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142b21fd44
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/48240 Adds the support for converting the SparseLengthsSum4BitRowwiseSparse operator from caffe2 to pytorch as a part of c2_pt_converter Test Plan: Added a unit tested buck test //caffe2/torch/fb/model_transform/c2_convert:c2_pt_converter_test Tests Passed : https://our.intern.facebook.com/intern/testinfra/testrun/2251799856412296 Reviewed By: houseroad Differential Revision: D25067833 fbshipit-source-id: 45cbc331ca35bee27e083714e65a1e87a2a2d2e0
45 lines
1.1 KiB
Python
45 lines
1.1 KiB
Python
## @package algebra
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# Module caffe2.python.helpers.algebra
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def transpose(model, blob_in, blob_out, use_cudnn=False, **kwargs):
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"""Transpose."""
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if use_cudnn:
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kwargs['engine'] = 'CUDNN'
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return model.net.Transpose(blob_in, blob_out, **kwargs)
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def sum(model, blob_in, blob_out, **kwargs):
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"""Sum"""
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return model.net.Sum(blob_in, blob_out, **kwargs)
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def reduce_sum(model, blob_in, blob_out, **kwargs):
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"""ReduceSum"""
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return model.net.ReduceSum(blob_in, blob_out, **kwargs)
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def sub(model, blob_in, blob_out, **kwargs):
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"""Subtract"""
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return model.net.Sub(blob_in, blob_out, **kwargs)
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def mat_mul(model, blob_in, blob_out, **kwargs):
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"""Matrix multiplication"""
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return model.net.MatMul(blob_in, blob_out, **kwargs)
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def batch_mat_mul(model, blob_in, blob_out,
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enable_tensor_core=False, **kwargs):
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if enable_tensor_core:
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kwargs['engine'] = 'TENSORCORE'
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return model.net.BatchMatMul(blob_in, blob_out, **kwargs)
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def sparse_lengths_sum_4bit_rowwise_sparse(model, blob_in, blob_out, **kwargs):
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return model.net.SparseLengthsSum4BitRowwiseSparse(blob_in, blob_out, **kwargs)
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