Searched refs:num_decoder_layers (Results 1 – 15 of 15) sorted by relevance
/aosp_15_r20/external/pytorch/benchmarks/functional_autograd_benchmark/ |
H A D | vision_models.py | 75 num_decoder_layers = 6 82 num_decoder_layers=num_decoder_layers,
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H A D | torchvision_models.py | 503 num_decoder_layers=6, argument 516 hidden_dim, nheads, num_encoder_layers, num_decoder_layers
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/aosp_15_r20/external/pytorch/torch/csrc/api/include/torch/nn/options/ |
H A D | transformer.h | 31 int64_t num_decoder_layers); 44 TORCH_ARG(int64_t, num_decoder_layers) = 6;
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/aosp_15_r20/external/pytorch/torch/csrc/api/src/nn/options/ |
H A D | transformer.cpp | 45 int64_t num_decoder_layers) in TransformerOptions() argument 49 num_decoder_layers_(num_decoder_layers) {} in TransformerOptions()
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/aosp_15_r20/external/pytorch/torch/nn/modules/ |
H A D | transformer.py | 104 num_decoder_layers: int = 6, 162 decoder_layer, num_decoder_layers, decoder_norm
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/aosp_15_r20/external/pytorch/test/mobile/model_test/ |
H A D | quantization_ops.py | 76 d_model=2, nhead=2, num_encoder_layers=1, num_decoder_layers=1
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H A D | nn_ops.py | 253 d_model=2, nhead=2, num_encoder_layers=1, num_decoder_layers=1
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/aosp_15_r20/external/pytorch/test/cpp/api/ |
H A D | transformer.cpp | 1377 .num_decoder_layers(1) in transformer_test_helper() 1506 .num_decoder_layers(1) in TEST_F()
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/aosp_15_r20/external/pytorch/torch/csrc/api/src/nn/modules/ |
H A D | transformer.cpp | 399 options.num_decoder_layers()) in reset()
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/aosp_15_r20/external/pytorch/test/distributed/fsdp/ |
H A D | test_fsdp_flatten_params.py | 59 num_decoder_layers=2,
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/aosp_15_r20/external/pytorch/torch/testing/_internal/ |
H A D | common_fsdp.py | 256 num_decoder_layers=2,
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H A D | common_modules.py | 2579 num_encoder_layers=1, num_decoder_layers=1, 2601 num_encoder_layers=1, num_decoder_layers=1,
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/aosp_15_r20/external/pytorch/test/nn/ |
H A D | test_module_hooks.py | 872 d_model=4, nhead=2, num_encoder_layers=2, num_decoder_layers=2
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/aosp_15_r20/external/pytorch/test/ |
H A D | test_nn.py | 2822 num_decoder_layers = 3 2833 transformer = nn.Transformer(d_model, nhead, num_encoder_layers, num_decoder_layers, 3526 num_decoder_layers = 3 3549 num_decoder_layers, dim_feedforward, dropout) 3627 num_decoder_layers, dim_feedforward, dropout) 3671 model = getattr(nn, model_name)(d_model, nhead, num_encoder_layers, num_decoder_layers, 3675 model = getattr(nn, model_name)(d_model, nhead, num_encoder_layers, num_decoder_layers,
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H A D | test_jit.py | 15042 num_decoder_layers = 2 15052 num_decoder_layers, dim_feedforward, dropout=0.0)
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