Automatic sparsity Utilities #32995
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Automatic sparsity Utilities #32995
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1. Added sparse mask generating functions, including 1D and 2Ds. 2. Added sparse pattern checking functions, including 1D and 2Ds.
… automatic_sparsity_utils
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Xreki
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May 25, 2021
| CheckMethod.get_checking_method(MaskAlgo.MASK_2D_BEST) | ||
| # CheckMethod.CHECK_2D | ||
| """ | ||
| assert type(mask_algo) == MaskAlgo, \ |
| return CheckMethod.CHECK_2D | ||
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| def density(x): |
There was a problem hiding this comment.
函数名用calculate_density这样的命名方式，比较有助于理解函数的功能。
| tuple: A pair of the reshaped and padded matrix and the shape of padded matrix (non-reshaping). | ||
| """ | ||
| remainder = mat.shape[1] % m | ||
| if mat.shape[1] % m > 0: |
| return True | ||
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| def get_mask_1d(mat, n, m): |
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如果我没理解错的话，1d是指沿着1个维度？那会不会命名成get_mask_along_1d会好一点？
| dtype = tensor.dtype | ||
| t = tensor.astype(float) | ||
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| assert type(func_name) == MaskAlgo, \ |
| elif len(shape) == 4: | ||
| t = t.reshape(shape[0], shape[1] * shape[2] * shape[3]) | ||
| mask = func(t, n=n, m=m) | ||
| return mask.reshape(shape).astype(dtype) |
| mask = func(t, n=n, m=m) | ||
| return mask.reshape(shape).astype(dtype) | ||
| else: | ||
| assert True, "The dimension of input tensor is not supported in create_mask, " \ |
| return func(t, n=n, m=m) | ||
| else: | ||
| assert True, "The dimension of input tensor is not supported in check_sparsity, " \ | ||
| "Only dimension < 4 is supported but got {}".format(len(shape)) |
| 'density', 'check_mask_1d', 'get_mask_1d', 'check_mask_2d', | ||
| 'get_mask_2d_greedy', 'get_mask_2d_best', 'create_mask', 'check_sparsity', | ||
| 'MaskAlgo', 'CheckMethod' | ||
| ] |
| from __future__ import print_function | ||
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| from . import utils | ||
| from .utils import * |
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若API不需要建立上层alias，则没有必要import *。
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Describe
Added sparse mask related utilities for further ASP training: