| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/mkldnn/examples/ |
| H A D | cpu_rnn_inference_int8.cpp | 60 const dim_t dec_n_layers = 4; variable
622 dec_n_layers * 1 * feature_size * lstm_n_gates * feature_size, in simple_net()
624 std::vector<float> user_dec_wei_iter(dec_n_layers * 1 in simple_net()
629 dec_n_layers * 1 * lstm_n_gates * feature_size, 1.0f); in simple_net()
640 = {dec_n_layers, 1, feature_size, lstm_n_gates, feature_size}; in simple_net()
641 memory::dims user_dec_wei_iter_dims = {dec_n_layers, 1, in simple_net()
644 = {dec_n_layers, 1, lstm_n_gates, feature_size}; in simple_net()
662 dec_n_layers * batch * 2 * feature_size, 1.0f); in simple_net()
665 = {dec_n_layers, 1, batch, feature_size + feature_size}; in simple_net()
667 = {dec_n_layers, 1, batch, feature_size}; in simple_net()
[all …]
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| H A D | cpu_rnn_inference_f32.cpp | 60 const dim_t dec_n_layers = 4; variable
534 dec_n_layers * 1 * feature_size * lstm_n_gates * feature_size, in simple_net()
536 std::vector<float> user_dec_wei_iter(dec_n_layers * 1 in simple_net()
541 dec_n_layers * 1 * lstm_n_gates * feature_size, 1.0f); in simple_net()
551 = {dec_n_layers, 1, feature_size, lstm_n_gates, feature_size}; in simple_net()
552 memory::dims user_dec_wei_iter_dims = {dec_n_layers, 1, in simple_net()
555 = {dec_n_layers, 1, lstm_n_gates, feature_size}; in simple_net()
574 = {dec_n_layers, 1, batch, feature_size + feature_size}; in simple_net()
576 = {dec_n_layers, 1, batch, feature_size}; in simple_net()
754 src_att_iter_handle, dec_n_layers, batch, feature_size); in simple_net()
[all …]
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| /dports/math/onednn/oneDNN-2.5.1/examples/ |
| H A D | cpu_rnn_inference_int8.cpp | 60 const dim_t dec_n_layers = 4; variable
622 dec_n_layers * 1 * feature_size * lstm_n_gates * feature_size, in simple_net()
624 std::vector<float> user_dec_wei_iter(dec_n_layers * 1 in simple_net()
629 dec_n_layers * 1 * lstm_n_gates * feature_size, 1.0f); in simple_net()
640 = {dec_n_layers, 1, feature_size, lstm_n_gates, feature_size}; in simple_net()
641 memory::dims user_dec_wei_iter_dims = {dec_n_layers, 1, in simple_net()
644 = {dec_n_layers, 1, lstm_n_gates, feature_size}; in simple_net()
662 dec_n_layers * batch * 2 * feature_size, 1.0f); in simple_net()
665 = {dec_n_layers, 1, batch, feature_size + feature_size}; in simple_net()
667 = {dec_n_layers, 1, batch, feature_size}; in simple_net()
[all …]
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| H A D | cpu_rnn_inference_f32.cpp | 60 const dim_t dec_n_layers = 4; variable
534 dec_n_layers * 1 * feature_size * lstm_n_gates * feature_size, in simple_net()
536 std::vector<float> user_dec_wei_iter(dec_n_layers * 1 in simple_net()
541 dec_n_layers * 1 * lstm_n_gates * feature_size, 1.0f); in simple_net()
551 = {dec_n_layers, 1, feature_size, lstm_n_gates, feature_size}; in simple_net()
552 memory::dims user_dec_wei_iter_dims = {dec_n_layers, 1, in simple_net()
555 = {dec_n_layers, 1, lstm_n_gates, feature_size}; in simple_net()
574 = {dec_n_layers, 1, batch, feature_size + feature_size}; in simple_net()
576 = {dec_n_layers, 1, batch, feature_size}; in simple_net()
754 src_att_iter_handle, dec_n_layers, batch, feature_size); in simple_net()
[all …]
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/mkldnn/tests/mkldnn_compat/examples/ |
| H A D | cpu_rnn_inference_f32.cpp | 60 const dim_t dec_n_layers = 4; variable
531 dec_n_layers * 1 * feature_size * lstm_n_gates * feature_size, in simple_net()
533 std::vector<float> user_dec_wei_iter(dec_n_layers * 1 in simple_net()
538 dec_n_layers * 1 * lstm_n_gates * feature_size, 1.0f); in simple_net()
548 = {dec_n_layers, 1, feature_size, lstm_n_gates, feature_size}; in simple_net()
549 memory::dims user_dec_wei_iter_dims = {dec_n_layers, 1, in simple_net()
552 = {dec_n_layers, 1, lstm_n_gates, feature_size}; in simple_net()
571 = {dec_n_layers, 1, batch, feature_size + feature_size}; in simple_net()
573 = {dec_n_layers, 1, batch, feature_size}; in simple_net()
751 src_att_iter_handle, dec_n_layers, batch, feature_size); in simple_net()
[all …]
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| H A D | cpu_rnn_inference_int8.cpp | 60 const dim_t dec_n_layers = 4; variable
617 dec_n_layers * 1 * feature_size * lstm_n_gates * feature_size, in simple_net()
619 std::vector<float> user_dec_wei_iter(dec_n_layers * 1 in simple_net()
624 dec_n_layers * 1 * lstm_n_gates * feature_size, 1.0f); in simple_net()
635 = {dec_n_layers, 1, feature_size, lstm_n_gates, feature_size}; in simple_net()
636 memory::dims user_dec_wei_iter_dims = {dec_n_layers, 1, in simple_net()
639 = {dec_n_layers, 1, lstm_n_gates, feature_size}; in simple_net()
657 = {dec_n_layers, 1, batch, feature_size + feature_size}; in simple_net()
659 = {dec_n_layers, 1, batch, feature_size}; in simple_net()
837 src_att_iter_handle, dec_n_layers, batch, feature_size); in simple_net()
[all …]
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| /dports/x11-wm/mutter/mutter-41.1/cogl/cogl/ |
| H A D | cogl-pipeline-private.h | 765 gboolean dec_n_layers);
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| H A D | cogl-pipeline.c | 1305 gboolean dec_n_layers) in _cogl_pipeline_remove_layer_difference() argument
1320 !dec_n_layers); in _cogl_pipeline_remove_layer_difference()
1340 if (dec_n_layers) in _cogl_pipeline_remove_layer_difference()
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| /dports/graphics/cogl/cogl-1.22.8/cogl/ |
| H A D | cogl-pipeline-private.h | 939 CoglBool dec_n_layers);
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| H A D | cogl-pipeline.c | 1523 CoglBool dec_n_layers) in _cogl_pipeline_remove_layer_difference() argument
1538 !dec_n_layers); in _cogl_pipeline_remove_layer_difference()
1558 if (dec_n_layers) in _cogl_pipeline_remove_layer_difference()
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| /dports/x11-wm/muffin/muffin-4.8.0/cogl/cogl/ |
| H A D | cogl-pipeline-private.h | 939 CoglBool dec_n_layers);
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| H A D | cogl-pipeline.c | 1523 CoglBool dec_n_layers) in _cogl_pipeline_remove_layer_difference() argument
1538 !dec_n_layers); in _cogl_pipeline_remove_layer_difference()
1558 if (dec_n_layers) in _cogl_pipeline_remove_layer_difference()
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