(self)
| 378 | @register_class |
| 379 | class Gemm(CaffeOpExporter): |
| 380 | def parse(self): |
| 381 | super(Gemm, self).parse() |
| 382 | # Whether need to add transpose layer |
| 383 | transpose_layer = None |
| 384 | if refine_value(self.op.attributes.get('transA', 0)) != 0: |
| 385 | A = self.op.inputs[0] |
| 386 | shape = A.shape |
| 387 | if len(shape) == 2: |
| 388 | transpose_layer = ppl_caffe_pb2.LayerParameter(type='Transpose', name=self.op.name + '_transposed') |
| 389 | transpose_layer.bottom[:] = [A.name] |
| 390 | transpose_layer.top[:] = [A.name + '_trans'] |
| 391 | transpose_layer.transpose_param.dim[:] = [1, 0] |
| 392 | # Modify InnerProduct input |
| 393 | self.layer.bottom[:] = [A.name + '_trans'] |
| 394 | else: |
| 395 | raise ValueError('Cannot support transposed gemm with non-2D input.') |
| 396 | |
| 397 | if self.op.attributes.get('transB', 0) == 0: |
| 398 | B = convert_any_to_numpy(self.op.parameters[0].value) |
| 399 | BT_value = np.transpose(B, [1, 0]) |
| 400 | self.layer.blobs[0].shape.dim[:] = BT_value.shape |
| 401 | self.layer.blobs[0].data[:] = BT_value.astype('float32').flat |
| 402 | |
| 403 | self.layer.inner_product_param.axis = self.op.attributes.get('axis', 1) |
| 404 | self.layer.inner_product_param.num_output = self.layer.blobs[0].shape.dim[0] |
| 405 | self.layer.inner_product_param.bias_term = True if len(self.op.parameters) == 2 else False |
| 406 | |
| 407 | if transpose_layer is None: |
| 408 | return self.layer |
| 409 | else: |
| 410 | return [transpose_layer, self.layer] |
| 411 | |
| 412 | |
| 413 | @register_class |
nothing calls this directly
no test coverage detected