Args: input, other (Instances): size_as_tensor: compare image_size of the Instances as tensors (instead of tuples). Useful for comparing outputs of tracing.
(input, other, *, rtol=1e-5, msg="", size_as_tensor=False)
| 93 | |
| 94 | |
| 95 | def assert_instances_allclose(input, other, *, rtol=1e-5, msg="", size_as_tensor=False): |
| 96 | """ |
| 97 | Args: |
| 98 | input, other (Instances): |
| 99 | size_as_tensor: compare image_size of the Instances as tensors (instead of tuples). |
| 100 | Useful for comparing outputs of tracing. |
| 101 | """ |
| 102 | if not isinstance(input, Instances): |
| 103 | input = convert_scripted_instances(input) |
| 104 | if not isinstance(other, Instances): |
| 105 | other = convert_scripted_instances(other) |
| 106 | |
| 107 | if not msg: |
| 108 | msg = "Two Instances are different! " |
| 109 | else: |
| 110 | msg = msg.rstrip() + " " |
| 111 | |
| 112 | size_error_msg = msg + f"image_size is {input.image_size} vs. {other.image_size}!" |
| 113 | if size_as_tensor: |
| 114 | assert torch.equal( |
| 115 | torch.tensor(input.image_size), torch.tensor(other.image_size) |
| 116 | ), size_error_msg |
| 117 | else: |
| 118 | assert input.image_size == other.image_size, size_error_msg |
| 119 | fields = sorted(input.get_fields().keys()) |
| 120 | fields_other = sorted(other.get_fields().keys()) |
| 121 | assert fields == fields_other, msg + f"Fields are {fields} vs {fields_other}!" |
| 122 | |
| 123 | for f in fields: |
| 124 | val1, val2 = input.get(f), other.get(f) |
| 125 | if isinstance(val1, (Boxes, ROIMasks)): |
| 126 | # boxes in the range of O(100) and can have a larger tolerance |
| 127 | assert torch.allclose(val1.tensor, val2.tensor, atol=100 * rtol), ( |
| 128 | msg + f"Field {f} differs too much!" |
| 129 | ) |
| 130 | elif isinstance(val1, torch.Tensor): |
| 131 | if val1.dtype.is_floating_point: |
| 132 | mag = torch.abs(val1).max().cpu().item() |
| 133 | assert torch.allclose(val1, val2, atol=mag * rtol), ( |
| 134 | msg + f"Field {f} differs too much!" |
| 135 | ) |
| 136 | else: |
| 137 | assert torch.equal(val1, val2), msg + f"Field {f} is different!" |
| 138 | else: |
| 139 | raise ValueError(f"Don't know how to compare type {type(val1)}") |
| 140 | |
| 141 | |
| 142 | def reload_script_model(module): |
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