ResourceExhaustedError problem in fit_generator.

Hello,
I use fit_generator to avoid OOM, but there is still ResourceExhaustedError problem when using fit_generator.
The generator is below:
def crop_one_img(img, label, strip=256):
    samples = []
    sample_labels = []
    loc_0 = 0
    while loc_0 < label.shape[0]:
        loc_1 = 0
        if loc_0 + strip < label.shape[0]:
            while loc_1 < label.shape[1]:
                if loc_1 + strip < label.shape[1]:
                    samples.append(img[loc_0: loc_0 + strip, loc_1: loc_1 + strip, :])
                    sample_labels.append(label[loc_0: loc_0 + strip, loc_1: loc_1 + strip])
                else:
                    samples.append(img[loc_0: loc_0 + strip, -strip:, :])
                    sample_labels.append(label[loc_0: loc_0 + strip, -strip:])
                loc_1 += strip

        else:
            while loc_1 < label.shape[1]:
                if loc_1 + strip < label.shape[1]:
                    samples.append(img[-strip:, loc_1: loc_1 + strip, :])
                    sample_labels.append(label[-strip:, loc_1: loc_1 + strip])
                else:
                    samples.append(img[-strip:, -strip:, :])
                    sample_labels.append(label[-strip:, -strip:])
                loc_1 += strip

        loc_0 += strip

    return samples, sample_labels

def get_img(imgnames):
    SAMPLES = []
    SAMPLE_LABELS = []
    for imgname in imgnames:
        img = np.asarray(Image.open('./data/all/%s/img.png' % (imgname)), dtype='float16')  # 默认64位
        lbl = np.asarray(Image.open('./data/all/%s/label.png' % (imgname)))
        if img.shape[0] > img.shape[1]:
            img = np.transpose(img, (1, 0, 2))
            lbl = np.transpose(lbl)
        img = img / 255.0

        with open('./data/all/%s/label_names.txt' % imgname) as f:
            names = f.readlines()
            names = [i.strip() for i in names]

        label = np.zeros((lbl.shape[0], lbl.shape[1]))
        for na, la in zip(names, range(len(names))):
            if la > 0:
                label[lbl == la] = labelme_dic[na]

        samples, sample_labels = crop_one_img(img, label)
        SAMPLES.extend(samples)
        SAMPLE_LABELS.extend(sample_labels)

    return np.asarray(SAMPLES, dtype='float16'), to_categorical(np.asarray(SAMPLE_LABELS, dtype='float16'))

def get_train_batch(train_data_names, batch_size=5):
    while 1:
        for i in range(0, len(train_data_names), batch_size):
            X_train, Y_train = get_img(train_data_names[i:i+batch_size])
            yield (X_train, Y_train)

The training code is below:
# model arch..
model = Model(img_input, x)
model.compile(optimizer=Adam(lr=lr_init, decay=lr_decay),
              loss='categorical_crossentropy',
              metrics=['acc'])

all_data_files = os.listdir('./data/all')
random.seed(1)
random.shuffle(all_data_files)

X_test, Y_test = get_img(all_data_files[150:170])
print(X_test.shape)

history = model.fit_generator(generator=get_train_batch(all_data_files[0:150]),
                              validation_data=[X_test, Y_test],
                              epochs=10,
                              verbose=1,
                              steps_per_epoch=31)

The results is below:
/usr/bin/python3.6 /home/ming/PycharmProjects/XZBYJ/build_model.py
2019-09-30 08:59:29.403826: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
2019-09-30 08:59:29.415327: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
2019-09-30 08:59:29.546937: I tensorflow/compiler/xla/service/service.cc:162] XLA service 0x3e00f30 executing computations on platform CUDA. Devices:
2019-09-30 08:59:29.546959: I tensorflow/compiler/xla/service/service.cc:169]   StreamExecutor device (0): TITAN Xp, Compute Capability 6.1
2019-09-30 08:59:29.568352: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency:<PHONE_NUMBER> Hz
2019-09-30 08:59:29.569472: I tensorflow/compiler/xla/service/service.cc:162] XLA service 0x3a71140 executing computations on platform Host. Devices:
2019-09-30 08:59:29.569504: I tensorflow/compiler/xla/service/service.cc:169]   StreamExecutor device (0): ,
2019-09-30 08:59:29.569974: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1467] Found device 0 with properties:
name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
pciBusID: 0000:65:00.0
totalMemory: 11.91GiB freeMemory: 11.36GiB
2019-09-30 08:59:29.570004: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1546] Adding visible gpu devices: 0
2019-09-30 08:59:29.570089: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
2019-09-30 08:59:29.571314: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1015] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-09-30 08:59:29.571334: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1021]      0
2019-09-30 08:59:29.571347: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1034] 0:   N
2019-09-30 08:59:29.571731: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1149] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11049 MB memory) -> physical GPU (device: 0, name: TITAN Xp, pci bus id: 0000:65:00.0, compute capability: 6.1)
(1252, 256, 256, 3)
Epoch 1/10
2019-09-30 08:59:48.250325: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
2019-09-30 08:59:59.975613: W tensorflow/core/common_runtime/bfc_allocator.cc:288] Allocator (GPU_0_bfc) ran out of memory trying to allocate 4.61GiB.  Current allocation summary follows.
2019-09-30 08:59:59.975706: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (256): 	Total Chunks: 523, Chunks in use: 523. 130.8KiB allocated for chunks. 130.8KiB in use in bin. 8.6KiB client-requested in use in bin.
2019-09-30 08:59:59.975731: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (512): 	Total Chunks: 22, Chunks in use: 22. 11.0KiB allocated for chunks. 11.0KiB in use in bin. 11.0KiB client-requested in use in bin.
2019-09-30 08:59:59.975746: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (1024): 	Total Chunks: 34, Chunks in use: 34. 34.2KiB allocated for chunks. 34.2KiB in use in bin. 34.0KiB client-requested in use in bin.
2019-09-30 08:59:59.975761: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (2048): 	Total Chunks: 66, Chunks in use: 66. 132.2KiB allocated for chunks. 132.2KiB in use in bin. 132.0KiB client-requested in use in bin.
2019-09-30 08:59:59.975775: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (4096): 	Total Chunks: 2, Chunks in use: 2. 13.5KiB allocated for chunks. 13.5KiB in use in bin. 13.5KiB client-requested in use in bin.
2019-09-30 08:59:59.975789: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (8192): 	Total Chunks: 4, Chunks in use: 4. 35.8KiB allocated for chunks. 35.8KiB in use in bin. 30.8KiB client-requested in use in bin.
2019-09-30 08:59:59.975803: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (16384): 	Total Chunks: 25, Chunks in use: 25. 400.0KiB allocated for chunks. 400.0KiB in use in bin. 400.0KiB client-requested in use in bin.
2019-09-30 08:59:59.975816: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (32768): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2019-09-30 08:59:59.975827: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (65536): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2019-09-30 08:59:59.975841: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (131072): 	Total Chunks: 5, Chunks in use: 5. 672.0KiB allocated for chunks. 672.0KiB in use in bin. 672.0KiB client-requested in use in bin.
2019-09-30 08:59:59.975855: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (262144): 	Total Chunks: 4, Chunks in use: 4. 1.11MiB allocated for chunks. 1.11MiB in use in bin. 1008.0KiB client-requested in use in bin.
2019-09-30 08:59:59.975868: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (524288): 	Total Chunks: 3, Chunks in use: 3. 1.84MiB allocated for chunks. 1.84MiB in use in bin. 1.69MiB client-requested in use in bin.
2019-09-30 08:59:59.975880: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (1048576): 	Total Chunks: 3, Chunks in use: 3. 3.38MiB allocated for chunks. 3.38MiB in use in bin. 3.38MiB client-requested in use in bin.
2019-09-30 08:59:59.975894: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (2097152): 	Total Chunks: 6, Chunks in use: 6. 13.50MiB allocated for chunks. 13.50MiB in use in bin. 13.50MiB client-requested in use in bin.
2019-09-30 08:59:59.975907: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (4194304): 	Total Chunks: 3, Chunks in use: 3. 13.50MiB allocated for chunks. 13.50MiB in use in bin. 13.50MiB client-requested in use in bin.
2019-09-30 08:59:59.975921: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (8388608): 	Total Chunks: 15, Chunks in use: 15. 135.00MiB allocated for chunks. 135.00MiB in use in bin. 135.00MiB client-requested in use in bin.
2019-09-30 08:59:59.975932: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (16777216): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2019-09-30 08:59:59.975944: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (33554432): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2019-09-30 08:59:59.975960: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (67108864): 	Total Chunks: 4, Chunks in use: 3. 308.22MiB allocated for chunks. 228.94MiB in use in bin. 192.00MiB client-requested in use in bin.
2019-09-30 08:59:59.975975: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (134217728): 	Total Chunks: 3, Chunks in use: 2. 590.00MiB allocated for chunks. 368.75MiB in use in bin. 368.75MiB client-requested in use in bin.
2019-09-30 08:59:59.975987: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (268435456): 	Total Chunks: 6, Chunks in use: 5. 9.75GiB allocated for chunks. 6.33GiB in use in bin. 6.33GiB client-requested in use in bin.
2019-09-30 08:59:59.976000: I tensorflow/core/common_runtime/bfc_allocator.cc:649] Bin for 4.61GiB was 256.00MiB, Chunk State:
2019-09-30 08:59:59.976018: I tensorflow/core/common_runtime/bfc_allocator.cc:655]   Size: 3.41GiB | Requested Size: 1.94GiB | in_use: 0, prev:   Size: 4.61GiB | Requested Size: 4.61GiB | in_use: 1
2019-09-30 08:59:59.976033: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314000000 of size 1280
2019-09-30 08:59:59.976044: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314000500 of size 256
2019-09-30 08:59:59.976094: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314000600 of size 256
2019-09-30 08:59:59.976104: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314000700 of size 256
2019-09-30 08:59:59.976114: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314000800 of size 256
2019-09-30 08:59:59.976123: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314000900 of size 256
2019-09-30 08:59:59.976132: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314000a00 of size 256
2019-09-30 08:59:59.976142: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314000b00 of size 256
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2019-09-30 08:59:59.976179: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314000f00 of size 256
2019-09-30 08:59:59.976189: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314001000 of size 512
2019-09-30 08:59:59.976198: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314001200 of size 512
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2019-09-30 08:59:59.976245: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314001c00 of size 512
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2019-09-30 08:59:59.976263: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314002000 of size 512
2019-09-30 08:59:59.976273: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314002200 of size 512
2019-09-30 08:59:59.976282: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314002400 of size 1024
2019-09-30 08:59:59.976292: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314002800 of size 1024
2019-09-30 08:59:59.976301: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314002c00 of size 1024
2019-09-30 08:59:59.976311: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314003000 of size 1024
2019-09-30 08:59:59.976320: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314003400 of size 1024
2019-09-30 08:59:59.976330: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314003800 of size 1024
2019-09-30 08:59:59.976339: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314003c00 of size 6912
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2019-09-30 08:59:59.976433: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc314007b00 of size 2048
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2019-09-30 08:59:59.986633: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a8900 of size 256
2019-09-30 08:59:59.986648: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a8a00 of size 256
2019-09-30 08:59:59.986664: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a8b00 of size 256
2019-09-30 08:59:59.986681: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a8c00 of size 256
2019-09-30 08:59:59.986697: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a8d00 of size 256
2019-09-30 08:59:59.986712: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a8e00 of size 256
2019-09-30 08:59:59.986727: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a8f00 of size 256
2019-09-30 08:59:59.986743: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a9000 of size 256
2019-09-30 08:59:59.986759: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a9100 of size 256
2019-09-30 08:59:59.986776: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a9200 of size 256
2019-09-30 08:59:59.986791: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a9300 of size 256
2019-09-30 08:59:59.986807: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a9400 of size 256
2019-09-30 08:59:59.986823: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3456a9500 of size 256
2019-09-30 08:59:59.986840: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Free  at 0x7fc3456a9600 of size 83132672
2019-09-30 08:59:59.986858: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc34a5f1700 of size 411041792
2019-09-30 08:59:59.986873: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc362df1700 of size 411041792
2019-09-30 08:59:59.986889: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Free  at 0x7fc37b5f1700 of size 231997440
2019-09-30 08:59:59.986906: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc389331700 of size 618659840
2019-09-30 08:59:59.986925: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3ae131700 of size 231997440
2019-09-30 08:59:59.986942: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3bbe71700 of size 154664960
2019-09-30 08:59:59.986957: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7fc3c51f1700 of size<PHONE_NUMBER>
2019-09-30 08:59:59.986973: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Free  at 0x7fc4ec1f1700 of size<PHONE_NUMBER>
2019-09-30 08:59:59.986988: I tensorflow/core/common_runtime/bfc_allocator.cc:677]      Summary of in-use Chunks by size:
2019-09-30 08:59:59.987017: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 523 Chunks of size 256 totalling 130.8KiB
2019-09-30 08:59:59.987036: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 22 Chunks of size 512 totalling 11.0KiB
2019-09-30 08:59:59.987054: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 33 Chunks of size 1024 totalling 33.0KiB
2019-09-30 08:59:59.987072: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 1 Chunks of size 1280 totalling 1.2KiB
2019-09-30 08:59:59.987092: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 65 Chunks of size 2048 totalling 130.0KiB
2019-09-30 08:59:59.987110: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 1 Chunks of size 2304 totalling 2.2KiB
2019-09-30 08:59:59.987127: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 2 Chunks of size 6912 totalling 13.5KiB
2019-09-30 08:59:59.987145: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 3 Chunks of size 8192 totalling 24.0KiB
2019-09-30 08:59:59.987165: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 1 Chunks of size 12032 totalling 11.8KiB
2019-09-30 08:59:59.987183: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 25 Chunks of size 16384 totalling 400.0KiB
2019-09-30 08:59:59.987203: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 3 Chunks of size 131072 totalling 384.0KiB
2019-09-30 08:59:59.987222: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 2 Chunks of size 147456 totalling 288.0KiB
2019-09-30 08:59:59.987239: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 1 Chunks of size 278528 totalling 272.0KiB
2019-09-30 08:59:59.987260: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 3 Chunks of size 294912 totalling 864.0KiB
2019-09-30 08:59:59.987279: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 2 Chunks of size 589824 totalling 1.12MiB
2019-09-30 08:59:59.987297: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 1 Chunks of size 753664 totalling 736.0KiB
2019-09-30 08:59:59.987315: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 3 Chunks of size 1179648 totalling 3.38MiB
2019-09-30 08:59:59.987334: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 6 Chunks of size 2359296 totalling 13.50MiB
2019-09-30 08:59:59.987351: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 3 Chunks of size 4718592 totalling 13.50MiB
2019-09-30 08:59:59.987371: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 15 Chunks of size 9437184 totalling 135.00MiB
2019-09-30 08:59:59.987390: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 2 Chunks of size 67108864 totalling 128.00MiB
2019-09-30 08:59:59.987408: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 1 Chunks of size 105840640 totalling 100.94MiB
2019-09-30 08:59:59.987428: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 1 Chunks of size 154664960 totalling 147.50MiB
2019-09-30 08:59:59.987447: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 1 Chunks of size 231997440 totalling 221.25MiB
2019-09-30 08:59:59.987464: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 3 Chunks of size 411041792 totalling 1.15GiB
2019-09-30 08:59:59.987485: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 1 Chunks of size 618659840 totalling 590.00MiB
2019-09-30 08:59:59.987503: I tensorflow/core/common_runtime/bfc_allocator.cc:680] 1 Chunks of size<PHONE_NUMBER> totalling 4.61GiB
2019-09-30 08:59:59.987521: I tensorflow/core/common_runtime/bfc_allocator.cc:684] Sum Total of in-use chunks: 7.08GiB
2019-09-30 08:59:59.987544: I tensorflow/core/common_runtime/bfc_allocator.cc:686] Stats:
Limit:<PHONE_NUMBER>8
InUse:<PHONE_NUMBER>
MaxInUse:<PHONE_NUMBER>
NumAllocs:                    1202
MaxAllocSize:<PHONE_NUMBER>
2019-09-30 08:59:59.987663: W tensorflow/core/common_runtime/bfc_allocator.cc:292] _**************************************_______________________________
2019-09-30 08:59:59.988498: W tensorflow/core/framework/op_kernel.cc:1431] OP_REQUIRES failed at fused_batch_norm_op.cc:573 : Resource exhausted: OOM when allocating tensor with shape[295,64,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
2019-09-30 08:59:59.988585: W tensorflow/core/common_runtime/base_collective_executor.cc:214] BaseCollectiveExecutor::StartAbort Resource exhausted: OOM when allocating tensor with shape[295,64,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node batch_normalization_v2/cond/then/_0/FusedBatchNorm}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
 [[GroupCrossDeviceControlEdges_0/training/Adam/Adam/Const/_343]]

Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
2019-09-30 08:59:59.988700: E tensorflow/core/common_runtime/process_function_library_runtime.cc:764] Component function execution failed: Resource exhausted: OOM when allocating tensor with shape[295,64,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node batch_normalization_v2/cond/then/_0/FusedBatchNorm}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
 [[GroupCrossDeviceControlEdges_0/training/Adam/Adam/Const/_343]]

Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
2019-09-30 08:59:59.988750: W tensorflow/core/common_runtime/base_collective_executor.cc:214] BaseCollectiveExecutor::StartAbort Resource exhausted: OOM when allocating tensor with shape[295,64,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node batch_normalization_v2/cond/then/_0/FusedBatchNorm}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
2019-09-30 08:59:59.989224: E tensorflow/core/common_runtime/process_function_library_runtime.cc:764] Component function execution failed: Resource exhausted: OOM when allocating tensor with shape[295,64,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node batch_normalization_v2/cond/then/_0/FusedBatchNorm}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
Traceback (most recent call last):
File "/home/ming/PycharmProjects/XZBYJ/build_model.py", line 154, in
steps_per_epoch=31)
File "/home/ming/.local/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 1515, in fit_generator
steps_name='steps_per_epoch')
File "/home/ming/.local/lib/python3.6/site-packages/tensorflow/python/keras/engine/training_generator.py", line 257, in model_iteration
batch_outs = batch_function(*batch_data)
File "/home/ming/.local/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 1259, in train_on_batch
outputs = self._fit_function(ins)  # pylint: disable=not-callable
File "/home/ming/.local/lib/python3.6/site-packages/tensorflow/python/keras/backend.py", line 3217, in call
outputs = self._graph_fn(*converted_inputs)
File "/home/ming/.local/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 558, in call
return self._call_flat(args)
File "/home/ming/.local/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 627, in _call_flat
outputs = self._inference_function.call(ctx, args)
File "/home/ming/.local/lib/python3.6/site-packages/tensorflow/python/eager/function.py", line 415, in call
ctx=ctx)
File "/home/ming/.local/lib/python3.6/site-packages/tensorflow/python/eager/execute.py", line 66, in quick_execute
six.raise_from(core._status_to_exception(e.code, message), None)
File "", line 3, in raise_from
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[295,64,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node batch_normalization_v2/cond/then/_0/FusedBatchNorm}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
 [[GroupCrossDeviceControlEdges_0/training/Adam/Adam/Const/_343]]

Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
[Op:__inference_keras_scratch_graph_11254]
Process finished with exit code 1
How to solve this problem?
Thanks!

Besides, it is working when using part of my data (larger then the batch size in fit_generator) with fit, so I thought the ResourceExhaustedError should not appear here.

The shape of X_test is (1252, 256, 256, 3)? So, the shape of input each step is different? Maybe the input shape of the last few steps is too large, then OOM happens?

In the generator function, i added a print line.
def get_train_batch(train_data_names, batch_size=5):
    while 1:
        for i in range(0, len(train_data_names), batch_size):
            X_train, Y_train = get_img(train_data_names[i:i+batch_size])
            **print(i, X_train.shape)**
            yield (X_train, Y_train)

then, I found the ResourceExhaustedError problem appeared after several batches.
the result is below:
/usr/bin/python3.6 /home/ming/PycharmProjects/XZBYJ/build_model.py
2019-10-08 09:20:04.699243: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
2019-10-08 09:20:04.710142: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
2019-10-08 09:20:04.823744: I tensorflow/compiler/xla/service/service.cc:162] XLA service 0x4f30d90 executing computations on platform CUDA. Devices:
2019-10-08 09:20:04.823791: I tensorflow/compiler/xla/service/service.cc:169]   StreamExecutor device (0): TITAN Xp, Compute Capability 6.1
2019-10-08 09:20:04.845847: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency:<PHONE_NUMBER> Hz
2019-10-08 09:20:04.847039: I tensorflow/compiler/xla/service/service.cc:162] XLA service 0x4bc1f80 executing computations on platform Host. Devices:
2019-10-08 09:20:04.847078: I tensorflow/compiler/xla/service/service.cc:169]   StreamExecutor device (0): ,
2019-10-08 09:20:04.847653: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1467] Found device 0 with properties:
name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
pciBusID: 0000:65:00.0
totalMemory: 11.91GiB freeMemory: 11.42GiB
2019-10-08 09:20:04.847681: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1546] Adding visible gpu devices: 0
2019-10-08 09:20:04.847758: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
2019-10-08 09:20:04.849101: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1015] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-10-08 09:20:04.849123: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1021]      0
2019-10-08 09:20:04.849136: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1034] 0:   N
2019-10-08 09:20:04.849667: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1149] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11110 MB memory) -> physical GPU (device: 0, name: TITAN Xp, pci bus id: 0000:65:00.0, compute capability: 6.1)
(585, 256, 256, 3)
Epoch 1/10
0 (295, 256, 256, 3)
5 (263, 256, 256, 3)
10 (295, 256, 256, 3)
2019-10-08 09:20:21.960590: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
15 (281, 256, 256, 3)
20 (371, 256, 256, 3)
25 (313, 256, 256, 3)
2019-10-08 09:20:32.700031: W tensorflow/core/common_runtime/bfc_allocator.cc:288] Allocator (GPU_0_bfc) ran out of memory trying to allocate 4.61GiB.  Current allocation summary follows.
2019-10-08 09:20:32.700121: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (256): 	Total Chunks: 506, Chunks in use: 506. 126.5KiB allocated for chunks. 126.5KiB in use in bin. 8.6KiB client-requested in use in bin.
2019-10-08 09:20:32.700143: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (512): 	Total Chunks: 22, Chunks in use: 22. 11.0KiB allocated for chunks. 11.0KiB in use in bin. 11.0KiB client-requested in use in bin.
2019-10-08 09:20:32.700159: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (1024): 	Total Chunks: 34, Chunks in use: 34. 34.2KiB allocated for chunks. 34.2KiB in use in bin. 34.0KiB client-requested in use in bin.
2019-10-08 09:20:32.700174: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (2048): 	Total Chunks: 66, Chunks in use: 66. 132.2KiB allocated for chunks. 132.2KiB in use in bin. 132.0KiB client-requested in use in bin.
2019-10-08 09:20:32.700188: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (4096): 	Total Chunks: 2, Chunks in use: 2. 13.5KiB allocated for chunks. 13.5KiB in use in bin. 13.5KiB client-requested in use in bin.
2019-10-08 09:20:32.700202: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (8192): 	Total Chunks: 4, Chunks in use: 4. 35.8KiB allocated for chunks. 35.8KiB in use in bin. 30.8KiB client-requested in use in bin.
2019-10-08 09:20:32.700216: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (16384): 	Total Chunks: 25, Chunks in use: 25. 400.0KiB allocated for chunks. 400.0KiB in use in bin. 400.0KiB client-requested in use in bin.
2019-10-08 09:20:32.700228: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (32768): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2019-10-08 09:20:32.700240: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (65536): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2019-10-08 09:20:32.700254: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (131072): 	Total Chunks: 5, Chunks in use: 5. 672.0KiB allocated for chunks. 672.0KiB in use in bin. 672.0KiB client-requested in use in bin.
2019-10-08 09:20:32.700267: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (262144): 	Total Chunks: 4, Chunks in use: 4. 1.11MiB allocated for chunks. 1.11MiB in use in bin. 1008.0KiB client-requested in use in bin.
2019-10-08 09:20:32.700280: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (524288): 	Total Chunks: 3, Chunks in use: 3. 1.84MiB allocated for chunks. 1.84MiB in use in bin. 1.69MiB client-requested in use in bin.
2019-10-08 09:20:32.700292: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (1048576): 	Total Chunks: 3, Chunks in use: 3. 3.38MiB allocated for chunks. 3.38MiB in use in bin. 3.38MiB client-requested in use in bin.
2019-10-08 09:20:32.700306: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (2097152): 	Total Chunks: 6, Chunks in use: 6. 13.50MiB allocated for chunks. 13.50MiB in use in bin. 13.50MiB client-requested in use in bin.
2019-10-08 09:20:32.700319: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (4194304): 	Total Chunks: 3, Chunks in use: 3. 13.50MiB allocated for chunks. 13.50MiB in use in bin. 13.50MiB client-requested in use in bin.
2019-10-08 09:20:32.700333: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (8388608): 	Total Chunks: 15, Chunks in use: 15. 135.00MiB allocated for chunks. 135.00MiB in use in bin. 135.00MiB client-requested in use in bin.
2019-10-08 09:20:32.700345: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (16777216): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2019-10-08 09:20:32.700356: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (33554432): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2019-10-08 09:20:32.700372: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (67108864): 	Total Chunks: 4, Chunks in use: 3. 308.22MiB allocated for chunks. 228.94MiB in use in bin. 192.00MiB client-requested in use in bin.
2019-10-08 09:20:32.700387: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (134217728): 	Total Chunks: 3, Chunks in use: 2. 590.00MiB allocated for chunks. 368.75MiB in use in bin. 368.75MiB client-requested in use in bin.
2019-10-08 09:20:32.700400: I tensorflow/core/common_runtime/bfc_allocator.cc:633] Bin (268435456): 	Total Chunks: 6, Chunks in use: 5. 9.81GiB allocated for chunks. 6.33GiB in use in bin. 6.33GiB client-requested in use in bin.
2019-10-08 09:20:32.700412: I tensorflow/core/common_runtime/bfc_allocator.cc:649] Bin for 4.61GiB was 256.00MiB, Chunk State:
2019-10-08 09:20:32.700431: I tensorflow/core/common_runtime/bfc_allocator.cc:655]   Size: 3.47GiB | Requested Size: 1.94GiB | in_use: 0, prev:   Size: 4.61GiB | Requested Size: 4.61GiB | in_use: 1
2019-10-08 09:20:32.700446: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7f77d0000000 of size 1280
2019-10-08 09:20:32.700456: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7f77d0000500 of size 256
2019-10-08 09:20:32.700465: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7f77d0000600 of size 256
2019-10-08 09:20:32.700474: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7f77d0000700 of size 256
2019-10-08 09:20:32.700483: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7f77d0000800 of size 256
2019-10-08 09:20:32.700492: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7f77d0000900 of size 256
2019-10-08 09:20:32.700501: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7f77d0000a00 of size 256
2019-10-08 09:20:32.700511: I tensorflow/core/common_runtime/bfc_allocator.cc:668] Chunk at 0x7f77d0000b00 of size 256
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