batch 2 d_loss : 0.419954
batch 2 g_loss : 1.761136
Epoch is 53
Number of batches 3
batch 0 d_loss : 0.512784
batch 0 g_loss : 1.791008
batch 1 d_loss : 0.577661
batch 1 g_loss : 2.091140
batch 2 d_loss : 0.453250
batch 2 g_loss : 1.704512
Epoch is 54
Number of batches 3
batch 0 d_loss : 0.389243
batch 0 g_loss : 1.906830
batch 1 d_loss : 0.462130
batch 1 g_loss : 1.545107
batch 2 d_loss : 0.232670
batch 2 g_loss : 1.077518
Epoch is 55
Number of batches 3
batch 0 d_loss : 0.473264
batch 0 g_loss : 1.915785
batch 1 d_loss : 0.547989
batch 1 g_loss : 1.398789
batch 2 d_loss : 0.399903
batch 2 g_loss : 1.592196
Epoch is 56
Number of batches 3
batch 0 d_loss : 0.552559
batch 0 g_loss : 2.204082
batch 1 d_loss : 0.502237
batch 1 g_loss : 1.433532
batch 2 d_loss : 0.342422
batch 2 g_loss : 1.662210
Epoch is 57
Number of batches 3
batch 0 d_loss : 0.385495
batch 0 g_loss : 1.392851
batch 1 d_loss : 0.593888
batch 1 g_loss : 1.247189
batch 2 d_loss : 0.307606
batch 2 g_loss : 1.864625
Epoch is 58
Number of batches 3
batch 0 d_loss : 0.524927
batch 0 g_loss : 1.560044
batch 1 d_loss : 0.458692
batch 1 g_loss : 1.633308
batch 2 d_loss : 0.293498
batch 2 g_loss : 1.968298
Epoch is 59
Number of batches 3
batch 0 d_loss : 0.400726
batch 0 g_loss : 1.994383
batch 1 d_loss : 0.443945
batch 1 g_loss : 1.728161
batch 2 d_loss : 0.308049
batch 2 g_loss : 1.730455
Epoch is 60
Number of batches 3
batch 0 d_loss : 0.525780
batch 0 g_loss : 1.704758
batch 1 d_loss : 0.364357
batch 1 g_loss : 1.817880
batch 2 d_loss : 0.331271
batch 2 g_loss : 1.991372
Epoch is 61
Number of batches 3
batch 0 d_loss : 0.425342
batch 0 g_loss : 1.541635
batch 1 d_loss : 0.382081
batch 1 g_loss : 1.782369
batch 2 d_loss : 0.356352
batch 2 g_loss : 1.991287
Epoch is 62
Number of batches 3
batch 0 d_loss : 0.424194
batch 0 g_loss : 2.421697
batch 1 d_loss : 0.402386
batch 1 g_loss : 1.445921
batch 2 d_loss : 0.277627
batch 2 g_loss : 1.957031
Epoch is 63
Number of batches 3
batch 0 d_loss : 0.396478
batch 0 g_loss : 1.741960
batch 1 d_loss : 0.360669
batch 1 g_loss : 1.906377
batch 2 d_loss : 0.342510
batch 2 g_loss : 2.053605
Epoch is 64
Number of batches 3
batch 0 d_loss : 0.431375
batch 0 g_loss : 2.125576
batch 1 d_loss : 0.347356
batch 1 g_loss : 1.785019
batch 2 d_loss : 0.399783
batch 2 g_loss : 1.948587
Epoch is 65
Number of batches 3
batch 0 d_loss : 0.430898
batch 0 g_loss : 1.851479
batch 1 d_loss : 0.329250
batch 1 g_loss : 2.019825
batch 2 d_loss : 0.250179
batch 2 g_loss : 1.609800
Epoch is 66
Number of batches 3
batch 0 d_loss : 0.415095
batch 0 g_loss : 1.783584
batch 1 d_loss : 0.530291
batch 1 g_loss : 2.041101
batch 2 d_loss : 0.350269
batch 2 g_loss : 2.244692
Epoch is 67
Number of batches 3
batch 0 d_loss : 0.405482
batch 0 g_loss : 1.832071
batch 1 d_loss : 0.376205
batch 1 g_loss : 1.807081
batch 2 d_loss : 0.278071
batch 2 g_loss : 2.014531
Epoch is 68
Number of batches 3
batch 0 d_loss : 0.385164
batch 0 g_loss : 2.083890
batch 1 d_loss : 0.304491
batch 1 g_loss : 1.561135
batch 2 d_loss : 0.348030
batch 2 g_loss : 1.748822
Epoch is 69
Number of batches 3
batch 0 d_loss : 0.376477
batch 0 g_loss : 1.556825
batch 1 d_loss : 0.335963
batch 1 g_loss : 1.495024
batch 2 d_loss : 0.320854
batch 2 g_loss : 1.419280
Epoch is 70
Number of batches 3
batch 0 d_loss : 0.355639
batch 0 g_loss : 1.995266
batch 1 d_loss : 0.270411
batch 1 g_loss : 1.641796
batch 2 d_loss : 0.258866
batch 2 g_loss : 1.634727
Epoch is 71
Number of batches 3
batch 0 d_loss : 0.361419
batch 0 g_loss : 1.431924
batch 1 d_loss : 0.375623
batch 1 g_loss : 1.540008
batch 2 d_loss : 0.249011
batch 2 g_loss : 1.931394
Epoch is 72
Number of batches 3
batch 0 d_loss : 0.439773
batch 0 g_loss : 1.949653
batch 1 d_loss : 0.336486
batch 1 g_loss : 1.757210
batch 2 d_loss : 0.313411
batch 2 g_loss : 2.055756
Epoch is 73
Number of batches 3
batch 0 d_loss : 0.394213
batch 0 g_loss : 1.758777
batch 1 d_loss : 0.343695
batch 1 g_loss : 1.628840
batch 2 d_loss : 0.201738
batch 2 g_loss : 1.337278
Epoch is 74
Number of batches 3
batch 0 d_loss : 0.369429
batch 0 g_loss : 1.241059
batch 1 d_loss : 0.277633
batch 1 g_loss : 1.463959
batch 2 d_loss : 0.271219
batch 2 g_loss : 1.768607
Epoch is 75
Number of batches 3
batch 0 d_loss : 0.334914
batch 0 g_loss : 1.929148
batch 1 d_loss : 0.294012
batch 1 g_loss : 1.560701
batch 2 d_loss : 0.288955
batch 2 g_loss : 1.468747
Epoch is 76
Number of batches 3
batch 0 d_loss : 0.344384
batch 0 g_loss : 1.353810
batch 1 d_loss : 0.309931
batch 1 g_loss : 1.386097
batch 2 d_loss : 0.224875
batch 2 g_loss : 1.401732
Epoch is 77
Number of batches 3
batch 0 d_loss : 0.366717
batch 0 g_loss : 1.471679
batch 1 d_loss : 0.277435
batch 1 g_loss : 1.126522
batch 2 d_loss : 0.319232
batch 2 g_loss : 1.954685
Epoch is 78
Number of batches 3
batch 0 d_loss : 0.369319
batch 0 g_loss : 1.867204
batch 1 d_loss : 0.314057
batch 1 g_loss : 1.209335
batch 2 d_loss : 0.283888
batch 2 g_loss : 1.456331
Epoch is 79
Number of batches 3
batch 0 d_loss : 0.387517
batch 0 g_loss : 1.503460
batch 1 d_loss : 0.420871
batch 1 g_loss : 1.762575
batch 2 d_loss : 0.297957
batch 2 g_loss : 1.737265
Epoch is 80
Number of batches 3
batch 0 d_loss : 0.380755
batch 0 g_loss : 1.255440
batch 1 d_loss : 0.319754
batch 1 g_loss : 1.379484
batch 2 d_loss : 0.218386
batch 2 g_loss : 1.201815
Epoch is 81
Number of batches 3
batch 0 d_loss : 0.307925
batch 0 g_loss : 1.576589
batch 1 d_loss : 0.323414
batch 1 g_loss : 1.398413
batch 2 d_loss : 0.298856
batch 2 g_loss : 1.228206
Epoch is 82
Number of batches 3
batch 0 d_loss : 0.435531
batch 0 g_loss : 1.893848
batch 1 d_loss : 0.391411
batch 1 g_loss : 1.531532
batch 2 d_loss : 0.308126
batch 2 g_loss : 1.899619
Epoch is 83
Number of batches 3
batch 0 d_loss : 0.445971
batch 0 g_loss : 1.408710
batch 1 d_loss : 0.335969
batch 1 g_loss : 1.261003
batch 2 d_loss : 0.318470
batch 2 g_loss : 1.551491
Epoch is 84
Number of batches 3
batch 0 d_loss : 0.372299
batch 0 g_loss : 1.496216
batch 1 d_loss : 0.322250
batch 1 g_loss : 0.958530
batch 2 d_loss : 0.270643
batch 2 g_loss : 1.082752
Epoch is 85
Number of batches 3
batch 0 d_loss : 0.386902
batch 0 g_loss : 1.136362
batch 1 d_loss : 0.249030
batch 1 g_loss : 0.973035
batch 2 d_loss : 0.324048
batch 2 g_loss : 1.127102
Epoch is 86
Number of batches 3
batch 0 d_loss : 0.368523
batch 0 g_loss : 1.409295
batch 1 d_loss : 0.399997
batch 1 g_loss : 1.246062
batch 2 d_loss : 0.389673
batch 2 g_loss : 2.052467
Epoch is 87
Number of batches 3
batch 0 d_loss : 0.435611
batch 0 g_loss : 1.723658
batch 1 d_loss : 0.385740
batch 1 g_loss : 1.114350
batch 2 d_loss : 0.234017
batch 2 g_loss : 1.458430
Epoch is 88
Number of batches 3
batch 0 d_loss : 0.498082
batch 0 g_loss : 1.372455
batch 1 d_loss : 0.304201
batch 1 g_loss : 1.326246
batch 2 d_loss : 0.312027
batch 2 g_loss : 1.504186
Epoch is 89
Number of batches 3
batch 0 d_loss : 0.442695
batch 0 g_loss : 1.412289
batch 1 d_loss : 0.380892
batch 1 g_loss : 1.101666
batch 2 d_loss : 0.296411
batch 2 g_loss : 1.404910
Epoch is 90
Number of batches 3
batch 0 d_loss : 0.442839
batch 0 g_loss : 1.243286
batch 1 d_loss : 0.518128
batch 1 g_loss : 1.719747
batch 2 d_loss : 0.252733
batch 2 g_loss : 1.483126
Epoch is 91
Number of batches 3
batch 0 d_loss : 0.452295
batch 0 g_loss : 1.393437
batch 1 d_loss : 0.440264
batch 1 g_loss : 1.334391
batch 2 d_loss : 0.334496
batch 2 g_loss : 1.871965
Epoch is 92
Number of batches 3
batch 0 d_loss : 0.495552
batch 0 g_loss : 1.442261
batch 1 d_loss : 0.367553
batch 1 g_loss : 1.255626
batch 2 d_loss : 0.428624
batch 2 g_loss : 1.546036
Epoch is 93
Number of batches 3
batch 0 d_loss : 0.531099
batch 0 g_loss : 1.425013
batch 1 d_loss : 0.388929
batch 1 g_loss : 1.570770
batch 2 d_loss : 0.518022
batch 2 g_loss : 2.272449
Epoch is 94
Number of batches 3
batch 0 d_loss : 0.518985
batch 0 g_loss : 1.560192
batch 1 d_loss : 0.435139
batch 1 g_loss : 0.966312
batch 2 d_loss : 0.359797
batch 2 g_loss : 1.353894
Epoch is 95
Number of batches 3
batch 0 d_loss : 0.445773
batch 0 g_loss : 1.498105
batch 1 d_loss : 0.477542
batch 1 g_loss : 1.685516
batch 2 d_loss : 0.329732
batch 2 g_loss : 1.498578
Epoch is 96
Number of batches 3
batch 0 d_loss : 0.502368
batch 0 g_loss : 1.467465
batch 1 d_loss : 0.369220
batch 1 g_loss : 1.304024
batch 2 d_loss : 0.494870
batch 2 g_loss : 1.671788
Epoch is 97
Number of batches 3
batch 0 d_loss : 0.440132
batch 0 g_loss : 1.649608
batch 1 d_loss : 0.411664
batch 1 g_loss : 1.522200
batch 2 d_loss : 0.484749
batch 2 g_loss : 1.603300
Epoch is 98
Number of batches 3
batch 0 d_loss : 0.535371
batch 0 g_loss : 2.061921
batch 1 d_loss : 0.397921
batch 1 g_loss : 1.507758
batch 2 d_loss : 0.460272
batch 2 g_loss : 1.989944
Epoch is 99
Number of batches 3
batch 0 d_loss : 0.495595
batch 0 g_loss : 1.400790
batch 1 d_loss : 0.329246
batch 1 g_loss : 1.294077
batch 2 d_loss : 0.364749
batch 2 g_loss : 1.524580
Epoch is 100
Number of batches 3
batch 0 d_loss : 0.422201
batch 0 g_loss : 1.468034
batch 1 d_loss : 0.410984
batch 1 g_loss : 1.685541
batch 2 d_loss : 0.377881
batch 2 g_loss : 1.760328
Epoch is 101
Number of batches 3
batch 0 d_loss : 0.526407
batch 0 g_loss : 1.633205
batch 1 d_loss : 0.412590
batch 1 g_loss : 1.401990
batch 2 d_loss : 0.419588
batch 2 g_loss : 1.665985
Epoch is 102
Number of batches 3
batch 0 d_loss : 0.499745
batch 0 g_loss : 1.374082
batch 1 d_loss : 0.366229
batch 1 g_loss : 1.882261
batch 2 d_loss : 0.364279
batch 2 g_loss : 1.432451
Epoch is 103
Number of batches 3
batch 0 d_loss : 0.577746
batch 0 g_loss : 1.618052
batch 1 d_loss : 0.305674
batch 1 g_loss : 1.573997
batch 2 d_loss : 0.429716
batch 2 g_loss : 1.601413
Epoch is 104
Number of batches 3
batch 0 d_loss : 0.501375
batch 0 g_loss : 1.424471
batch 1 d_loss : 0.385810
batch 1 g_loss : 1.399132
batch 2 d_loss : 0.446730
batch 2 g_loss : 1.449041
Epoch is 105
Number of batches 3
batch 0 d_loss : 0.538351
batch 0 g_loss : 1.308858
batch 1 d_loss : 0.483403
batch 1 g_loss : 1.643114
batch 2 d_loss : 0.275481
batch 2 g_loss : 1.193320
Epoch is 106
Number of batches 3
batch 0 d_loss : 0.502538
batch 0 g_loss : 1.915092
batch 1 d_loss : 0.477860
batch 1 g_loss : 1.646312
batch 2 d_loss : 0.270626
batch 2 g_loss : 1.268955
Epoch is 107
Number of batches 3
batch 0 d_loss : 0.544960
batch 0 g_loss : 1.548827
batch 1 d_loss : 0.311215
batch 1 g_loss : 1.543733
batch 2 d_loss : 0.379123
batch 2 g_loss : 1.980828
Epoch is 108
Number of batches 3
batch 0 d_loss : 0.634649
batch 0 g_loss : 1.512488
batch 1 d_loss : 0.359035
batch 1 g_loss : 1.580771
batch 2 d_loss : 0.359417
batch 2 g_loss : 2.027812
Epoch is 109
Number of batches 3
batch 0 d_loss : 0.472561
batch 0 g_loss : 1.505627
batch 1 d_loss : 0.495052
batch 1 g_loss : 1.989837
batch 2 d_loss : 0.322359
batch 2 g_loss : 1.180971
Epoch is 110
Number of batches 3
batch 0 d_loss : 0.563923
batch 0 g_loss : 1.448758
batch 1 d_loss : 0.503902
batch 1 g_loss : 1.956466
batch 2 d_loss : 0.279518
batch 2 g_loss : 1.625345
Epoch is 111
Number of batches 3
batch 0 d_loss : 0.595839
batch 0 g_loss : 1.471080
batch 1 d_loss : 0.396075
batch 1 g_loss : 1.583363
batch 2 d_loss : 0.343031
batch 2 g_loss : 1.966214
Epoch is 112
Number of batches 3
batch 0 d_loss : 0.604980
batch 0 g_loss : 1.672768
batch 1 d_loss : 0.278158
batch 1 g_loss : 1.294004
batch 2 d_loss : 0.303316
batch 2 g_loss : 1.569289
Epoch is 113
Number of batches 3
batch 0 d_loss : 0.652590
batch 0 g_loss : 1.597030
batch 1 d_loss : 0.387545
batch 1 g_loss : 1.501805
batch 2 d_loss : 0.292258
batch 2 g_loss : 1.702760
Epoch is 114
Number of batches 3
batch 0 d_loss : 0.530530
batch 0 g_loss : 1.369747
batch 1 d_loss : 0.398050
batch 1 g_loss : 1.647466
batch 2 d_loss : 0.355748
batch 2 g_loss : 1.577073
Epoch is 115
Number of batches 3
batch 0 d_loss : 0.536823
batch 0 g_loss : 1.471297
batch 1 d_loss : 0.399384
batch 1 g_loss : 1.333829
batch 2 d_loss : 0.333388
batch 2 g_loss : 1.472505
Epoch is 116
Number of batches 3
batch 0 d_loss : 0.496339
batch 0 g_loss : 1.973874
batch 1 d_loss : 0.444833
batch 1 g_loss : 1.033018
batch 2 d_loss : 0.334305
batch 2 g_loss : 1.888516
Epoch is 117
Number of batches 3
batch 0 d_loss : 0.605355
batch 0 g_loss : 2.130679
batch 1 d_loss : 0.371269
batch 1 g_loss : 1.877581
batch 2 d_loss : 0.285812
batch 2 g_loss : 1.548223
Epoch is 118
Number of batches 3
batch 0 d_loss : 0.448285
batch 0 g_loss : 1.059974
batch 1 d_loss : 0.408277
batch 1 g_loss : 1.310282
batch 2 d_loss : 0.321329
batch 2 g_loss : 1.697254
Epoch is 119
Number of batches 3
batch 0 d_loss : 0.576019
batch 0 g_loss : 1.462480
batch 1 d_loss : 0.330316
batch 1 g_loss : 1.108557
batch 2 d_loss : 0.387666
batch 2 g_loss : 1.888563
Epoch is 120
Number of batches 3
batch 0 d_loss : 0.563836
batch 0 g_loss : 1.808228
batch 1 d_loss : 0.393243
batch 1 g_loss : 1.602685
batch 2 d_loss : 0.376340
batch 2 g_loss : 1.716797
Epoch is 121
Number of batches 3
batch 0 d_loss : 0.549651
batch 0 g_loss : 1.603870
batch 1 d_loss : 0.418841
batch 1 g_loss : 1.729945
batch 2 d_loss : 0.297375
batch 2 g_loss : 1.861155
Epoch is 122
Number of batches 3
batch 0 d_loss : 0.530774
batch 0 g_loss : 1.675161
batch 1 d_loss : 0.283049
batch 1 g_loss : 1.188946
batch 2 d_loss : 0.299656
batch 2 g_loss : 1.616217
Epoch is 123
Number of batches 3
batch 0 d_loss : 0.673388
batch 0 g_loss : 2.116171
batch 1 d_loss : 0.349201
batch 1 g_loss : 1.437999
batch 2 d_loss : 0.347213
batch 2 g_loss : 1.581305
Epoch is 124
Number of batches 3
batch 0 d_loss : 0.550623
batch 0 g_loss : 1.622595
batch 1 d_loss : 0.391927
batch 1 g_loss : 1.462239
batch 2 d_loss : 0.395186
batch 2 g_loss : 1.586755
Epoch is 125
Number of batches 3
batch 0 d_loss : 0.507231
batch 0 g_loss : 1.776604
batch 1 d_loss : 0.340905
batch 1 g_loss : 1.547713
batch 2 d_loss : 0.320463
batch 2 g_loss : 1.583537
Epoch is 126
Number of batches 3
batch 0 d_loss : 0.507680
batch 0 g_loss : 1.308969
batch 1 d_loss : 0.464655
batch 1 g_loss : 1.778022
batch 2 d_loss : 0.393568
batch 2 g_loss : 1.826750
Epoch is 127
Number of batches 3
batch 0 d_loss : 0.635502
batch 0 g_loss : 1.717454
batch 1 d_loss : 0.416239
batch 1 g_loss : 1.478224
batch 2 d_loss : 0.427576
batch 2 g_loss : 1.352263
Epoch is 128
Number of batches 3
batch 0 d_loss : 0.498634
batch 0 g_loss : 1.234002
batch 1 d_loss : 0.368124
batch 1 g_loss : 1.342821
batch 2 d_loss : 0.340273
batch 2 g_loss : 1.443880
Epoch is 129
Number of batches 3
batch 0 d_loss : 0.666382
batch 0 g_loss : 2.207717
batch 1 d_loss : 0.337480
batch 1 g_loss : 1.284710
batch 2 d_loss : 0.365258
batch 2 g_loss : 1.707171
Epoch is 130
Number of batches 3
batch 0 d_loss : 0.599315
batch 0 g_loss : 1.711180
batch 1 d_loss : 0.329220
batch 1 g_loss : 1.444130
batch 2 d_loss : 0.362327
batch 2 g_loss : 1.683112
Epoch is 131
Number of batches 3
batch 0 d_loss : 0.448266
batch 0 g_loss : 1.797168
batch 1 d_loss : 0.399964
batch 1 g_loss : 1.504351
batch 2 d_loss : 0.439951
batch 2 g_loss : 1.636867
Epoch is 132
Number of batches 3
batch 0 d_loss : 0.464835
batch 0 g_loss : 1.341162
batch 1 d_loss : 0.367316
batch 1 g_loss : 1.432605
batch 2 d_loss : 0.419761
batch 2 g_loss : 1.391666
Epoch is 133
Number of batches 3
batch 0 d_loss : 0.500573
batch 0 g_loss : 1.415877
batch 1 d_loss : 0.426995
batch 1 g_loss : 1.832361
batch 2 d_loss : 0.417741
batch 2 g_loss : 2.029314
Epoch is 134
Number of batches 3
batch 0 d_loss : 0.425041
batch 0 g_loss : 1.315450
batch 1 d_loss : 0.386414
batch 1 g_loss : 1.329312
batch 2 d_loss : 0.311553
batch 2 g_loss : 1.214743
Epoch is 135
Number of batches 3
batch 0 d_loss : 0.440506
batch 0 g_loss : 1.188107
batch 1 d_loss : 0.426065
batch 1 g_loss : 1.494086
batch 2 d_loss : 0.354539
batch 2 g_loss : 1.581317
Epoch is 136
Number of batches 3
batch 0 d_loss : 0.478085
batch 0 g_loss : 1.192671
batch 1 d_loss : 0.543788
batch 1 g_loss : 1.652492
batch 2 d_loss : 0.354355
batch 2 g_loss : 2.311994
Epoch is 137
Number of batches 3
batch 0 d_loss : 0.446664
batch 0 g_loss : 1.200148
batch 1 d_loss : 0.454595
batch 1 g_loss : 1.765772
batch 2 d_loss : 0.338111
batch 2 g_loss : 1.589096
Epoch is 138
Number of batches 3
batch 0 d_loss : 0.444950
batch 0 g_loss : 1.509792
batch 1 d_loss : 0.420108
batch 1 g_loss : 1.640237
batch 2 d_loss : 0.280712
batch 2 g_loss : 1.510720
Epoch is 139
Number of batches 3
batch 0 d_loss : 0.556154
batch 0 g_loss : 1.727389
batch 1 d_loss : 0.354975
batch 1 g_loss : 1.396983
batch 2 d_loss : 0.279242
batch 2 g_loss : 1.404605
Epoch is 140
Number of batches 3
batch 0 d_loss : 0.489322
batch 0 g_loss : 1.550471
batch 1 d_loss : 0.497621
batch 1 g_loss : 1.695972
batch 2 d_loss : 0.362301
batch 2 g_loss : 1.678554
Epoch is 141
Number of batches 3
batch 0 d_loss : 0.580095
batch 0 g_loss : 1.904930
batch 1 d_loss : 0.415766
batch 1 g_loss : 1.670689
batch 2 d_loss : 0.349355
batch 2 g_loss : 1.500168
Epoch is 142
Number of batches 3
batch 0 d_loss : 0.525455
batch 0 g_loss : 1.466032
batch 1 d_loss : 0.456048
batch 1 g_loss : 1.518464
batch 2 d_loss : 0.351429
batch 2 g_loss : 1.490775
Epoch is 143
Number of batches 3
batch 0 d_loss : 0.496926
batch 0 g_loss : 1.245351
batch 1 d_loss : 0.385413
batch 1 g_loss : 1.784006
batch 2 d_loss : 0.361485
batch 2 g_loss : 1.767993
Epoch is 144
Number of batches 3
batch 0 d_loss : 0.558778
batch 0 g_loss : 1.799871
batch 1 d_loss : 0.337899
batch 1 g_loss : 1.219731
batch 2 d_loss : 0.426526
batch 2 g_loss : 1.582113
Epoch is 145
Number of batches 3
batch 0 d_loss : 0.553710
batch 0 g_loss : 1.740379
batch 1 d_loss : 0.401598
batch 1 g_loss : 1.606370
batch 2 d_loss : 0.345485
batch 2 g_loss : 1.374107
Epoch is 146
Number of batches 3
batch 0 d_loss : 0.633779
batch 0 g_loss : 1.405393
batch 1 d_loss : 0.401859
batch 1 g_loss : 1.532688
batch 2 d_loss : 0.413372
batch 2 g_loss : 1.944014
Epoch is 147
Number of batches 3
batch 0 d_loss : 0.477013
batch 0 g_loss : 1.193836
batch 1 d_loss : 0.357313
batch 1 g_loss : 1.172134
batch 2 d_loss : 0.300636
batch 2 g_loss : 1.674204
Epoch is 148
Number of batches 3
batch 0 d_loss : 0.549013
batch 0 g_loss : 1.189850
batch 1 d_loss : 0.498917
batch 1 g_loss : 1.418566
batch 2 d_loss : 0.402121
batch 2 g_loss : 1.355668
Epoch is 149
Number of batches 3
batch 0 d_loss : 0.570009
batch 0 g_loss : 1.574155
batch 1 d_loss : 0.311234
batch 1 g_loss : 1.228907
batch 2 d_loss : 0.389390
batch 2 g_loss : 1.387862
Epoch is 150
Number of batches 3
batch 0 d_loss : 0.674358
batch 0 g_loss : 1.747885
batch 1 d_loss : 0.457975
batch 1 g_loss : 1.705735
batch 2 d_loss : 0.319040
batch 2 g_loss : 1.762882
Epoch is 151
Number of batches 3
batch 0 d_loss : 0.560068
batch 0 g_loss : 1.273395
batch 1 d_loss : 0.451287
batch 1 g_loss : 1.391543
batch 2 d_loss : 0.347145
batch 2 g_loss : 1.403706
Epoch is 152
Number of batches 3
batch 0 d_loss : 0.497082
batch 0 g_loss : 1.287625
batch 1 d_loss : 0.336927
batch 1 g_loss : 1.237626
batch 2 d_loss : 0.252373
batch 2 g_loss : 1.413425
Epoch is 153
Number of batches 3
batch 0 d_loss : 0.480643
batch 0 g_loss : 1.505213
batch 1 d_loss : 0.329336
batch 1 g_loss : 1.480082
batch 2 d_loss : 0.370179
batch 2 g_loss : 1.603464
Epoch is 154
Number of batches 3
batch 0 d_loss : 0.518567
batch 0 g_loss : 1.556970
batch 1 d_loss : 0.372225
batch 1 g_loss : 1.551478
batch 2 d_loss : 0.398284
batch 2 g_loss : 1.841683
Epoch is 155
Number of batches 3
batch 0 d_loss : 0.583056
batch 0 g_loss : 1.816271
batch 1 d_loss : 0.400441
batch 1 g_loss : 1.554651
batch 2 d_loss : 0.350043
batch 2 g_loss : 1.556612
Epoch is 156
Number of batches 3
batch 0 d_loss : 0.478598
batch 0 g_loss : 1.074741
batch 1 d_loss : 0.370694
batch 1 g_loss : 1.793715
batch 2 d_loss : 0.337916
batch 2 g_loss : 1.545334
Epoch is 157
Number of batches 3
batch 0 d_loss : 0.542413
batch 0 g_loss : 1.303930
batch 1 d_loss : 0.371232
batch 1 g_loss : 1.221505
batch 2 d_loss : 0.347080
batch 2 g_loss : 1.795613
Epoch is 158
Number of batches 3
batch 0 d_loss : 0.551492
batch 0 g_loss : 1.522878
batch 1 d_loss : 0.455272
batch 1 g_loss : 2.094065
batch 2 d_loss : 0.305612
batch 2 g_loss : 1.527848
Epoch is 159
Number of batches 3
batch 0 d_loss : 0.606562
batch 0 g_loss : 1.592211
batch 1 d_loss : 0.359336
batch 1 g_loss : 1.208174
batch 2 d_loss : 0.366610
batch 2 g_loss : 1.572559
Epoch is 160
Number of batches 3
batch 0 d_loss : 0.506205
batch 0 g_loss : 1.817119
batch 1 d_loss : 0.277876
batch 1 g_loss : 1.100003
batch 2 d_loss : 0.302134
batch 2 g_loss : 1.622486
Epoch is 161
Number of batches 3
batch 0 d_loss : 0.512131
batch 0 g_loss : 1.701567
batch 1 d_loss : 0.373101
batch 1 g_loss : 1.221374
batch 2 d_loss : 0.323387
batch 2 g_loss : 1.675011
Epoch is 162
Number of batches 3
batch 0 d_loss : 0.420559
batch 0 g_loss : 0.997383
batch 1 d_loss : 0.326623
batch 1 g_loss : 1.453567
batch 2 d_loss : 0.317900
batch 2 g_loss : 1.592820
Epoch is 163
Number of batches 3
batch 0 d_loss : 0.528541
batch 0 g_loss : 1.660267
batch 1 d_loss : 0.497555
batch 1 g_loss : 1.740975
batch 2 d_loss : 0.280345
batch 2 g_loss : 1.188665
Epoch is 164
Number of batches 3
batch 0 d_loss : 0.505013
batch 0 g_loss : 1.256052
batch 1 d_loss : 0.322286
batch 1 g_loss : 1.359243
batch 2 d_loss : 0.354655
batch 2 g_loss : 1.901665
Epoch is 165
Number of batches 3
batch 0 d_loss : 0.550665
batch 0 g_loss : 1.583184
batch 1 d_loss : 0.462906
batch 1 g_loss : 1.722418
batch 2 d_loss : 0.324717
batch 2 g_loss : 1.373272
Epoch is 166
Number of batches 3
batch 0 d_loss : 0.587491
batch 0 g_loss : 1.506832
batch 1 d_loss : 0.422291
batch 1 g_loss : 1.570784
batch 2 d_loss : 0.239916
batch 2 g_loss : 1.108125
Epoch is 167
Number of batches 3
batch 0 d_loss : 0.520242
batch 0 g_loss : 1.725925
batch 1 d_loss : 0.318612
batch 1 g_loss : 1.161748
batch 2 d_loss : 0.434959
batch 2 g_loss : 2.102428
Epoch is 168
Number of batches 3
batch 0 d_loss : 0.474645
batch 0 g_loss : 1.405290
batch 1 d_loss : 0.443354
batch 1 g_loss : 1.580799
batch 2 d_loss : 0.376935
batch 2 g_loss : 1.831459
Epoch is 169
Number of batches 3
batch 0 d_loss : 0.428419
batch 0 g_loss : 1.812024
batch 1 d_loss : 0.477035
batch 1 g_loss : 1.556024
batch 2 d_loss : 0.515675
batch 2 g_loss : 2.182536
Epoch is 170
Number of batches 3
batch 0 d_loss : 0.506159
batch 0 g_loss : 1.326628
batch 1 d_loss : 0.468056
batch 1 g_loss : 1.524538
batch 2 d_loss : 0.313020
batch 2 g_loss : 1.456821
Epoch is 171
Number of batches 3
batch 0 d_loss : 0.659668
batch 0 g_loss : 1.778118
batch 1 d_loss : 0.451468
batch 1 g_loss : 1.477414
batch 2 d_loss : 0.340520
batch 2 g_loss : 1.516682
Epoch is 172
Number of batches 3
batch 0 d_loss : 0.451095
batch 0 g_loss : 1.010359
batch 1 d_loss : 0.352542
batch 1 g_loss : 1.526279
batch 2 d_loss : 0.342327
batch 2 g_loss : 1.462376
Epoch is 173
Number of batches 3
batch 0 d_loss : 0.445012
batch 0 g_loss : 1.476749
batch 1 d_loss : 0.365525
batch 1 g_loss : 1.489685
batch 2 d_loss : 0.414550
batch 2 g_loss : 1.745816
Epoch is 174
Number of batches 3
batch 0 d_loss : 0.479141
batch 0 g_loss : 1.412360
batch 1 d_loss : 0.422971
batch 1 g_loss : 1.609779
batch 2 d_loss : 0.411891
batch 2 g_loss : 1.514108
Epoch is 175
Number of batches 3
batch 0 d_loss : 0.504290
batch 0 g_loss : 1.278908
batch 1 d_loss : 0.333151
batch 1 g_loss : 1.815455
batch 2 d_loss : 0.393300
batch 2 g_loss : 1.431473
Epoch is 176
Number of batches 3
batch 0 d_loss : 0.495068
batch 0 g_loss : 1.711792
batch 1 d_loss : 0.363378
batch 1 g_loss : 1.761618
batch 2 d_loss : 0.337715
batch 2 g_loss : 1.963056
Epoch is 177
Number of batches 3
batch 0 d_loss : 0.485845
batch 0 g_loss : 1.517422
batch 1 d_loss : 0.364736
batch 1 g_loss : 1.109735
batch 2 d_loss : 0.301298
batch 2 g_loss : 1.638964
Epoch is 178
Number of batches 3
batch 0 d_loss : 0.417765
batch 0 g_loss : 1.322160
batch 1 d_loss : 0.407523
batch 1 g_loss : 1.685138
batch 2 d_loss : 0.454608
batch 2 g_loss : 2.337549
Epoch is 179
Number of batches 3
batch 0 d_loss : 0.492906
batch 0 g_loss : 1.500753
batch 1 d_loss : 0.338823
batch 1 g_loss : 1.527783
batch 2 d_loss : 0.387962
batch 2 g_loss : 1.771045
Epoch is 180
Number of batches 3
batch 0 d_loss : 0.507038
batch 0 g_loss : 1.310737
batch 1 d_loss : 0.348028
batch 1 g_loss : 1.538423
batch 2 d_loss : 0.278020
batch 2 g_loss : 1.264744
Epoch is 181
Number of batches 3
batch 0 d_loss : 0.330125
batch 0 g_loss : 0.771779
batch 1 d_loss : 0.473776
batch 1 g_loss : 1.611576
batch 2 d_loss : 0.297513
batch 2 g_loss : 1.446340
Epoch is 182
Number of batches 3
batch 0 d_loss : 0.459046
batch 0 g_loss : 1.535875
batch 1 d_loss : 0.370675
batch 1 g_loss : 1.523277
batch 2 d_loss : 0.512863
batch 2 g_loss : 2.128699
Epoch is 183
Number of batches 3
batch 0 d_loss : 0.497661
batch 0 g_loss : 1.511409
batch 1 d_loss : 0.335203
batch 1 g_loss : 1.445165
batch 2 d_loss : 0.455771
batch 2 g_loss : 1.946303
Epoch is 184
Number of batches 3
batch 0 d_loss : 0.466079
batch 0 g_loss : 1.616368
batch 1 d_loss : 0.378128
batch 1 g_loss : 1.333745
batch 2 d_loss : 0.343502
batch 2 g_loss : 1.734272
Epoch is 185
Number of batches 3
batch 0 d_loss : 0.386640
batch 0 g_loss : 1.297287
batch 1 d_loss : 0.329787
batch 1 g_loss : 1.171917
batch 2 d_loss : 0.343747
batch 2 g_loss : 1.891755
Epoch is 186
Number of batches 3
batch 0 d_loss : 0.540510
batch 0 g_loss : 1.841264
batch 1 d_loss : 0.455158
batch 1 g_loss : 1.483133
batch 2 d_loss : 0.349246
batch 2 g_loss : 1.532172
Epoch is 187
Number of batches 3
batch 0 d_loss : 0.497112
batch 0 g_loss : 2.059879
batch 1 d_loss : 0.424510
batch 1 g_loss : 1.420244
batch 2 d_loss : 0.418983
batch 2 g_loss : 1.444819
Epoch is 188
Number of batches 3
batch 0 d_loss : 0.435052
batch 0 g_loss : 1.325294
batch 1 d_loss : 0.330574
batch 1 g_loss : 1.081311
batch 2 d_loss : 0.409078
batch 2 g_loss : 1.588883
Epoch is 189
Number of batches 3
batch 0 d_loss : 0.423780
batch 0 g_loss : 1.602252
batch 1 d_loss : 0.406450
batch 1 g_loss : 1.448585
batch 2 d_loss : 0.362526
batch 2 g_loss : 1.847328
Epoch is 190
Number of batches 3
batch 0 d_loss : 0.433978
batch 0 g_loss : 1.711023
batch 1 d_loss : 0.383509
batch 1 g_loss : 1.488432
batch 2 d_loss : 0.336507
batch 2 g_loss : 1.528774
Epoch is 191
Number of batches 3
batch 0 d_loss : 0.358185
batch 0 g_loss : 0.882189
batch 1 d_loss : 0.372088
batch 1 g_loss : 1.448636
batch 2 d_loss : 0.361614
batch 2 g_loss : 2.092161
Epoch is 192
Number of batches 3
batch 0 d_loss : 0.400946
batch 0 g_loss : 1.632651
batch 1 d_loss : 0.358067
batch 1 g_loss : 1.367677
batch 2 d_loss : 0.330874
batch 2 g_loss : 1.532539
Epoch is 193
Number of batches 3
batch 0 d_loss : 0.436187
batch 0 g_loss : 1.717380
batch 1 d_loss : 0.400634
batch 1 g_loss : 1.436295
batch 2 d_loss : 0.343666
batch 2 g_loss : 1.681141
Epoch is 194
Number of batches 3
batch 0 d_loss : 0.441435
batch 0 g_loss : 1.925996
batch 1 d_loss : 0.358543
batch 1 g_loss : 0.813491
batch 2 d_loss : 0.459690
batch 2 g_loss : 1.899881
Epoch is 195
Number of batches 3
batch 0 d_loss : 0.430447
batch 0 g_loss : 1.488471
batch 1 d_loss : 0.335608
batch 1 g_loss : 1.268612
batch 2 d_loss : 0.353702
batch 2 g_loss : 1.570607
Epoch is 196
Number of batches 3
batch 0 d_loss : 0.432755
batch 0 g_loss : 1.316631
batch 1 d_loss : 0.357334
batch 1 g_loss : 1.412959
batch 2 d_loss : 0.318871
batch 2 g_loss : 1.480987
Epoch is 197
Number of batches 3
batch 0 d_loss : 0.426156
batch 0 g_loss : 1.867532
batch 1 d_loss : 0.328352
batch 1 g_loss : 1.458045
batch 2 d_loss : 0.509516
batch 2 g_loss : 1.955262
Epoch is 198
Number of batches 3
batch 0 d_loss : 0.441779
batch 0 g_loss : 1.759588
batch 1 d_loss : 0.354012
batch 1 g_loss : 1.327035
batch 2 d_loss : 0.326441
batch 2 g_loss : 1.432275
Epoch is 199
Number of batches 3
batch 0 d_loss : 0.309792
batch 0 g_loss : 1.289955
batch 1 d_loss : 0.330450
batch 1 g_loss : 1.739640
batch 2 d_loss : 0.400633
batch 2 g_loss : 1.753291
Epoch is 200
Number of batches 3
batch 0 d_loss : 0.391111
batch 0 g_loss : 1.493626
batch 1 d_loss : 0.322367
batch 1 g_loss : 1.730755
batch 2 d_loss : 0.311358
batch 2 g_loss : 1.336264
Epoch is 201
Number of batches 3
batch 0 d_loss : 0.426088
batch 0 g_loss : 1.841294
batch 1 d_loss : 0.423543
batch 1 g_loss : 1.644520
batch 2 d_loss : 0.394850
batch 2 g_loss : 1.293822
Epoch is 202
Number of batches 3
batch 0 d_loss : 0.346343
batch 0 g_loss : 1.354621
batch 1 d_loss : 0.273210
batch 1 g_loss : 1.334137
batch 2 d_loss : 0.389446
batch 2 g_loss : 1.503635
Epoch is 203
Number of batches 3
batch 0 d_loss : 0.346332
batch 0 g_loss : 1.479571
batch 1 d_loss : 0.323087
batch 1 g_loss : 1.790406
batch 2 d_loss : 0.298336
batch 2 g_loss : 1.471700
Epoch is 204
Number of batches 3
batch 0 d_loss : 0.426626
batch 0 g_loss : 1.942769
batch 1 d_loss : 0.390529
batch 1 g_loss : 2.005805
batch 2 d_loss : 0.397237
batch 2 g_loss : 1.678179
Epoch is 205
Number of batches 3
batch 0 d_loss : 0.315298
batch 0 g_loss : 1.404236
batch 1 d_loss : 0.341578
batch 1 g_loss : 1.547633
batch 2 d_loss : 0.334125
batch 2 g_loss : 1.669800
Epoch is 206
Number of batches 3
batch 0 d_loss : 0.300527
batch 0 g_loss : 1.308894
batch 1 d_loss : 0.395024
batch 1 g_loss : 2.225737
batch 2 d_loss : 0.366298
batch 2 g_loss : 1.694010
Epoch is 207
Number of batches 3
batch 0 d_loss : 0.383299
batch 0 g_loss : 1.257113
batch 1 d_loss : 0.297105
batch 1 g_loss : 1.727719
batch 2 d_loss : 0.394986
batch 2 g_loss : 1.898947
Epoch is 208
Number of batches 3
batch 0 d_loss : 0.398285
batch 0 g_loss : 1.468901
batch 1 d_loss : 0.248545
batch 1 g_loss : 1.207226
batch 2 d_loss : 0.378337
batch 2 g_loss : 1.875654
Epoch is 209
Number of batches 3
batch 0 d_loss : 0.358572
batch 0 g_loss : 1.490476
batch 1 d_loss : 0.310183
batch 1 g_loss : 1.934614
batch 2 d_loss : 0.265548
batch 2 g_loss : 1.309330
Epoch is 210
Number of batches 3
batch 0 d_loss : 0.318947
batch 0 g_loss : 1.385716
batch 1 d_loss : 0.285362
batch 1 g_loss : 1.526063
batch 2 d_loss : 0.247418
batch 2 g_loss : 1.494184
Epoch is 211
Number of batches 3
batch 0 d_loss : 0.375458
batch 0 g_loss : 1.755713
batch 1 d_loss : 0.324460
batch 1 g_loss : 2.064035
batch 2 d_loss : 0.303927
batch 2 g_loss : 1.657328
Epoch is 212
Number of batches 3
batch 0 d_loss : 0.452049
batch 0 g_loss : 2.145629
batch 1 d_loss : 0.282695
batch 1 g_loss : 1.253070
batch 2 d_loss : 0.475208
batch 2 g_loss : 2.235577
Epoch is 213
Number of batches 3
batch 0 d_loss : 0.469612
batch 0 g_loss : 1.971269
batch 1 d_loss : 0.340405
batch 1 g_loss : 1.180741
batch 2 d_loss : 0.323121
batch 2 g_loss : 1.794742
Epoch is 214
Number of batches 3
batch 0 d_loss : 0.289458
batch 0 g_loss : 1.248014
batch 1 d_loss : 0.266522
batch 1 g_loss : 1.566177
batch 2 d_loss : 0.300153
batch 2 g_loss : 1.741131
Epoch is 215
Number of batches 3
batch 0 d_loss : 0.414292
batch 0 g_loss : 2.205740
batch 1 d_loss : 0.321142
batch 1 g_loss : 1.273356
batch 2 d_loss : 0.272820
batch 2 g_loss : 1.509385
Epoch is 216
Number of batches 3
batch 0 d_loss : 0.406847
batch 0 g_loss : 2.312132
batch 1 d_loss : 0.399172
batch 1 g_loss : 1.763922
batch 2 d_loss : 0.357889
batch 2 g_loss : 1.993278
Epoch is 217
Number of batches 3
batch 0 d_loss : 0.385223
batch 0 g_loss : 1.922712
batch 1 d_loss : 0.276540
batch 1 g_loss : 1.581391
batch 2 d_loss : 0.399693
batch 2 g_loss : 1.861411
Epoch is 218
Number of batches 3
batch 0 d_loss : 0.359631
batch 0 g_loss : 1.783044
batch 1 d_loss : 0.381085
batch 1 g_loss : 1.843959
batch 2 d_loss : 0.340400
batch 2 g_loss : 1.814759
Epoch is 219
Number of batches 3
batch 0 d_loss : 0.349094
batch 0 g_loss : 1.615283
batch 1 d_loss : 0.369772
batch 1 g_loss : 2.185249
batch 2 d_loss : 0.335329
batch 2 g_loss : 1.881659
Epoch is 220
Number of batches 3
batch 0 d_loss : 0.485526
batch 0 g_loss : 1.977354
batch 1 d_loss : 0.402140
batch 1 g_loss : 1.717238
batch 2 d_loss : 0.244332
batch 2 g_loss : 1.217099
Epoch is 221
Number of batches 3
batch 0 d_loss : 0.404368
batch 0 g_loss : 1.505465
batch 1 d_loss : 0.256096
batch 1 g_loss : 1.099259
batch 2 d_loss : 0.362511
batch 2 g_loss : 2.429267
Epoch is 222
Number of batches 3
batch 0 d_loss : 0.355951
batch 0 g_loss : 1.810130
batch 1 d_loss : 0.376497
batch 1 g_loss : 1.951890
batch 2 d_loss : 0.266267
batch 2 g_loss : 1.522495
Epoch is 223
Number of batches 3
batch 0 d_loss : 0.305061
batch 0 g_loss : 1.003043
batch 1 d_loss : 0.274092
batch 1 g_loss : 1.722190
batch 2 d_loss : 0.276893
batch 2 g_loss : 2.210727
Epoch is 224
Number of batches 3
batch 0 d_loss : 0.458286
batch 0 g_loss : 2.033621
batch 1 d_loss : 0.369080
batch 1 g_loss : 1.918310
batch 2 d_loss : 0.294727
batch 2 g_loss : 1.899756
Epoch is 225
Number of batches 3
batch 0 d_loss : 0.326975
batch 0 g_loss : 1.205792
batch 1 d_loss : 0.292997
batch 1 g_loss : 1.305584
batch 2 d_loss : 0.220028
batch 2 g_loss : 1.763118
Epoch is 226
Number of batches 3
batch 0 d_loss : 0.272717
batch 0 g_loss : 1.062564
batch 1 d_loss : 0.335271
batch 1 g_loss : 1.690719
batch 2 d_loss : 0.295525
batch 2 g_loss : 2.084944
Epoch is 227
Number of batches 3
batch 0 d_loss : 0.335826
batch 0 g_loss : 1.610928
batch 1 d_loss : 0.372432
batch 1 g_loss : 1.881446
batch 2 d_loss : 0.317859
batch 2 g_loss : 2.478608
Epoch is 228
Number of batches 3
batch 0 d_loss : 0.351172
batch 0 g_loss : 1.643394
batch 1 d_loss : 0.306717
batch 1 g_loss : 1.449080
batch 2 d_loss : 0.165821
batch 2 g_loss : 1.218466
Epoch is 229
Number of batches 3
batch 0 d_loss : 0.392186
batch 0 g_loss : 1.513657
batch 1 d_loss : 0.327516
batch 1 g_loss : 1.500819
batch 2 d_loss : 0.352410
batch 2 g_loss : 2.206607
Epoch is 230
Number of batches 3
batch 0 d_loss : 0.357501
batch 0 g_loss : 1.617744
batch 1 d_loss : 0.421074
batch 1 g_loss : 2.033958
batch 2 d_loss : 0.266524
batch 2 g_loss : 2.185261
Epoch is 231
Number of batches 3
batch 0 d_loss : 0.270297
batch 0 g_loss : 1.354943
batch 1 d_loss : 0.300059
batch 1 g_loss : 1.629239
batch 2 d_loss : 0.290945
batch 2 g_loss : 2.505746
Epoch is 232
Number of batches 3
batch 0 d_loss : 0.369131
batch 0 g_loss : 2.147503
batch 1 d_loss : 0.323048
batch 1 g_loss : 1.270488
batch 2 d_loss : 0.235628
batch 2 g_loss : 1.631395
Epoch is 233
Number of batches 3
batch 0 d_loss : 0.318956
batch 0 g_loss : 1.390562
batch 1 d_loss : 0.429273
batch 1 g_loss : 2.075431
batch 2 d_loss : 0.288022
batch 2 g_loss : 2.085454
Epoch is 234
Number of batches 3
batch 0 d_loss : 0.243271
batch 0 g_loss : 1.219642
batch 1 d_loss : 0.413395
batch 1 g_loss : 2.226467
batch 2 d_loss : 0.225035
batch 2 g_loss : 1.714748
Epoch is 235
Number of batches 3
batch 0 d_loss : 0.283577
batch 0 g_loss : 1.990501
batch 1 d_loss : 0.370666
batch 1 g_loss : 1.797467
batch 2 d_loss : 0.259882
batch 2 g_loss : 2.302949
Epoch is 236
Number of batches 3
batch 0 d_loss : 0.256539
batch 0 g_loss : 1.879808
batch 1 d_loss : 0.207469
batch 1 g_loss : 1.208619
batch 2 d_loss : 0.545890
batch 2 g_loss : 2.743536
Epoch is 237
Number of batches 3
batch 0 d_loss : 0.355466
batch 0 g_loss : 2.395444
batch 1 d_loss : 0.433387
batch 1 g_loss : 1.463167
batch 2 d_loss : 0.224961
batch 2 g_loss : 2.068803
Epoch is 238
Number of batches 3
batch 0 d_loss : 0.236277
batch 0 g_loss : 1.842907
batch 1 d_loss : 0.277958
batch 1 g_loss : 1.938812
batch 2 d_loss : 0.320891
batch 2 g_loss : 2.388977
Epoch is 239
Number of batches 3
batch 0 d_loss : 0.268598
batch 0 g_loss : 2.043559
batch 1 d_loss : 0.380038
batch 1 g_loss : 1.711172
batch 2 d_loss : 0.237564
batch 2 g_loss : 1.805092
Epoch is 240
Number of batches 3
batch 0 d_loss : 0.270593
batch 0 g_loss : 1.833447
batch 1 d_loss : 0.432279
batch 1 g_loss : 2.344119
batch 2 d_loss : 0.327658
batch 2 g_loss : 2.323677
Epoch is 241
Number of batches 3
batch 0 d_loss : 0.244786
batch 0 g_loss : 1.893242
batch 1 d_loss : 0.290546
batch 1 g_loss : 1.360778
batch 2 d_loss : 0.215540
batch 2 g_loss : 1.603679
Epoch is 242
Number of batches 3
batch 0 d_loss : 0.224142
batch 0 g_loss : 1.552907
batch 1 d_loss : 0.265479
batch 1 g_loss : 1.529811
batch 2 d_loss : 0.252436
batch 2 g_loss : 1.863127
Epoch is 243
Number of batches 3
batch 0 d_loss : 0.267141
batch 0 g_loss : 2.027542
batch 1 d_loss : 0.307219
batch 1 g_loss : 1.634625
batch 2 d_loss : 0.289467
batch 2 g_loss : 1.901012
Epoch is 244
Number of batches 3
batch 0 d_loss : 0.281068
batch 0 g_loss : 2.079230
batch 1 d_loss : 0.269722
batch 1 g_loss : 1.203685
batch 2 d_loss : 0.256316
batch 2 g_loss : 1.695161
Epoch is 245
Number of batches 3
batch 0 d_loss : 0.196156
batch 0 g_loss : 1.557051
batch 1 d_loss : 0.313710
batch 1 g_loss : 2.158685
batch 2 d_loss : 0.242645
batch 2 g_loss : 1.809608
Epoch is 246
Number of batches 3
batch 0 d_loss : 0.188205
batch 0 g_loss : 1.433392
batch 1 d_loss : 0.207328
batch 1 g_loss : 1.535095
batch 2 d_loss : 0.206236
batch 2 g_loss : 2.018422
Epoch is 247
Number of batches 3
batch 0 d_loss : 0.189793
batch 0 g_loss : 1.630393
batch 1 d_loss : 0.271688
batch 1 g_loss : 1.849096
batch 2 d_loss : 0.284520
batch 2 g_loss : 1.345586
Epoch is 248
Number of batches 3
batch 0 d_loss : 0.214232
batch 0 g_loss : 1.480524
batch 1 d_loss : 0.306818
batch 1 g_loss : 2.043833
batch 2 d_loss : 0.247885
batch 2 g_loss : 1.737920
Epoch is 249
Number of batches 3
batch 0 d_loss : 0.239010
batch 0 g_loss : 2.430840
batch 1 d_loss : 0.385490
batch 1 g_loss : 2.535220
batch 2 d_loss : 0.284066
batch 2 g_loss : 2.091117
Epoch is 250
Number of batches 3
batch 0 d_loss : 0.257297
batch 0 g_loss : 1.102701
batch 1 d_loss : 0.265710
batch 1 g_loss : 2.131310
batch 2 d_loss : 0.243067
batch 2 g_loss : 2.085995
Epoch is 251
Number of batches 3
batch 0 d_loss : 0.317456
batch 0 g_loss : 1.807836
batch 1 d_loss : 0.308218
batch 1 g_loss : 1.418236
batch 2 d_loss : 0.270570
batch 2 g_loss : 2.350953
Epoch is 252
Number of batches 3
batch 0 d_loss : 0.400661
batch 0 g_loss : 2.714329
batch 1 d_loss : 0.372287
batch 1 g_loss : 1.692114
batch 2 d_loss : 0.247452
batch 2 g_loss : 1.689623
Epoch is 253
Number of batches 3
batch 0 d_loss : 0.272542
batch 0 g_loss : 1.983115
batch 1 d_loss : 0.252645
batch 1 g_loss : 1.571341
batch 2 d_loss : 0.269783
batch 2 g_loss : 2.188059
Epoch is 254
Number of batches 3
batch 0 d_loss : 0.217900
batch 0 g_loss : 1.552825
batch 1 d_loss : 0.256332
batch 1 g_loss : 2.062637
batch 2 d_loss : 0.264716
batch 2 g_loss : 3.032373
Epoch is 255
Number of batches 3
batch 0 d_loss : 0.229413
batch 0 g_loss : 1.476171
batch 1 d_loss : 0.248299
batch 1 g_loss : 1.792465
batch 2 d_loss : 0.269122
batch 2 g_loss : 2.610432
Epoch is 256
Number of batches 3
batch 0 d_loss : 0.249240
batch 0 g_loss : 2.046571
batch 1 d_loss : 0.204400
batch 1 g_loss : 1.914493
batch 2 d_loss : 0.394692
batch 2 g_loss : 2.801100
Epoch is 257
Number of batches 3
batch 0 d_loss : 0.280631
batch 0 g_loss : 2.062261
batch 1 d_loss : 0.237703
batch 1 g_loss : 1.606983
batch 2 d_loss : 0.262704
batch 2 g_loss : 2.170863
Epoch is 258
Number of batches 3
batch 0 d_loss : 0.321848
batch 0 g_loss : 2.233822
batch 1 d_loss : 0.271283
batch 1 g_loss : 1.392399
batch 2 d_loss : 0.365479
batch 2 g_loss : 2.803120
Epoch is 259
Number of batches 3
batch 0 d_loss : 0.231994
batch 0 g_loss : 1.506409
batch 1 d_loss : 0.214855
batch 1 g_loss : 1.196291
batch 2 d_loss : 0.243936
batch 2 g_loss : 1.962969
Epoch is 260
Number of batches 3
batch 0 d_loss : 0.208869
batch 0 g_loss : 1.831192
batch 1 d_loss : 0.214203
batch 1 g_loss : 1.458018
batch 2 d_loss : 0.294082
batch 2 g_loss : 2.223252
Epoch is 261
Number of batches 3
batch 0 d_loss : 0.221809
batch 0 g_loss : 2.273587
batch 1 d_loss : 0.185778
batch 1 g_loss : 1.573751
batch 2 d_loss : 0.185320
batch 2 g_loss : 1.676542
Epoch is 262
Number of batches 3
batch 0 d_loss : 0.250519
batch 0 g_loss : 2.130693
batch 1 d_loss : 0.243408
batch 1 g_loss : 1.824754
batch 2 d_loss : 0.383028
batch 2 g_loss : 3.012641
Epoch is 263
Number of batches 3
batch 0 d_loss : 0.310449
batch 0 g_loss : 1.587013
batch 1 d_loss : 0.230387
batch 1 g_loss : 1.552418
batch 2 d_loss : 0.211243
batch 2 g_loss : 2.257891
Epoch is 264
Number of batches 3
batch 0 d_loss : 0.295460
batch 0 g_loss : 2.328581
batch 1 d_loss : 0.251612
batch 1 g_loss : 2.151512
batch 2 d_loss : 0.214121
batch 2 g_loss : 2.004438
Epoch is 265
Number of batches 3
batch 0 d_loss : 0.154905
batch 0 g_loss : 1.669040
batch 1 d_loss : 0.308637
batch 1 g_loss : 2.873789
batch 2 d_loss : 0.312375
batch 2 g_loss : 2.376616
Epoch is 266
Number of batches 3
batch 0 d_loss : 0.202217
batch 0 g_loss : 1.842643
batch 1 d_loss : 0.239047
batch 1 g_loss : 1.915937
batch 2 d_loss : 0.260663
batch 2 g_loss : 1.992970
Epoch is 267
Number of batches 3
batch 0 d_loss : 0.206172
batch 0 g_loss : 1.723551
batch 1 d_loss : 0.200438
batch 1 g_loss : 1.730859
batch 2 d_loss : 0.233258
batch 2 g_loss : 2.553883
Epoch is 268
Number of batches 3
batch 0 d_loss : 0.202311
batch 0 g_loss : 1.617928
batch 1 d_loss : 0.290242
batch 1 g_loss : 2.141208
batch 2 d_loss : 0.248341
batch 2 g_loss : 2.583395
Epoch is 269
Number of batches 3
batch 0 d_loss : 0.240567
batch 0 g_loss : 2.235758
batch 1 d_loss : 0.187286
batch 1 g_loss : 1.947054
batch 2 d_loss : 0.187665
batch 2 g_loss : 1.626104
Epoch is 270
Number of batches 3
batch 0 d_loss : 0.305729
batch 0 g_loss : 2.165966
batch 1 d_loss : 0.276557
batch 1 g_loss : 2.367683
batch 2 d_loss : 0.212823
batch 2 g_loss : 2.394544
Epoch is 271
Number of batches 3
batch 0 d_loss : 0.262198
batch 0 g_loss : 1.958302
batch 1 d_loss : 0.289900
batch 1 g_loss : 1.977506
batch 2 d_loss : 0.252898
batch 2 g_loss : 2.111183
Epoch is 272
Number of batches 3
batch 0 d_loss : 0.237719
batch 0 g_loss : 1.833710
batch 1 d_loss : 0.174354
batch 1 g_loss : 1.756598
batch 2 d_loss : 0.295752
batch 2 g_loss : 2.480666
Epoch is 273
Number of batches 3
batch 0 d_loss : 0.276939
batch 0 g_loss : 2.264780
batch 1 d_loss : 0.233077
batch 1 g_loss : 1.881998
batch 2 d_loss : 0.203487
batch 2 g_loss : 1.553172
Epoch is 274
Number of batches 3
batch 0 d_loss : 0.283149
batch 0 g_loss : 2.777392
batch 1 d_loss : 0.214209
batch 1 g_loss : 2.222495
batch 2 d_loss : 0.211825
batch 2 g_loss : 2.055979
Epoch is 275
Number of batches 3
batch 0 d_loss : 0.222660
batch 0 g_loss : 2.540387
batch 1 d_loss : 0.251019
batch 1 g_loss : 2.236191
batch 2 d_loss : 0.258842
batch 2 g_loss : 1.711408
Epoch is 276
Number of batches 3
batch 0 d_loss : 0.268174
batch 0 g_loss : 2.641196
batch 1 d_loss : 0.194259
batch 1 g_loss : 2.654820
batch 2 d_loss : 0.235775
batch 2 g_loss : 1.880237
Epoch is 277
Number of batches 3
batch 0 d_loss : 0.202508
batch 0 g_loss : 2.457263
batch 1 d_loss : 0.148572
batch 1 g_loss : 2.155511
batch 2 d_loss : 0.240212
batch 2 g_loss : 2.204317
Epoch is 278
Number of batches 3
batch 0 d_loss : 0.242665
batch 0 g_loss : 1.799442
batch 1 d_loss : 0.306031
batch 1 g_loss : 2.357644
batch 2 d_loss : 0.244101
batch 2 g_loss : 1.839243
Epoch is 279
Number of batches 3
batch 0 d_loss : 0.293376
batch 0 g_loss : 3.021382
batch 1 d_loss : 0.208196
batch 1 g_loss : 2.128566
batch 2 d_loss : 0.252337
batch 2 g_loss : 1.965575
Epoch is 280
Number of batches 3
batch 0 d_loss : 0.188067
batch 0 g_loss : 1.794522
batch 1 d_loss : 0.351151
batch 1 g_loss : 2.976253
batch 2 d_loss : 0.295098
batch 2 g_loss : 1.992400
Epoch is 281
Number of batches 3
batch 0 d_loss : 0.173903
batch 0 g_loss : 1.612881
batch 1 d_loss : 0.240103
batch 1 g_loss : 2.275394
batch 2 d_loss : 0.200425
batch 2 g_loss : 2.080412
Epoch is 282
Number of batches 3
batch 0 d_loss : 0.216356
batch 0 g_loss : 1.958702
batch 1 d_loss : 0.282031
batch 1 g_loss : 2.680779
batch 2 d_loss : 0.259555
batch 2 g_loss : 2.196563
Epoch is 283
Number of batches 3
batch 0 d_loss : 0.272515
batch 0 g_loss : 1.716521
batch 1 d_loss : 0.104620
batch 1 g_loss : 1.933632
batch 2 d_loss : 0.245839
batch 2 g_loss : 2.443891
Epoch is 284
Number of batches 3
batch 0 d_loss : 0.303928
batch 0 g_loss : 2.874652
batch 1 d_loss : 0.187373
batch 1 g_loss : 2.087945
batch 2 d_loss : 0.241177
batch 2 g_loss : 2.353165
Epoch is 285
Number of batches 3
batch 0 d_loss : 0.213706
batch 0 g_loss : 2.482190
batch 1 d_loss : 0.213309
batch 1 g_loss : 3.094775
batch 2 d_loss : 0.208377
batch 2 g_loss : 2.168944
Epoch is 286
Number of batches 3
batch 0 d_loss : 0.270270
batch 0 g_loss : 2.606792
batch 1 d_loss : 0.220188
batch 1 g_loss : 1.773662
batch 2 d_loss : 0.186192
batch 2 g_loss : 2.684704
Epoch is 287
Number of batches 3
batch 0 d_loss : 0.267328
batch 0 g_loss : 2.468656
batch 1 d_loss : 0.218560
batch 1 g_loss : 2.401831
batch 2 d_loss : 0.138580
batch 2 g_loss : 1.744901
Epoch is 288
Number of batches 3
batch 0 d_loss : 0.307049
batch 0 g_loss : 2.142960
batch 1 d_loss : 0.170652
batch 1 g_loss : 1.585137
batch 2 d_loss : 0.174270
batch 2 g_loss : 1.736741
Epoch is 289
Number of batches 3
batch 0 d_loss : 0.281911
batch 0 g_loss : 2.466775
batch 1 d_loss : 0.222570
batch 1 g_loss : 2.144457
batch 2 d_loss : 0.149269
batch 2 g_loss : 2.258590
Epoch is 290
Number of batches 3
batch 0 d_loss : 0.204462
batch 0 g_loss : 2.169284
batch 1 d_loss : 0.199953
batch 1 g_loss : 2.497068
batch 2 d_loss : 0.151048
batch 2 g_loss : 2.154744
Epoch is 291
Number of batches 3
batch 0 d_loss : 0.233499
batch 0 g_loss : 2.611076
batch 1 d_loss : 0.188320
batch 1 g_loss : 2.287851
batch 2 d_loss : 0.109240
batch 2 g_loss : 1.492696
Epoch is 292
Number of batches 3
batch 0 d_loss : 0.179854
batch 0 g_loss : 1.926341
batch 1 d_loss : 0.260904
batch 1 g_loss : 2.754897
batch 2 d_loss : 0.247799
batch 2 g_loss : 3.026878
Epoch is 293
Number of batches 3
batch 0 d_loss : 0.218191
batch 0 g_loss : 2.178734
batch 1 d_loss : 0.155230
batch 1 g_loss : 2.242027
batch 2 d_loss : 0.099977
batch 2 g_loss : 2.027521
Epoch is 294
Number of batches 3
batch 0 d_loss : 0.343424
batch 0 g_loss : 3.495528
batch 1 d_loss : 0.242886
batch 1 g_loss : 1.862578
batch 2 d_loss : 0.271502
batch 2 g_loss : 2.462960
Epoch is 295
Number of batches 3
batch 0 d_loss : 0.236680
batch 0 g_loss : 2.776728
batch 1 d_loss : 0.202931
batch 1 g_loss : 2.958496
batch 2 d_loss : 0.145350
batch 2 g_loss : 1.938848
Epoch is 296
Number of batches 3
batch 0 d_loss : 0.303909
batch 0 g_loss : 2.824450
batch 1 d_loss : 0.196617
batch 1 g_loss : 1.680983
batch 2 d_loss : 0.180074
batch 2 g_loss : 1.565476
Epoch is 297
Number of batches 3
batch 0 d_loss : 0.214414
batch 0 g_loss : 2.304510
batch 1 d_loss : 0.180802
batch 1 g_loss : 2.472210
batch 2 d_loss : 0.207300
batch 2 g_loss : 3.045129
Epoch is 298
Number of batches 3
batch 0 d_loss : 0.220367
batch 0 g_loss : 2.271543
batch 1 d_loss : 0.147954
batch 1 g_loss : 2.110755
batch 2 d_loss : 0.173575
batch 2 g_loss : 2.170840
Epoch is 299
Number of batches 3
batch 0 d_loss : 0.337742
batch 0 g_loss : 3.486074
batch 1 d_loss : 0.212903
batch 1 g_loss : 2.212903
batch 2 d_loss : 0.152871
batch 2 g_loss : 1.381853
Epoch is 300
Number of batches 3
batch 0 d_loss : 0.205796
batch 0 g_loss : 2.143300
batch 1 d_loss : 0.195747
batch 1 g_loss : 2.278571
batch 2 d_loss : 0.188206
batch 2 g_loss : 2.762496
Epoch is 301
Number of batches 3
batch 0 d_loss : 0.271741
batch 0 g_loss : 2.161089
batch 1 d_loss : 0.202663
batch 1 g_loss : 2.852922
batch 2 d_loss : 0.264080
batch 2 g_loss : 3.397557
Epoch is 302
Number of batches 3
batch 0 d_loss : 0.251693
batch 0 g_loss : 2.019876
batch 1 d_loss : 0.145797
batch 1 g_loss : 2.212808
batch 2 d_loss : 0.312425
batch 2 g_loss : 3.176939
Epoch is 303
Number of batches 3
batch 0 d_loss : 0.253290
batch 0 g_loss : 2.353109
batch 1 d_loss : 0.140367
batch 1 g_loss : 2.145894
batch 2 d_loss : 0.147890
batch 2 g_loss : 3.204146
Epoch is 304
Number of batches 3
batch 0 d_loss : 0.271395
batch 0 g_loss : 2.313201
batch 1 d_loss : 0.187618
batch 1 g_loss : 2.107994
batch 2 d_loss : 0.160424
batch 2 g_loss : 2.589324
Epoch is 305
Number of batches 3
batch 0 d_loss : 0.248084
batch 0 g_loss : 2.319132
batch 1 d_loss : 0.146888
batch 1 g_loss : 2.583828
batch 2 d_loss : 0.179294
batch 2 g_loss : 2.408369
Epoch is 306
Number of batches 3
batch 0 d_loss : 0.146995
batch 0 g_loss : 2.217721
batch 1 d_loss : 0.174683
batch 1 g_loss : 2.234214
batch 2 d_loss : 0.190567
batch 2 g_loss : 2.474622
Epoch is 307
Number of batches 3
batch 0 d_loss : 0.198784
batch 0 g_loss : 1.964261
batch 1 d_loss : 0.148541
batch 1 g_loss : 2.657916
batch 2 d_loss : 0.204992
batch 2 g_loss : 2.730995
Epoch is 308
Number of batches 3
batch 0 d_loss : 0.235043
batch 0 g_loss : 2.644003
batch 1 d_loss : 0.149702
batch 1 g_loss : 2.429887
batch 2 d_loss : 0.133572
batch 2 g_loss : 2.569873
Epoch is 309
Number of batches 3
batch 0 d_loss : 0.143705
batch 0 g_loss : 3.067023
batch 1 d_loss : 0.178862
batch 1 g_loss : 2.851830
batch 2 d_loss : 0.165027
batch 2 g_loss : 2.694640
Epoch is 310
Number of batches 3
batch 0 d_loss : 0.248236
batch 0 g_loss : 2.983610
batch 1 d_loss : 0.143706
batch 1 g_loss : 2.312104
batch 2 d_loss : 0.160357
batch 2 g_loss : 2.314838
Epoch is 311
Number of batches 3
batch 0 d_loss : 0.156462
batch 0 g_loss : 2.392545
batch 1 d_loss : 0.119896
batch 1 g_loss : 1.835354
batch 2 d_loss : 0.175040
batch 2 g_loss : 2.561019
Epoch is 312
Number of batches 3
batch 0 d_loss : 0.234841
batch 0 g_loss : 3.140575
batch 1 d_loss : 0.173193
batch 1 g_loss : 1.454540
batch 2 d_loss : 0.135554
batch 2 g_loss : 2.332185
Epoch is 313
Number of batches 3
batch 0 d_loss : 0.113203
batch 0 g_loss : 1.898919
batch 1 d_loss : 0.124985
batch 1 g_loss : 2.710679
batch 2 d_loss : 0.156248
batch 2 g_loss : 2.469721
Epoch is 314
Number of batches 3
batch 0 d_loss : 0.143431
batch 0 g_loss : 3.148019
batch 1 d_loss : 0.133684
batch 1 g_loss : 1.637904
batch 2 d_loss : 0.275430
batch 2 g_loss : 4.012308
Epoch is 315
Number of batches 3
batch 0 d_loss : 0.198930
batch 0 g_loss : 2.262924
batch 1 d_loss : 0.152466
batch 1 g_loss : 2.073928
batch 2 d_loss : 0.307679
batch 2 g_loss : 2.394479
Epoch is 316
Number of batches 3
batch 0 d_loss : 0.163966
batch 0 g_loss : 3.200042
batch 1 d_loss : 0.116017
batch 1 g_loss : 2.100294
batch 2 d_loss : 0.252355
batch 2 g_loss : 2.267428
Epoch is 317
Number of batches 3
batch 0 d_loss : 0.184769
batch 0 g_loss : 2.595462
batch 1 d_loss : 0.213817
batch 1 g_loss : 2.097074
batch 2 d_loss : 0.143355
batch 2 g_loss : 1.790579
Epoch is 318
Number of batches 3
batch 0 d_loss : 0.130076
batch 0 g_loss : 2.753821
batch 1 d_loss : 0.168369
batch 1 g_loss : 3.374142
batch 2 d_loss : 0.203549
batch 2 g_loss : 2.285069
Epoch is 319
Number of batches 3
batch 0 d_loss : 0.236864
batch 0 g_loss : 3.145493
batch 1 d_loss : 0.195321
batch 1 g_loss : 2.740822
batch 2 d_loss : 0.175937
batch 2 g_loss : 2.863586
Epoch is 320
Number of batches 3
batch 0 d_loss : 0.149784
batch 0 g_loss : 2.646234
batch 1 d_loss : 0.136747
batch 1 g_loss : 2.403648
batch 2 d_loss : 0.326797
batch 2 g_loss : 2.808197
Epoch is 321
Number of batches 3
batch 0 d_loss : 0.177922
batch 0 g_loss : 2.543133
batch 1 d_loss : 0.204494
batch 1 g_loss : 3.094214
batch 2 d_loss : 0.147218
batch 2 g_loss : 2.246333
Epoch is 322
Number of batches 3
batch 0 d_loss : 0.306664
batch 0 g_loss : 2.595102
batch 1 d_loss : 0.133066
batch 1 g_loss : 2.690903
batch 2 d_loss : 0.204798
batch 2 g_loss : 2.668364
Epoch is 323
Number of batches 3
batch 0 d_loss : 0.194054
batch 0 g_loss : 3.410284
batch 1 d_loss : 0.121691
batch 1 g_loss : 2.243246
batch 2 d_loss : 0.118641
batch 2 g_loss : 2.125316
Epoch is 324
Number of batches 3
batch 0 d_loss : 0.252101
batch 0 g_loss : 2.733435
batch 1 d_loss : 0.148324
batch 1 g_loss : 3.398487
batch 2 d_loss : 0.171454
batch 2 g_loss : 2.747034
Epoch is 325
Number of batches 3
batch 0 d_loss : 0.192248
batch 0 g_loss : 2.564089
batch 1 d_loss : 0.089699
batch 1 g_loss : 2.598686
batch 2 d_loss : 0.254446
batch 2 g_loss : 3.253117
Epoch is 326
Number of batches 3
batch 0 d_loss : 0.192117
batch 0 g_loss : 2.525915
batch 1 d_loss : 0.223126
batch 1 g_loss : 4.091678
batch 2 d_loss : 0.244141
batch 2 g_loss : 2.373385
Epoch is 327
Number of batches 3
batch 0 d_loss : 0.194858
batch 0 g_loss : 1.926799
batch 1 d_loss : 0.151791
batch 1 g_loss : 2.699733
batch 2 d_loss : 0.238960
batch 2 g_loss : 3.349708
Epoch is 328
Number of batches 3
batch 0 d_loss : 0.188476
batch 0 g_loss : 2.993340
batch 1 d_loss : 0.165516
batch 1 g_loss : 2.848127
batch 2 d_loss : 0.141345
batch 2 g_loss : 2.222568
Epoch is 329
Number of batches 3
batch 0 d_loss : 0.300424
batch 0 g_loss : 3.167658
batch 1 d_loss : 0.125918
batch 1 g_loss : 2.567477
batch 2 d_loss : 0.133314
batch 2 g_loss : 2.668766
Epoch is 330
Number of batches 3
batch 0 d_loss : 0.210426
batch 0 g_loss : 2.348133
batch 1 d_loss : 0.135394
batch 1 g_loss : 2.844993
batch 2 d_loss : 0.136006
batch 2 g_loss : 2.105468
Epoch is 331
Number of batches 3
batch 0 d_loss : 0.131012
batch 0 g_loss : 2.389152
batch 1 d_loss : 0.180926
batch 1 g_loss : 3.446723
batch 2 d_loss : 0.158493
batch 2 g_loss : 2.073590
Epoch is 332
Number of batches 3
batch 0 d_loss : 0.263214
batch 0 g_loss : 3.243177
batch 1 d_loss : 0.109322
batch 1 g_loss : 2.534438
batch 2 d_loss : 0.150286
batch 2 g_loss : 2.199049
Epoch is 333
Number of batches 3
batch 0 d_loss : 0.132826
batch 0 g_loss : 2.544951
batch 1 d_loss : 0.163903
batch 1 g_loss : 2.497340
batch 2 d_loss : 0.141789
batch 2 g_loss : 2.440829
Epoch is 334
Number of batches 3
batch 0 d_loss : 0.169671
batch 0 g_loss : 2.898987
batch 1 d_loss : 0.166516
batch 1 g_loss : 3.561354
batch 2 d_loss : 0.157957
batch 2 g_loss : 2.258473
Epoch is 335
Number of batches 3
batch 0 d_loss : 0.184085
batch 0 g_loss : 2.512584
batch 1 d_loss : 0.172110
batch 1 g_loss : 3.900305
batch 2 d_loss : 0.146729
batch 2 g_loss : 2.686578
Epoch is 336
Number of batches 3
batch 0 d_loss : 0.210288
batch 0 g_loss : 2.735357
batch 1 d_loss : 0.127554
batch 1 g_loss : 2.917689
batch 2 d_loss : 0.137148
batch 2 g_loss : 2.830590
Epoch is 337
Number of batches 3
batch 0 d_loss : 0.208875
batch 0 g_loss : 3.468022
batch 1 d_loss : 0.105876
batch 1 g_loss : 2.862651
batch 2 d_loss : 0.090844
batch 2 g_loss : 1.635661
Epoch is 338
Number of batches 3
batch 0 d_loss : 0.268555
batch 0 g_loss : 2.676069
batch 1 d_loss : 0.103347
batch 1 g_loss : 2.640173
batch 2 d_loss : 0.165953
batch 2 g_loss : 2.597057
Epoch is 339
Number of batches 3
batch 0 d_loss : 0.133090
batch 0 g_loss : 2.522356
batch 1 d_loss : 0.156713
batch 1 g_loss : 3.316709
batch 2 d_loss : 0.162779
batch 2 g_loss : 2.246763
Epoch is 340
Number of batches 3
batch 0 d_loss : 0.191001
batch 0 g_loss : 3.644698
batch 1 d_loss : 0.115480
batch 1 g_loss : 3.451306
batch 2 d_loss : 0.150681
batch 2 g_loss : 2.246471
Epoch is 341
Number of batches 3
batch 0 d_loss : 0.135213
batch 0 g_loss : 2.442863
batch 1 d_loss : 0.111574
batch 1 g_loss : 3.039880
batch 2 d_loss : 0.116614
batch 2 g_loss : 2.159616
Epoch is 342
Number of batches 3
batch 0 d_loss : 0.163698
batch 0 g_loss : 3.416432
batch 1 d_loss : 0.074814
batch 1 g_loss : 2.893729
batch 2 d_loss : 0.123157
batch 2 g_loss : 2.560179
Epoch is 343
Number of batches 3
batch 0 d_loss : 0.196419
batch 0 g_loss : 2.970203
batch 1 d_loss : 0.095001
batch 1 g_loss : 3.238399
batch 2 d_loss : 0.126883
batch 2 g_loss : 2.832487
Epoch is 344
Number of batches 3
batch 0 d_loss : 0.131748
batch 0 g_loss : 2.096608
batch 1 d_loss : 0.107868
batch 1 g_loss : 3.186231
batch 2 d_loss : 0.252305
batch 2 g_loss : 3.595868
Epoch is 345
Number of batches 3
batch 0 d_loss : 0.290935
batch 0 g_loss : 3.330255
batch 1 d_loss : 0.080823
batch 1 g_loss : 2.219856
batch 2 d_loss : 0.097357
batch 2 g_loss : 2.319714
Epoch is 346
Number of batches 3
batch 0 d_loss : 0.178173
batch 0 g_loss : 3.557246
batch 1 d_loss : 0.083523
batch 1 g_loss : 2.868362
batch 2 d_loss : 0.154571
batch 2 g_loss : 2.427698
Epoch is 347
Number of batches 3
batch 0 d_loss : 0.149699
batch 0 g_loss : 2.416255
batch 1 d_loss : 0.208451
batch 1 g_loss : 3.883310
batch 2 d_loss : 0.231669
batch 2 g_loss : 3.018143
Epoch is 348
Number of batches 3
batch 0 d_loss : 0.142963
batch 0 g_loss : 2.530668
batch 1 d_loss : 0.146665
batch 1 g_loss : 3.057189
batch 2 d_loss : 0.153557
batch 2 g_loss : 3.576286
Epoch is 349
Number of batches 3
batch 0 d_loss : 0.127203
batch 0 g_loss : 2.803211
batch 1 d_loss : 0.120549
batch 1 g_loss : 3.483362
batch 2 d_loss : 0.113033
batch 2 g_loss : 2.690402
Epoch is 350
Number of batches 3
batch 0 d_loss : 0.123352
batch 0 g_loss : 2.692098
batch 1 d_loss : 0.169733
batch 1 g_loss : 4.111323
batch 2 d_loss : 0.127370
batch 2 g_loss : 2.648094
Epoch is 351
Number of batches 3
batch 0 d_loss : 0.148709
batch 0 g_loss : 2.843858
batch 1 d_loss : 0.208444
batch 1 g_loss : 3.960860
batch 2 d_loss : 0.147998
batch 2 g_loss : 2.584518
Epoch is 352
Number of batches 3
batch 0 d_loss : 0.152342
batch 0 g_loss : 2.480790
batch 1 d_loss : 0.148273
batch 1 g_loss : 2.690135
batch 2 d_loss : 0.143663
batch 2 g_loss : 3.408070
Epoch is 353
Number of batches 3
batch 0 d_loss : 0.183409
batch 0 g_loss : 3.163343
batch 1 d_loss : 0.188189
batch 1 g_loss : 2.668565
batch 2 d_loss : 0.125913
batch 2 g_loss : 3.021740
Epoch is 354
Number of batches 3
batch 0 d_loss : 0.145759
batch 0 g_loss : 3.347543
batch 1 d_loss : 0.141387
batch 1 g_loss : 3.113550
batch 2 d_loss : 0.083748
batch 2 g_loss : 2.448133
Epoch is 355
Number of batches 3
batch 0 d_loss : 0.138843
batch 0 g_loss : 3.096281
batch 1 d_loss : 0.216899
batch 1 g_loss : 3.590321
batch 2 d_loss : 0.098812
batch 2 g_loss : 3.533180
Epoch is 356
Number of batches 3
batch 0 d_loss : 0.140120
batch 0 g_loss : 2.802816
batch 1 d_loss : 0.076737
batch 1 g_loss : 2.425625
batch 2 d_loss : 0.123533
batch 2 g_loss : 3.494706
Epoch is 357
Number of batches 3
batch 0 d_loss : 0.116833
batch 0 g_loss : 2.758283
batch 1 d_loss : 0.121815
batch 1 g_loss : 2.399386
batch 2 d_loss : 0.144116
batch 2 g_loss : 3.873315
Epoch is 358
Number of batches 3
batch 0 d_loss : 0.125502
batch 0 g_loss : 2.858713
batch 1 d_loss : 0.104096
batch 1 g_loss : 2.553442
batch 2 d_loss : 0.073163
batch 2 g_loss : 2.192681
Epoch is 359
Number of batches 3
batch 0 d_loss : 0.169939
batch 0 g_loss : 2.751081
batch 1 d_loss : 0.116297
batch 1 g_loss : 2.601642
batch 2 d_loss : 0.134209
batch 2 g_loss : 3.530437
Epoch is 360
Number of batches 3
batch 0 d_loss : 0.258028
batch 0 g_loss : 3.822508
batch 1 d_loss : 0.154266
batch 1 g_loss : 2.269130
batch 2 d_loss : 0.125821
batch 2 g_loss : 2.702597
Epoch is 361
Number of batches 3
batch 0 d_loss : 0.144404
batch 0 g_loss : 2.713014
batch 1 d_loss : 0.121938
batch 1 g_loss : 3.463184
batch 2 d_loss : 0.135024
batch 2 g_loss : 2.759836
Epoch is 362
Number of batches 3
batch 0 d_loss : 0.130572
batch 0 g_loss : 2.858240
batch 1 d_loss : 0.215680
batch 1 g_loss : 3.960304
batch 2 d_loss : 0.214072
batch 2 g_loss : 3.820245
Epoch is 363
Number of batches 3
batch 0 d_loss : 0.118412
batch 0 g_loss : 2.536729
batch 1 d_loss : 0.149036
batch 1 g_loss : 2.843286
batch 2 d_loss : 0.114744
batch 2 g_loss : 2.578571
Epoch is 364
Number of batches 3
batch 0 d_loss : 0.116215
batch 0 g_loss : 2.867841
batch 1 d_loss : 0.142795
batch 1 g_loss : 3.373869
batch 2 d_loss : 0.137508
batch 2 g_loss : 2.950565
Epoch is 365
Number of batches 3
batch 0 d_loss : 0.103861
batch 0 g_loss : 2.473325
batch 1 d_loss : 0.113354
batch 1 g_loss : 2.655065
batch 2 d_loss : 0.119316
batch 2 g_loss : 2.290669
Epoch is 366
Number of batches 3
batch 0 d_loss : 0.183473
batch 0 g_loss : 3.441152
batch 1 d_loss : 0.162392
batch 1 g_loss : 3.404977
batch 2 d_loss : 0.143090
batch 2 g_loss : 2.618726
Epoch is 367
Number of batches 3
batch 0 d_loss : 0.135900
batch 0 g_loss : 2.661295
batch 1 d_loss : 0.103055
batch 1 g_loss : 3.658984
batch 2 d_loss : 0.126292
batch 2 g_loss : 2.907032
Epoch is 368
Number of batches 3
batch 0 d_loss : 0.136198
batch 0 g_loss : 2.944177
batch 1 d_loss : 0.082755
batch 1 g_loss : 2.666907
batch 2 d_loss : 0.114084
batch 2 g_loss : 1.972512
Epoch is 369
Number of batches 3
batch 0 d_loss : 0.161413
batch 0 g_loss : 3.129494
batch 1 d_loss : 0.153340
batch 1 g_loss : 3.170294
batch 2 d_loss : 0.138391
batch 2 g_loss : 2.382977
Epoch is 370
Number of batches 3
batch 0 d_loss : 0.117701
batch 0 g_loss : 2.324962
batch 1 d_loss : 0.091515
batch 1 g_loss : 2.389539
batch 2 d_loss : 0.171524
batch 2 g_loss : 3.255848
Epoch is 371
Number of batches 3
batch 0 d_loss : 0.145031
batch 0 g_loss : 3.265329
batch 1 d_loss : 0.174662
batch 1 g_loss : 3.709431
batch 2 d_loss : 0.144961
batch 2 g_loss : 2.351172
Epoch is 372
Number of batches 3
batch 0 d_loss : 0.134329
batch 0 g_loss : 2.511851
batch 1 d_loss : 0.073481
batch 1 g_loss : 2.812526
batch 2 d_loss : 0.065871
batch 2 g_loss : 1.944770
Epoch is 373
Number of batches 3
batch 0 d_loss : 0.133952
batch 0 g_loss : 2.240891
batch 1 d_loss : 0.152915
batch 1 g_loss : 3.956879
batch 2 d_loss : 0.181298
batch 2 g_loss : 3.400384
Epoch is 374
Number of batches 3
batch 0 d_loss : 0.153632
batch 0 g_loss : 2.723260
batch 1 d_loss : 0.130651
batch 1 g_loss : 3.021762
batch 2 d_loss : 0.126824
batch 2 g_loss : 3.829910
Epoch is 375
Number of batches 3
batch 0 d_loss : 0.131422
batch 0 g_loss : 2.928401
batch 1 d_loss : 0.167557
batch 1 g_loss : 2.992930
batch 2 d_loss : 0.108671
batch 2 g_loss : 3.512282
Epoch is 376
Number of batches 3
batch 0 d_loss : 0.103107
batch 0 g_loss : 3.203625
batch 1 d_loss : 0.089584
batch 1 g_loss : 2.654360
batch 2 d_loss : 0.147788
batch 2 g_loss : 2.598783
Epoch is 377
Number of batches 3
batch 0 d_loss : 0.111773
batch 0 g_loss : 3.579144
batch 1 d_loss : 0.073017
batch 1 g_loss : 2.687968
batch 2 d_loss : 0.130948
batch 2 g_loss : 2.994107
Epoch is 378
Number of batches 3
batch 0 d_loss : 0.096360
batch 0 g_loss : 3.007472
batch 1 d_loss : 0.115954
batch 1 g_loss : 3.544994
batch 2 d_loss : 0.112465
batch 2 g_loss : 3.796153
Epoch is 379
Number of batches 3
batch 0 d_loss : 0.149580
batch 0 g_loss : 3.242577
batch 1 d_loss : 0.110515
batch 1 g_loss : 2.916461
batch 2 d_loss : 0.137999
batch 2 g_loss : 2.900118
Epoch is 380
Number of batches 3
batch 0 d_loss : 0.097776
batch 0 g_loss : 2.923734
batch 1 d_loss : 0.102047
batch 1 g_loss : 2.661623
batch 2 d_loss : 0.091226
batch 2 g_loss : 2.832515
Epoch is 381
Number of batches 3
batch 0 d_loss : 0.103726
batch 0 g_loss : 3.362291
batch 1 d_loss : 0.086411
batch 1 g_loss : 2.749208
batch 2 d_loss : 0.109728
batch 2 g_loss : 3.353901
Epoch is 382
Number of batches 3
batch 0 d_loss : 0.192232
batch 0 g_loss : 4.154093
batch 1 d_loss : 0.140935
batch 1 g_loss : 3.180055
batch 2 d_loss : 0.117149
batch 2 g_loss : 2.856609
Epoch is 383
Number of batches 3
batch 0 d_loss : 0.100143
batch 0 g_loss : 2.469031
batch 1 d_loss : 0.068761
batch 1 g_loss : 2.845002
batch 2 d_loss : 0.133775
batch 2 g_loss : 3.361762
Epoch is 384
Number of batches 3
batch 0 d_loss : 0.153374
batch 0 g_loss : 3.157050
batch 1 d_loss : 0.132928
batch 1 g_loss : 3.272388
batch 2 d_loss : 0.125518
batch 2 g_loss : 4.004882
Epoch is 385
Number of batches 3
batch 0 d_loss : 0.145904
batch 0 g_loss : 3.307213
batch 1 d_loss : 0.083766
batch 1 g_loss : 2.719983
batch 2 d_loss : 0.204964
batch 2 g_loss : 4.107271
Epoch is 386
Number of batches 3
batch 0 d_loss : 0.121646
batch 0 g_loss : 3.399574
batch 1 d_loss : 0.134831
batch 1 g_loss : 2.973877
batch 2 d_loss : 0.141063
batch 2 g_loss : 3.301521
Epoch is 387
Number of batches 3
batch 0 d_loss : 0.105689
batch 0 g_loss : 3.146674
batch 1 d_loss : 0.101410
batch 1 g_loss : 3.543992
batch 2 d_loss : 0.092199
batch 2 g_loss : 2.118197
Epoch is 388
Number of batches 3
batch 0 d_loss : 0.082264
batch 0 g_loss : 2.542486
batch 1 d_loss : 0.185017
batch 1 g_loss : 3.416235
batch 2 d_loss : 0.129868
batch 2 g_loss : 2.707924
Epoch is 389
Number of batches 3
batch 0 d_loss : 0.081980
batch 0 g_loss : 2.195755
batch 1 d_loss : 0.089469
batch 1 g_loss : 2.264407
batch 2 d_loss : 0.183930
batch 2 g_loss : 2.828013
Epoch is 390
Number of batches 3
batch 0 d_loss : 0.137518
batch 0 g_loss : 3.579468
batch 1 d_loss : 0.126349
batch 1 g_loss : 2.935093
batch 2 d_loss : 0.152413
batch 2 g_loss : 3.661914
Epoch is 391
Number of batches 3
batch 0 d_loss : 0.115969
batch 0 g_loss : 2.958712
batch 1 d_loss : 0.104792
batch 1 g_loss : 3.707450
batch 2 d_loss : 0.077444
batch 2 g_loss : 2.834242
Epoch is 392
Number of batches 3
batch 0 d_loss : 0.167573
batch 0 g_loss : 3.413344
batch 1 d_loss : 0.075425
batch 1 g_loss : 3.699921
batch 2 d_loss : 0.114394
batch 2 g_loss : 3.452021
Epoch is 393
Number of batches 3
batch 0 d_loss : 0.121394
batch 0 g_loss : 2.670513
batch 1 d_loss : 0.209962
batch 1 g_loss : 3.960820
batch 2 d_loss : 0.164387
batch 2 g_loss : 3.047945
Epoch is 394
Number of batches 3
batch 0 d_loss : 0.132839
batch 0 g_loss : 2.920641
batch 1 d_loss : 0.084748
batch 1 g_loss : 3.330678
batch 2 d_loss : 0.083101
batch 2 g_loss : 3.022659
Epoch is 395
Number of batches 3
batch 0 d_loss : 0.209323
batch 0 g_loss : 4.389356
batch 1 d_loss : 0.131559
batch 1 g_loss : 3.251202
batch 2 d_loss : 0.099528
batch 2 g_loss : 2.932229
Epoch is 396
Number of batches 3
batch 0 d_loss : 0.127110
batch 0 g_loss : 2.306334
batch 1 d_loss : 0.062618
batch 1 g_loss : 3.246945
batch 2 d_loss : 0.135499
batch 2 g_loss : 2.867904
Epoch is 397
Number of batches 3
batch 0 d_loss : 0.122298
batch 0 g_loss : 3.608536
batch 1 d_loss : 0.092313
batch 1 g_loss : 3.914169
batch 2 d_loss : 0.089927
batch 2 g_loss : 2.787604
Epoch is 398
Number of batches 3
batch 0 d_loss : 0.160434
batch 0 g_loss : 3.061663
batch 1 d_loss : 0.074665
batch 1 g_loss : 3.257565
batch 2 d_loss : 0.103618
batch 2 g_loss : 3.228687
Epoch is 399
Number of batches 3
batch 0 d_loss : 0.100913
batch 0 g_loss : 2.267249
batch 1 d_loss : 0.101695
batch 1 g_loss : 3.305295
batch 2 d_loss : 0.169343
batch 2 g_loss : 4.316561

In [6]:

    

generate(1)


    

    




/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:3: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(input_dim=100, units=1024)`
  This is separate from the ipykernel package so we can avoid doing imports until
/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:10: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(64, (5, 5), padding="same")`
  # Remove the CWD from sys.path while we load stuff.
/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:13: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(1, (5, 5), padding="same")`
  del sys.path[0]






    




1/1 [==============================] - 0s
(1, 1, 128, 128)

In [ ]: