8f54218a8ed67dc6c3df585ff89777b1e2bb2c26,pytext/optimizer/sparsifiers/tests/sparsifier_test.py,TestSparsifier,test_param_mask_with_pre_mask,#TestSparsifier#,87

Before Change

        block_sz = 3
        blockwise_sparsifier = self._get_blockwise_sparsifier(block_sz, sparsity)
        param = torch.tensor([i for i in range(100)], dtype=float).view(10, 10)
        pre_mask = torch.tensor([i % 2 for i in range(100)], dtype=float).view(10, 10)
        block_l1_norms = param.new_zeros(param.shape)
        // loop-based implementation to compute blockwise l1norm
        abs_vals = []
        for i in range(10):

After Change

        param = torch.tensor([i for i in range(100)], dtype=float).view(10, 10)
        param = param - param.new_ones(param.shape) * 50
        pre_mask = param.new_zeros(param.shape)
        pre_mask[5:, :] = torch.ones(pre_mask[5:, :].shape)
        block_l1_norms = param.new_zeros(param.shape)
        // loop-based implementation to compute blockwise l1norm
        abs_vals = []
        for i in range(10):

Instances