| 67 | |
| 68 | |
| 69 | class SliceSynthDataPipeline(Pipeline): |
| 70 | def __init__( |
| 71 | self, |
| 72 | device, |
| 73 | batch_size, |
| 74 | layout, |
| 75 | iterator, |
| 76 | pos_size_iter, |
| 77 | num_threads=1, |
| 78 | device_id=0, |
| 79 | num_gpus=1, |
| 80 | axes=None, |
| 81 | axis_names=None, |
| 82 | normalized_anchor=True, |
| 83 | normalized_shape=True, |
| 84 | extra_outputs=False, |
| 85 | out_of_bounds_policy=None, |
| 86 | fill_values=None, |
| 87 | input_type=types.FLOAT, |
| 88 | output_type=None, |
| 89 | ): |
| 90 | super().__init__(batch_size, num_threads, device_id, seed=1234) |
| 91 | self.device = device |
| 92 | self.layout = layout |
| 93 | self.iterator = iterator |
| 94 | self.pos_size_iter = pos_size_iter |
| 95 | self.inputs = ops.ExternalSource() |
| 96 | self.input_crop_pos = ops.ExternalSource() |
| 97 | self.input_crop_size = ops.ExternalSource() |
| 98 | self.extra_outputs = extra_outputs |
| 99 | self.cast_in = ops.Cast(dtype=input_type) |
| 100 | self.slice = ops.Slice( |
| 101 | device=self.device, |
| 102 | dtype=output_type, |
| 103 | normalized_anchor=normalized_anchor, |
| 104 | normalized_shape=normalized_shape, |
| 105 | axes=axes, |
| 106 | axis_names=axis_names, |
| 107 | out_of_bounds_policy=out_of_bounds_policy, |
| 108 | fill_values=fill_values, |
| 109 | ) |
| 110 | |
| 111 | def define_graph(self): |
| 112 | self.data = self.inputs() |
| 113 | self.crop_pos = self.input_crop_pos() |
| 114 | self.crop_size = self.input_crop_size() |
| 115 | data = self.cast_in(self.data) |
| 116 | data = data.gpu() if self.device == "gpu" else data |
| 117 | out = self.slice(data, self.crop_pos, self.crop_size) |
| 118 | if self.extra_outputs: |
| 119 | return out, self.data, self.crop_pos, self.crop_size |
| 120 | else: |
| 121 | return out |
| 122 | |
| 123 | def iter_setup(self): |
| 124 | data = self.iterator.next() |
| 125 | self.feed_input(self.data, data, layout=self.layout) |
| 126 |
no outgoing calls