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/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tutorials/frontend/
H A Dusing_external_lib.py57 simple_net = relay.nn.conv2d( variable
60 simple_net = relay.nn.batch_norm(simple_net, bn_gamma, bn_beta, bn_mmean, bn_mvar)[0] variable
61 simple_net = relay.nn.relu(simple_net) variable
62 simple_net = relay.Function(relay.analysis.free_vars(simple_net), simple_net) variable
65 net, params = testing.create_workload(simple_net)
496 net, params = testing.create_workload(simple_net)
/dports/misc/tvm/incubator-tvm-0.6.1/tutorials/frontend/
H A Dusing_external_lib.py56 simple_net = relay.nn.conv2d(data=data, weight=weight, kernel_size=(3,3), channels=out_channels, pa… variable
57 simple_net = relay.nn.batch_norm(simple_net, bn_gamma, bn_beta, bn_mmean, bn_mvar)[0] variable
58 simple_net = relay.nn.relu(simple_net) variable
59 simple_net = relay.Function(relay.analysis.free_vars(simple_net), simple_net) variable
62 net, params = testing.create_workload(simple_net)
494 net, params = testing.create_workload(simple_net)
/dports/misc/py-tvm/incubator-tvm-0.6.1/tutorials/frontend/
H A Dusing_external_lib.py56 simple_net = relay.nn.conv2d(data=data, weight=weight, kernel_size=(3,3), channels=out_channels, pa… variable
57 simple_net = relay.nn.batch_norm(simple_net, bn_gamma, bn_beta, bn_mmean, bn_mvar)[0] variable
58 simple_net = relay.nn.relu(simple_net) variable
59 simple_net = relay.Function(relay.analysis.free_vars(simple_net), simple_net) variable
62 net, params = testing.create_workload(simple_net)
494 net, params = testing.create_workload(simple_net)
/dports/misc/tvm/incubator-tvm-0.6.1/nnvm/tutorials/
H A Dusing_external_lib.py49 simple_net = sym.conv2d(data=data, kernel_size=(3,3), channels=out_channels, padding = (1, 1), use_… variable
50 simple_net = sym.batch_norm(data=simple_net) variable
51 simple_net = sym.relu(data=simple_net) variable
55 net, params = utils.create_workload(simple_net, batch_size, data_shape[1:])
173 net, params = utils.create_workload(simple_net, batch_size, data_shape[1:])
/dports/misc/py-tvm/incubator-tvm-0.6.1/nnvm/tutorials/
H A Dusing_external_lib.py49 simple_net = sym.conv2d(data=data, kernel_size=(3,3), channels=out_channels, padding = (1, 1), use_… variable
50 simple_net = sym.batch_norm(data=simple_net) variable
51 simple_net = sym.relu(data=simple_net) variable
55 net, params = utils.create_workload(simple_net, batch_size, data_shape[1:])
173 net, params = utils.create_workload(simple_net, batch_size, data_shape[1:])
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/mkldnn/doc/build/
H A Dlink.md49 g++ -std=c++11 -I${DNNLROOT}/include -L${DNNLROOT}/lib simple_net.cpp -ldnnl
50 clang++ -std=c++11 -I${DNNLROOT}/include -L${DNNLROOT}/lib simple_net.cpp -ldnnl
51 icpc -std=c++11 -I${DNNLROOT}/include -L${DNNLROOT}/lib simple_net.cpp -ldnnl
92 icl /I%DNNLROOT%\include /Qstd=c++11 /qopenmp simple_net.cpp %DNNLROOT%\lib\dnnl.lib
93 cl /I%DNNLROOT%\include simple_net.cpp %DNNLROOT%\lib\dnnl.lib
/dports/math/onednn/oneDNN-2.5.1/doc/build/
H A Dlink.md49 g++ -std=c++11 -I${DNNLROOT}/include -L${DNNLROOT}/lib simple_net.cpp -ldnnl
50 clang++ -std=c++11 -I${DNNLROOT}/include -L${DNNLROOT}/lib simple_net.cpp -ldnnl
51 icpc -std=c++11 -I${DNNLROOT}/include -L${DNNLROOT}/lib simple_net.cpp -ldnnl
92 icl /I%DNNLROOT%\include /Qstd=c++11 /qopenmp simple_net.cpp %DNNLROOT%\lib\dnnl.lib
93 cl /I%DNNLROOT%\include simple_net.cpp %DNNLROOT%\lib\dnnl.lib
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/mkldnn/tests/mkldnn_compat/examples/
H A Dcnn_training_f32.cpp40 void simple_net(engine::kind engine_kind) { in simple_net() function
431 simple_net(parse_engine_kind(argc, argv)); in main()
H A Dcpu_cnn_training_bf16.cpp43 void simple_net() { in simple_net() function
435 simple_net(); in main()
H A Dcnn_inference_f32.c148 mkldnn_status_t simple_net(mkldnn_engine_kind_t engine_kind) { in simple_net() function
457 mkldnn_status_t result = simple_net(parse_engine_kind(argc, argv)); in main()
H A Drnn_training_f32.cpp67 void simple_net(engine::kind engine_kind) { in simple_net() function
711 simple_net(parse_engine_kind(argc, argv)); in main()
H A Dcpu_rnn_inference_f32.cpp163 void simple_net() { in simple_net() function
800 simple_net(); in main()
H A Dcpu_cnn_training_f32.c166 mkldnn_status_t simple_net() { in simple_net() function
813 mkldnn_status_t result = simple_net(); in main()
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/mkldnn/examples/
H A Dcnn_training_bf16.cpp39 void simple_net(engine::kind engine_kind) { in simple_net() function
476 return handle_example_errors(simple_net, parse_engine_kind(argc, argv)); in main()
H A Dcnn_training_f32.cpp36 void simple_net(engine::kind engine_kind) { in simple_net() function
446 return handle_example_errors(simple_net, parse_engine_kind(argc, argv)); in main()
H A Dcnn_inference_f32.c164 void simple_net(dnnl_engine_kind_t engine_kind) { in simple_net() function
478 simple_net(engine_kind); in main()
H A Drnn_training_f32.cpp69 void simple_net(engine::kind engine_kind) { in simple_net() function
708 return handle_example_errors(simple_net, parse_engine_kind(argc, argv)); in main()
H A Dcpu_cnn_training_f32.c149 void simple_net() { in simple_net() function
785 simple_net(); in main()
H A Dcpu_rnn_inference_f32.cpp167 void simple_net() { in simple_net() function
802 return handle_example_errors({engine::kind::cpu}, simple_net); in main()
/dports/math/onednn/oneDNN-2.5.1/examples/
H A Dcnn_inference_f32.c164 void simple_net(dnnl_engine_kind_t engine_kind) { in simple_net() function
485 simple_net(engine_kind); in main()
H A Dcnn_training_bf16.cpp39 void simple_net(engine::kind engine_kind) { in simple_net() function
476 return handle_example_errors(simple_net, parse_engine_kind(argc, argv)); in main()
H A Dcnn_training_f32.cpp36 void simple_net(engine::kind engine_kind) { in simple_net() function
446 return handle_example_errors(simple_net, parse_engine_kind(argc, argv)); in main()
H A Drnn_training_f32.cpp69 void simple_net(engine::kind engine_kind) { in simple_net() function
708 return handle_example_errors(simple_net, parse_engine_kind(argc, argv)); in main()
H A Dcpu_rnn_inference_f32.cpp167 void simple_net() { in simple_net() function
802 return handle_example_errors({engine::kind::cpu}, simple_net); in main()
H A Dcpu_cnn_training_f32.c149 void simple_net() { in simple_net() function
792 simple_net(); in main()

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