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| from caffe2.python import core |
| from caffe2.python.modeling.parameter_info import ParameterTags |
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| def _elementwise_linear( |
| model, op_call, blob_in, blob_out, dim, |
| weight_init=None, bias_init=None, **kwargs |
| ): |
| """Elementwise_Linear""" |
| weight_init = weight_init or ('ConstantFill', {'value': 1.0}) |
| bias_init = bias_init or ('ConstantFill', {'value': 0.0}) |
| blob_out = blob_out or model.net.NextName() |
| if model.init_params: |
| weight = model.param_init_net.__getattr__(weight_init[0])( |
| [], |
| blob_out + '_w', |
| shape=[dim], |
| **weight_init[1] |
| ) |
| bias = model.param_init_net.__getattr__(bias_init[0])( |
| [], |
| blob_out + '_b', |
| shape=[dim], |
| **bias_init[1] |
| ) |
| else: |
| weight = core.ScopedBlobReference( |
| blob_out + '_w', model.param_init_net) |
| bias = core.ScopedBlobReference( |
| blob_out + '_b', model.param_init_net) |
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| model.AddParameter(weight, ParameterTags.WEIGHT) |
| model.AddParameter(bias, ParameterTags.BIAS) |
| return op_call([blob_in, weight, bias], blob_out, **kwargs) |
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| def elementwise_linear(model, *args, **kwargs): |
| return _elementwise_linear( |
| model, model.net.ElementwiseLinear, *args, **kwargs) |
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