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* conv2d is an hlop * shorter conv * KOPT=-1 * alt imp * MULACC * smarter mulacc * pop conv * 7x7 -> 5x5 * didn't fix, that's not going to work * this is faster and matches old behavior * oh, non lazy just won't work with mulacc * mulacc in torch * bool types were creeping in * optimizer is actually better with hlop conv * fix pushing permutes issue * refactor einsum_mulacc * fix up readme * update readme * _image_conv2d * fix bias addition location * pushing permutes gets back to 200 kernels * conv cleanup * disable hlop conv * don't hide that in helpers |
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| .. | ||
| efficientnet | ||
| __init__.py | ||
| Dockerfile | ||
| external_osx_profiling.py | ||
| external_test_gpu_ast.py | ||
| external_test_image.py | ||
| external_test_llvm.py | ||
| external_test_opt.py | ||
| graph_batchnorm.py | ||
| test_assign.py | ||
| test_conv.py | ||
| test_efficientnet.py | ||
| test_gc.py | ||
| test_graph.py | ||
| test_jit.py | ||
| test_mnist.py | ||
| test_net_speed.py | ||
| test_nn.py | ||
| test_onnx.py | ||
| test_ops.py | ||
| test_optim.py | ||
| test_shapetracker.py | ||
| test_speed_v_torch.py | ||
| test_symbolic.py | ||
| test_tensor.py | ||
| test_train.py | ||
| test_utils.py | ||