| /external/tensorflow/tensorflow/python/framework/ |
| D | type_spec.py | 104 def is_compatible_with(self, spec_or_value): argument
114 if not isinstance(spec_or_value, TypeSpec):
115 spec_or_value = type_spec_from_value(spec_or_value)
116 if type(self) is not type(spec_or_value):
119 spec_or_value._serialize()) # pylint: disable=protected-access
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| D | tensor_spec.py | 74 def is_compatible_with(self, spec_or_value): argument
75 return (isinstance(spec_or_value, (DenseSpec, self.value_type)) and
76 self._dtype.is_compatible_with(spec_or_value.dtype) and
77 self._shape.is_compatible_with(spec_or_value.shape))
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.-type-spec.pbtxt | 14 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.data.experimental.-structure.pbtxt | 14 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.-indexed-slices-spec.pbtxt | 16 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.-optional-spec.pbtxt | 20 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.data.experimental.-optional-structure.pbtxt | 20 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.data.-dataset-spec.pbtxt | 25 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.data.experimental.-dataset-structure.pbtxt | 25 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.-sparse-tensor-spec.pbtxt | 29 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.-ragged-tensor-spec.pbtxt | 41 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.-type-spec.pbtxt | 14 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.-optional-spec.pbtxt | 20 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.-indexed-slices-spec.pbtxt | 16 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.data.-iterator-spec.pbtxt | 20 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.data.-dataset-spec.pbtxt | 25 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.-sparse-tensor-spec.pbtxt | 29 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| D | tensorflow.-ragged-tensor-spec.pbtxt | 41 argspec: "args=[\'self\', \'spec_or_value\'], varargs=None, keywords=None, defaults=None"
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| /external/tensorflow/tensorflow/python/ops/ragged/ |
| D | ragged_tensor.py | 2326 def is_compatible_with(self, spec_or_value): argument
2330 if isinstance(spec_or_value, (ops.Tensor, tensor_spec.TensorSpec)):
2332 self._shape, self._dtype).is_compatible_with(spec_or_value)
2333 elif not isinstance(spec_or_value, (RaggedTensor, RaggedTensorSpec)):
2334 return self._flat_values_spec.is_compatible_with(spec_or_value)
2335 return super(RaggedTensorSpec, self).is_compatible_with(spec_or_value)
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