[Semi Auto] Matmul & Embedding InferBackward Rule #56257
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zhiqiu
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Aug 22, 2023
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| # trans_x = true, trans_y = true, abmn[-1, -1, 0, 1] --> abmk[-1, -1, -1, 0], a1kn[-1, -1, 1, -1] | ||
| self.out_dist_tensor_spec.shape = [512, 48, 64, 48] | ||
| self.x_dist_tensor_spec.shape = [512, 48, 64, 32] |
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| self.x_dist_tensor_spec.shape = [512, 48, 64, 32] | |
| self.x_dist_tensor_spec.shape = [512, 48, 32, 64] | |
| self.y_dist_tensor_spec.shape = [512, 1, 48, 32] |
| # data parallel | ||
| self.out_dist_tensor_spec.set_dims_mapping([1, -1, -1]) | ||
| result_dist_attrs = self.rule1.infer_backward( | ||
| [self.out_dist_tensor_spec], self.attrs |
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the inputs of infer_backward includes input_specs and output_specs
BeingGod
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Sep 9, 2023
* add embedding backward rule * update backward api * revert api * matmul inferbackward * update unitest
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PR types
Function optimization
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Description
Pcard-70448
inferbackward rule for matmul & embedding