- Fixes #170, add operator pad
sdpython
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mlprodict/onnxrt/ops_cpu/op_pad.py
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@@ -213,7 +213,8 @@
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| 213 | 213 | except (TypeError, ValueError) as e: |
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| 214 | 214 | raise TypeError( |
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| 215 | 215 | "Unable to call infer_shapes with {} arguments for class" |
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| 216 | - | " '{}'".format(len(args), self.ops_.__class__.__name__)) from e |
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| 216 | + | " '{}' ({})".format(len(args), self.ops_.__class__.__name__, |
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| 217 | + | self.ops_.infer_shapes)) from e |
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| 217 | 218 | if not isinstance(res, tuple): |
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| 218 | 219 | raise RuntimeError( # pragma: no cover |
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| 219 | 220 | "Results of an operator should be a tuple for operator '{}'" |
@@ -0,0 +1,46 @@
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| 1 | + | # -*- encoding: utf-8 -*- |
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| 2 | + | # pylint: disable=E0203,E1101,C0111 |
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| 3 | + | """ |
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| 4 | + | @file |
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| 5 | + | @brief Runtime operator. |
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| 6 | + | """ |
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| 7 | + | import numpy |
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| 8 | + | from ._op import OpRun |
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| 9 | + | from ..shape_object import ShapeObject |
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| 10 | + | ||
| 11 | + | ||
| 12 | + | def _pad_impl(data, raw_pads, mode, constant_values=0.0): |
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| 13 | + | input_rank = data.ndim |
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| 14 | + | if input_rank * 2 != raw_pads.size: |
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| 15 | + | raise Exception( |
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| 16 | + | 'The number of elements in raw_pads should be 2 * data_rank') |
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| 17 | + | ||
| 18 | + | half = raw_pads.shape[0] // 2 |
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| 19 | + | pad_width = tuple((raw_pads[i], raw_pads[i + half]) |
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| 20 | + | for i in range(0, half)) |
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| 21 | + | ||
| 22 | + | if mode == 'constant': |
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| 23 | + | return numpy.pad(data, pad_width=pad_width, mode=mode, |
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| 24 | + | constant_values=constant_values) |
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| 25 | + | return numpy.pad(data, pad_width=pad_width, mode=mode) |
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| 26 | + | ||
| 27 | + | ||
| 28 | + | class Pad(OpRun): |
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| 29 | + | ||
| 30 | + | atts = {'mode': b'constant'} |
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| 31 | + | ||
| 32 | + | def __init__(self, onnx_node, desc=None, **options): |
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| 33 | + | OpRun.__init__(self, onnx_node, desc=desc, |
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| 34 | + | expected_attributes=Pad.atts, |
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| 35 | + | **options) |
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| 36 | + | self.mode_ = self.mode.decode('ascii') |
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| 37 | + | ||
| 38 | + | def _run(self, data, pads, constant_value=None): # pylint: disable=W0221 |
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| 39 | + | return (_pad_impl(data, pads, mode=self.mode_, |
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| 40 | + | constant_values=constant_value), ) |
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| 41 | + | ||
| 42 | + | def _infer_shapes(self, data, pads, constant_value=None): # pylint: disable=E0202,W0221 |
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| 43 | + | """ |
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| 44 | + | Returns the same shape by default. |
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| 45 | + | """ |
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| 46 | + | return (ShapeObject(None, data.dtype), ) |
| Files | Coverage |
|---|---|
| mlprodict | 91.53% |
| Project Totals (226 files) | 91.53% |
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