/external/tensorflow/tensorflow/python/layers/ |
pooling.py | 39 pool_size: An integer or tuple/list of a single integer, 53 def __init__(self, pool_function, pool_size, strides, 58 self.pool_size = utils.normalize_tuple(pool_size, 1, 'pool_size') 70 pool_shape = (1, 1) + self.pool_size + (1,) 77 pool_shape = (1, 1, 1) + self.pool_size 95 length = utils.conv_output_length(input_shape[1], self.pool_size[0], 105 pool_size: An integer or tuple/list of a single integer, 119 def __init__(self, pool_size, strides [all...] |
/external/google-breakpad/src/client/mac/handler/ |
protected_memory_allocator.cc | 38 ProtectedMemoryAllocator::ProtectedMemoryAllocator(vm_size_t pool_size) 39 : pool_size_(pool_size), 45 pool_size,
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protected_memory_allocator.h | 49 ProtectedMemoryAllocator(vm_size_t pool_size);
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/external/tensorflow/tensorflow/contrib/gan/python/features/python/ |
random_tensor_pool_impl.py | 52 pool_size=50, 63 `pool_size` = 0 or `pooling_probability` = 0. 68 pool_size: An integer specifying the maximum size of the pool. Defaults to 80 ValueError: If `pool_size` is negative. 82 pool_size = int(pool_size) 83 if pool_size < 0: 84 raise ValueError('`pool_size` is negative.') 85 elif pool_size == 0: 95 capacity=pool_size, [all...] |
random_tensor_pool_test.py | 35 output_value = tensor_pool(input_value, pool_size=10) 47 output_value = tensor_pool(input_value, pool_size=10) 65 input_value, pool_size=10, pooling_probability=0.0) 76 pool_size = 10 80 pool_size=pool_size, 92 (not_pooled - pool_size) / (total - pool_size), 100 output_values = tensor_pool(input_values, pool_size=3)
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/external/tensorflow/tensorflow/python/keras/_impl/keras/layers/ |
pooling.py | 35 pool_size: Integer, size of the max pooling windows. 38 If None, it will default to `pool_size`. 48 def __init__(self, pool_size=2, strides=None, padding='valid', **kwargs): 50 strides = pool_size 51 super(MaxPooling1D, self).__init__(pool_size, strides, padding, **kwargs) 56 'pool_size': self.pool_size, 68 pool_size: Integer, size of the max pooling windows. 71 If None, it will default to `pool_size`. 81 def __init__(self, pool_size=2, strides=None, padding='valid', **kwargs) [all...] |
pooling_test.py | 77 pool_size = (3, 3) 85 'pool_size': pool_size 95 'pool_size': (2, 2)}, 101 'pool_size': (3, 3)}, 111 'pool_size': (2, 2), 120 pool_size = (3, 3, 3) 126 'pool_size': pool_size}, 134 'pool_size': pool_siz [all...] |
/packages/apps/LegacyCamera/jni/feature_stab/db_vlvm/ |
db_utilities_random.h | 69 Generate a random sample indexing into [0..pool_size-1]. 72 \param pool_size upper limit on item index 75 inline void db_RandomSample(int *s,int sample_size,int pool_size,int &r_seed) 81 temp=db_RandomInt(r_seed,pool_size-1-i);
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/external/ipsec-tools/src/racoon/samples/roadwarrior/server/ |
racoon.conf | 26 pool_size 255;
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/external/ipsec-tools/src/racoon/ |
privsep.c | 508 int pool_size; local 571 int pool_size; local 582 memcpy(&pool_size, bufs[2], sizeof(pool_size)); 584 if (pool_size != isakmp_cfg_config.pool_size) 585 if (isakmp_cfg_resize_pool(pool_size) != 0) 607 int pool_size; local 622 memcpy(&pool_size, bufs[1], sizeof(pool_size)); 652 int pool_size; local [all...] |
isakmp_cfg.h | 99 size_t pool_size; member in struct:isakmp_cfg_config 138 /* For pool_size */
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main.c | 216 if(isakmp_cfg_config.network4 && isakmp_cfg_config.pool_size == 0)
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/hardware/intel/common/libwsbm/src/ |
wsbm_mallocpool.c | 137 pool_size(struct _WsbmBufStorage *buf) function 179 pool->size = &pool_size;
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/external/tensorflow/tensorflow/contrib/gan/python/ |
train_test.py | 251 def get_tensor_pool_fn(pool_size): 254 return random_tensor_pool.tensor_pool(input_values, pool_size=pool_size) 259 def get_tensor_pool_fn_for_infogan(pool_size): 264 [generated_data] + generator_inputs, pool_size=pool_size) 513 pool_size): 517 for i in range(2 * pool_size): 520 if i < pool_size: 521 # For [0, pool_size), the pool is not full, tensor1 should be equa [all...] |
/external/gemmlowp/test/ |
benchmark.cc | 76 const std::size_t pool_size = 1 + min_working_set_size / combined_gemm_sizes; local 78 std::vector<LhsType> lhs(pool_size * gemms.size()); 79 std::vector<RhsType> rhs(pool_size * gemms.size()); 80 std::vector<ResultType> result(pool_size * gemms.size()); 82 for (std::size_t i = 0; i < pool_size; i++) { 110 if (pool_index == pool_size) {
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correctness_meta_gemm.cc | 178 gemmlowp::WorkersPool* pool, std::int32_t pool_size) { 183 gemmlowp::meta::multi_thread_gemm_q8(pool, pool_size, scratch, lhs, rhs, m, n, 190 gemmlowp::WorkersPool* pool, std::int32_t pool_size) { 196 gemmlowp::meta::multi_thread_gemm_f(pool, pool_size, scratch, lhs, rhs, m, n, 204 std::int32_t pool_size) { 209 gemmlowp::meta::multi_thread_gemm_i32(pool, pool_size, scratch, lhs, rhs, m,
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/external/tensorflow/tensorflow/core/kernels/ |
avgpooling_op_gpu.cu.cc | 73 int pool_size = (hend - hstart) * (wend - wstart); local 75 dtype(pool_size);
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/external/tensorflow/tensorflow/examples/learn/ |
mnist.py | 47 h_conv1, pool_size=2, strides=2, padding='same') 58 h_conv2, pool_size=2, strides=2, padding='same')
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text_classification_cnn.py | 63 pool_size=POOLING_WINDOW,
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/external/tensorflow/tensorflow/examples/tutorials/layers/ |
cnn_mnist.py | 49 pool1 = tf.layers.max_pooling2d(inputs=conv1, pool_size=[2, 2], strides=2) 67 pool2 = tf.layers.max_pooling2d(inputs=conv2, pool_size=[2, 2], strides=2)
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/external/autotest/site_utils/ |
lxc_pool_service.py | 68 service.start(pool_size=args.size)
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/external/autotest/scheduler/ |
drone_utility.py | 476 pool_size = max( 479 self._pool = multiprocessing.Pool(pool_size) 481 pool_size = 0 483 len(pidfile_paths), pool_size)
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/external/freetype/include/freetype/ |
ftimage.h | [all...] |
/prebuilts/misc/darwin-x86_64/freetype/include/freetype2/ |
ftimage.h | [all...] |
/system/nfc/src/gki/common/ |
gki_common.h | 248 uint16_t pool_size member in struct:__anon3238
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