Viswanath Sivakumar 231d6f7b09 Add SqueezeOp in MKLDNN ... Summary: SqueezeOp support to drop drop dims of size 1. MKLMemory now supports Reshape() if the buffer is in plain layout, in which case just the dims and layouts are modified similar to caffe2::Tensor. SqueezeOp takes care of converting the input to plain layout if needed via an intermediate buffer before calling Reshape(). Differential Revision: D6735656 fbshipit-source-id: 953309498370e1b8986e8c593bc6963f38036255		2018-01-22 18:39:42 -08:00
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convnet_benchmarks.py
mkl_concat_op_test.py	Add MKLConcatOp	2018-01-11 14:19:22 -08:00
mkl_conv_op_test.py
mkl_copy_op_test.py	Fix crash due to copying empty tensors into MKLMemory	2017-12-30 15:36:48 -08:00
mkl_elementwise_add_op_test.py	Add op in MKLDNN	2018-01-21 08:21:43 -08:00
mkl_elementwise_sum_op_test.py
mkl_fc_op_test.py
mkl_fc_speed_test.py
mkl_fill_op_test.py
mkl_LRN_op_test.py
mkl_LRN_speed_test.py
mkl_pool_op_test.py
mkl_pool_speed_test.py
mkl_relu_op_test.py
mkl_sbn_op_test.py	disable sbn running mean and var comp	2017-11-13 12:09:08 -08:00
mkl_sbn_speed_test.py
mkl_sigmoid_op_test.py	MKL Sigmoid op wrapper	2017-11-02 17:30:29 -07:00
mkl_speed_test.py
mkl_squeeze_op_test.py	Add SqueezeOp in MKLDNN	2018-01-22 18:39:42 -08:00
rewrite_graph.py	Updates to MKL conversion script	2018-01-08 12:25:23 -08:00
rewrite_graph_test.py	More extensions	2017-11-20 17:18:51 -08:00