/external/tensorflow/tensorflow/python/layers/ |
D | pooling.py | 53 def __init__(self, pool_function, pool_size, strides, argument 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], 119 def __init__(self, pool_size, strides, argument 124 pool_size=pool_size, 133 def average_pooling1d(inputs, pool_size, strides, argument 159 layer = AveragePooling1D(pool_size=pool_size, 186 def __init__(self, pool_size, strides, argument [all …]
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/external/tensorflow/tensorflow/python/keras/_impl/keras/layers/ |
D | pooling.py | 48 def __init__(self, pool_size=2, strides=None, padding='valid', **kwargs): argument 50 strides = pool_size 51 super(MaxPooling1D, self).__init__(pool_size, strides, padding, **kwargs) 56 'pool_size': self.pool_size, 81 def __init__(self, pool_size=2, strides=None, padding='valid', **kwargs): argument 83 strides = pool_size 84 super(AveragePooling1D, self).__init__(pool_size, strides, padding, 90 'pool_size': self.pool_size, 140 pool_size=(2, 2), argument 148 strides = pool_size [all …]
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D | pooling_test.py | 77 pool_size = (3, 3) 85 'pool_size': pool_size 120 pool_size = (3, 3, 3) 126 'pool_size': pool_size}, 134 'pool_size': pool_size 139 pool_size = (3, 3, 3) 145 'pool_size': pool_size}, 153 'pool_size': pool_size
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/external/tensorflow/tensorflow/contrib/gan/python/features/python/ |
D | 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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D | random_tensor_pool_impl.py | 52 pool_size=50, argument 82 pool_size = int(pool_size) 83 if pool_size < 0: 85 elif pool_size == 0: 95 capacity=pool_size, 128 pool_queue.size() < pool_size, _get_input_value_pooled,
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/external/ipsec-tools/src/racoon/ |
D | privsep.c | 508 int pool_size; in privsep_init() local 571 int pool_size; in privsep_init() local 582 memcpy(&pool_size, bufs[2], sizeof(pool_size)); in privsep_init() 584 if (pool_size != isakmp_cfg_config.pool_size) in privsep_init() 585 if (isakmp_cfg_resize_pool(pool_size) != 0) in privsep_init() 607 int pool_size; in privsep_init() local 622 memcpy(&pool_size, bufs[1], sizeof(pool_size)); in privsep_init() 628 if (pool_size != isakmp_cfg_config.pool_size) in privsep_init() 629 if (isakmp_cfg_resize_pool(pool_size) != 0) in privsep_init() 652 int pool_size; in privsep_init() local [all …]
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D | isakmp_cfg.c | 1347 size_t size = isakmp_cfg_config.pool_size; 2082 if (size == isakmp_cfg_config.pool_size) 2087 isakmp_cfg_config.pool_size, size); 2091 (size < isakmp_cfg_config.pool_size)) { 2092 for (i = isakmp_cfg_config.pool_size-1; i >= size; --i) { 2097 isakmp_cfg_config.pool_size, size, i); 2109 isakmp_cfg_config.pool_size, size, strerror(errno)); 2114 if (size > isakmp_cfg_config.pool_size) { 2119 old_size = isakmp_cfg_config.pool_size; 2126 isakmp_cfg_config.pool_size = size; [all …]
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D | isakmp_cfg.h | 99 size_t pool_size; member
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/external/tensorflow/tensorflow/contrib/gan/python/ |
D | train_test.py | 251 def get_tensor_pool_fn(pool_size): argument 254 return random_tensor_pool.tensor_pool(input_values, pool_size=pool_size) 259 def get_tensor_pool_fn_for_infogan(pool_size): argument 264 [generated_data] + generator_inputs, pool_size=pool_size) 513 pool_size): argument 517 for i in range(2 * pool_size): 520 if i < pool_size: 540 pool_size = 5 542 model, get_tensor_pool_fn(pool_size=pool_size)) 548 pool_size) [all …]
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/external/google-breakpad/src/client/mac/handler/ |
D | protected_memory_allocator.cc | 38 ProtectedMemoryAllocator::ProtectedMemoryAllocator(vm_size_t pool_size) in ProtectedMemoryAllocator() argument 39 : pool_size_(pool_size), in ProtectedMemoryAllocator() 45 pool_size, in ProtectedMemoryAllocator()
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D | protected_memory_allocator.h | 49 ProtectedMemoryAllocator(vm_size_t pool_size);
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/external/gemmlowp/test/ |
D | benchmark.cc | 76 const std::size_t pool_size = 1 + min_working_set_size / combined_gemm_sizes; in time_for_gemms() local 78 std::vector<LhsType> lhs(pool_size * gemms.size()); in time_for_gemms() 79 std::vector<RhsType> rhs(pool_size * gemms.size()); in time_for_gemms() 80 std::vector<ResultType> result(pool_size * gemms.size()); in time_for_gemms() 82 for (std::size_t i = 0; i < pool_size; i++) { in time_for_gemms() 110 if (pool_index == pool_size) { in time_for_gemms()
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D | correctness_meta_gemm.cc | 178 gemmlowp::WorkersPool* pool, std::int32_t pool_size) { in test() argument 183 gemmlowp::meta::multi_thread_gemm_q8(pool, pool_size, scratch, lhs, rhs, m, n, in test() 190 gemmlowp::WorkersPool* pool, std::int32_t pool_size) { in test_f() argument 196 gemmlowp::meta::multi_thread_gemm_f(pool, pool_size, scratch, lhs, rhs, m, n, in test_f() 204 std::int32_t pool_size) { in test_i32() argument 209 gemmlowp::meta::multi_thread_gemm_i32(pool, pool_size, scratch, lhs, rhs, m, in test_i32()
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/external/tensorflow/tensorflow/tools/api/golden/ |
D | tensorflow.layers.pbtxt | 85 …argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], v… 89 …argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], v… 93 …argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], v… 133 …argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], v… 137 …argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], v… 141 …argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], v…
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/external/tensorflow/tensorflow/core/kernels/ |
D | avgpooling_op_gpu.cu.cc | 73 int pool_size = (hend - hstart) * (wend - wstart); in DEFINE_GPU_KERNELS() local 75 dtype(pool_size); in DEFINE_GPU_KERNELS()
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/external/tensorflow/tensorflow/examples/tutorials/layers/ |
D | 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/tensorflow/tensorflow/examples/learn/ |
D | 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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/external/valgrind/docs/ |
D | README | 161 fixed by editing /etc/texmf/texmf.cnf and changing pool_size to 210 pool_size.pdfxmltex = 500000 212 pool_size.pdfxmltex = 1500000 238 pool_size.pdfxmltex = 500000 240 pool_size.pdfxmltex = 1500000
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/external/autotest/scheduler/ |
D | 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/ipsec-tools/src/racoon/samples/roadwarrior/server/ |
D | racoon.conf | 26 pool_size 255;
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D | racoon.conf-radius | 25 pool_size 255;
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/external/autotest/site_utils/lxc/container_pool/ |
D | service.py | 73 def start(self, pool_size=constants.DEFAULT_CONTAINER_POOL_SIZE): argument 87 self._pool = pool.Pool(factory=factory, size=pool_size)
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/external/tensorflow/tensorflow/python/keras/_impl/keras/ |
D | backend.py | 4010 pool_size, argument 4042 pool_size = (1,) + pool_size + (1,) 4045 pool_size = (1, 1) + pool_size 4049 x, pool_size, strides, padding=padding, data_format=tf_data_format) 4052 x, pool_size, strides, padding=padding, data_format=tf_data_format) 4063 pool_size, argument 4095 pool_size = (1,) + pool_size + (1,) 4098 pool_size = (1, 1) + pool_size 4102 x, pool_size, strides, padding=padding, data_format=tf_data_format) 4105 x, pool_size, strides, padding=padding, data_format=tf_data_format)
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/external/fio/ |
D | smalloc.c | 65 unsigned int pool_size = pool->nr_blocks * SMALLOC_BPL; in ptr_valid() local 67 return (ptr >= pool->map) && (ptr < pool->map + pool_size); in ptr_valid()
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/external/autotest/site_utils/ |
D | lxc_pool_service.py | 68 service.start(pool_size=args.size)
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