/external/tensorflow/tensorflow/python/data/kernel_tests/ |
H A D | interleave_dataset_op_test.py | 33 def _interleave(self, lists, cycle_length, block_length): 42 for i in range(cycle_length): 50 for i in range(cycle_length): 102 cycle_length = array_ops.placeholder(dtypes.int64, shape=[]) 111 cycle_length, block_length)) 119 cycle_length: 1, block_length: 3}) 129 cycle_length: 2, block_length: 1}) 140 cycle_length: 2, block_length: 3}) 151 cycle_length: 7, block_length: 2}) 160 cycle_length [all...] |
H A D | dataset_from_generator_op_test.py | 122 .interleave(interleave_fn, cycle_length=10, 182 interleave_fn, cycle_length=num_parallel_iterators, block_length=1)
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/external/fio/lib/ |
H A D | lfsr.h | 20 uint64_t cycle_length; member in struct:fio_lfsr
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H A D | lfsr.c | 116 * This is previously calculated in `prepare_spin` and cycle_length should 120 * ii. If it reaches zero, add "+1" to the spin and reset the cycle_length 133 if (fl->cycle_length && !--fl->cycle_length) { 135 fl->cycle_length = fl->cached_cycle_length; 200 fl->cycle_length = 0; /* No cycle occurs, other than the expected */ 205 fl->cycle_length = (x * i) + (y * i) / (spin + 1); 209 fl->cached_cycle_length = fl->cycle_length; 215 fl->cycle_length++;
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/external/tensorflow/tensorflow/contrib/data/python/ops/ |
H A D | interleave_ops.py | 34 def __init__(self, input_dataset, map_func, cycle_length, block_length, 73 cycle_length, dtype=dtypes.int64, name="cycle_length") 85 argument_default=2 * cycle_length) 116 cycle_length, 125 @{tf.data.Dataset.interleave}, it gets elements from `cycle_length` nested 140 cycle_length=4)) 148 cycle_length: The number of input `Dataset`s to interleave from in parallel. 166 dataset, map_func, cycle_length, block_length, sloppy, 174 def sloppy_interleave(map_func, cycle_length, block_lengt [all...] |
H A D | dataset_ops.py | 390 cycle_length=FLAGS.num_readers, block_length=1) 530 def interleave(self, map_func, cycle_length, block_length=1): 543 cycle_length=4, block_length=16)) 546 The `cycle_length` and `block_length` arguments control the order in which 547 elements are produced. `cycle_length` controls the number of input elements 548 that are processed concurrently. If you set `cycle_length` to 1, this 551 this transformation will apply `map_func` to `cycle_length` input elements, 566 cycle_length=2, block_length=4) == { 589 cycle_length: The number of elements from this dataset that will be 598 dataset_ops.InterleaveDataset(self._dataset, map_func, cycle_length, [all...] |
/external/tensorflow/tensorflow/contrib/data/python/kernel_tests/ |
H A D | interleave_dataset_op_test.py | 44 def _build_iterator_graph(self, input_values, cycle_length, block_length): 49 cycle_length, block_length) 54 # cycle_length > 1, block_length > 1 55 cycle_length = 2 60 input_values, cycle_length, block_length), 62 input_values, cycle_length * 2, block_length * 1), 64 # cycle_length = 1 65 cycle_length = 1 69 input_values, cycle_length, block_length), 72 cycle_length [all...] |
/external/webrtc/webrtc/video/ |
H A D | full_stack_plot.py | 213 def __init__(self, fields, data_list, cycle_length=None, frames=None, 217 self.cycle_length = cycle_length 245 if self.cycle_length: 246 line.values = average_over_cycle(line.values, self.cycle_length) 269 if self.cycle_length: 270 x = numpy.array(range(self.cycle_length)) 310 "-c", "--cycle_length", nargs=1, action=CustomAction, 340 cycle_length = None 350 if key == "cycle_length" [all...] |
/external/tensorflow/tensorflow/core/kernels/data/ |
H A D | parallel_interleave_dataset_op.cc | 53 int64 cycle_length = 0; variable 55 ParseScalarArgument(ctx, "cycle_length", &cycle_length)); 56 OP_REQUIRES(ctx, cycle_length > 0, 57 errors::InvalidArgument("`cycle_length` must be > 0")); 87 new Dataset(input, std::move(captured_func), cycle_length, block_length, 96 std::unique_ptr<CapturedFunction> captured_func, int64 cycle_length, 102 cycle_length_(cycle_length), 95 Dataset(const DatasetBase* input, std::unique_ptr<CapturedFunction> captured_func, int64 cycle_length, int64 block_length, bool sloppy, int64 buffer_output_elements, int64 prefetch_input_elements, const DataTypeVector& output_types, const std::vector<PartialTensorShape>& output_shapes) argument
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H A D | interleave_dataset_op.cc | 52 OP_REQUIRES_OK(ctx, ctx->input("cycle_length", &cycle_length_t)); 54 errors::InvalidArgument("cycle_length must be a scalar.")); 55 const int64 cycle_length = cycle_length_t->flat<int64>()(0); variable 57 ctx, cycle_length > 0, 58 errors::InvalidArgument("cycle_length must be greater than zero.")); 74 new Dataset(ctx, input, func_, std::move(captured_func), cycle_length, 83 std::unique_ptr<CapturedFunction> captured_func, int64 cycle_length, 90 cycle_length_(cycle_length), 81 Dataset(OpKernelContext* ctx, const DatasetBase* input, const NameAttrList& func, std::unique_ptr<CapturedFunction> captured_func, int64 cycle_length, int64 block_length, const DataTypeVector& output_types, const std::vector<PartialTensorShape>& output_shapes) argument
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/external/fio/t/ |
H A D | lfsr-test.c | 76 printf("Cycle length is %lu\n", (unsigned long) fl->cycle_length);
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/external/tensorflow/tensorflow/python/data/ops/ |
H A D | dataset_ops.py | 688 cycle_length=FLAGS.num_readers, block_length=1) 807 def interleave(self, map_func, cycle_length, block_length=1): 820 cycle_length=4, block_length=16)) 823 The `cycle_length` and `block_length` arguments control the order in which 824 elements are produced. `cycle_length` controls the number of input elements 825 that are processed concurrently. If you set `cycle_length` to 1, this 828 this transformation will apply `map_func` to `cycle_length` input elements, 843 cycle_length=2, block_length=4) == { 866 cycle_length: The number of elements from this dataset that will be 874 return InterleaveDataset(self, map_func, cycle_length, block_lengt [all...] |
/external/tensorflow/tensorflow/python/grappler/ |
H A D | datasets_test.py | 355 make_dataset(test_case['tensor']), cycle_length=42)
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