/external/pytorch/test/distributed/_composable/ |
D | test_compose.py | 57 base_model: nn.Module, 65 base_optim = torch.optim.Adam(base_model.parameters(), lr=LR) 73 base_loss = base_model(x).sum() 89 base_model = copy.deepcopy(model) 101 "base_model": [base_model], 114 base_model = copy.deepcopy(model) 125 "base_model": [base_model], 209 base_model = copy.deepcopy(model) 218 "base_model": [base_model], 232 base_model = copy.deepcopy(model) [all …]
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/external/pytorch/test/distributed/checkpoint/fsdp/ |
D | test_fsdp_dsd.py | 37 base_model = nn.Sequential( 42 return base_model 55 base_model = self._get_base_model(mlp_dim) 57 model1 = copy.deepcopy(base_model) 68 model2 = copy.deepcopy(base_model) 200 base_model = nn.Sequential(MLP(mlp_dim), MLP(mlp_dim), MLP(mlp_dim)) 201 return base_model 213 base_model = _get_base_model().cuda() 214 base_optim = torch.optim.AdamW(base_model.parameters(), lr=0.1) 218 copy.deepcopy(base_model), [all …]
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/external/pytorch/test/onnx/ |
D | test_models_quantized_onnxruntime.py | 35 def __init__(self, base_model): argument 37 self.base_model = base_model 40 x = self.base_model(x)
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/external/vboot_reference/futility/ |
D | updater_manifest.c | 375 struct model_config *base_model; in manifest_from_signer_config() local 389 base_model = manifest_get_model_config(manifest, base_name); in manifest_from_signer_config() 391 if (!base_model) { in manifest_from_signer_config() 393 } else if (!base_model->has_custom_label) { in manifest_from_signer_config() 394 base_model->has_custom_label = true; in manifest_from_signer_config() 609 const struct model_config *base_model) in manifest_find_custom_label_model() argument 618 model = quirk_override_custom_label(cfg, manifest, base_model); in manifest_find_custom_label_model() 635 VPD_CUSTOM_LABEL_TAG, base_model->name); in manifest_find_custom_label_model() 636 return base_model; in manifest_find_custom_label_model() 639 VB2_DEBUG("Found custom label tag: %s (base=%s)\n", tag, base_model->name); in manifest_find_custom_label_model() [all …]
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D | updater.h | 388 const struct model_config *base_model);
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D | updater.c | 1439 const struct model_config *base_model = model; in updater_setup_archive() local 1440 model = manifest_find_custom_label_model(cfg, manifest, base_model); in updater_setup_archive() 1450 if (base_model->image) { in updater_setup_archive() 1452 strcmp(base_model->image, model->image)) { in updater_setup_archive() 1455 base_model->name, model->name); in updater_setup_archive()
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/external/cpuinfo/src/x86/ |
D | info.c | 9 model_info.base_model = (eax >> 4) & 0xF; in cpuinfo_x86_decode_model_info() 16 model_info.model = model_info.base_model + (model_info.extended_model << 4); in cpuinfo_x86_decode_model_info()
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D | api.h | 40 uint32_t base_model; member
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/external/pytorch/test/distributed/_composable/fully_shard/ |
D | test_fully_shard_compile.py | 75 base_model = TransformerWithSharedParams.init( 81 ref_model = fully_shard(copy.deepcopy(base_model), **fsdp_kwargs) 83 model = fully_shard(copy.deepcopy(base_model), **fsdp_kwargs)
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/external/rust/android-crates-io/crates/quiche/deps/boringssl/src/crypto/ |
D | cpu-intel.c | 180 const uint32_t base_model = (eax >> 4) & 15; in OPENSSL_cpuid_setup() local 183 uint32_t model = base_model; in OPENSSL_cpuid_setup()
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/external/cronet/tot/third_party/boringssl/src/crypto/ |
D | cpu_intel.cc | 176 const uint32_t base_model = (eax >> 4) & 15; in OPENSSL_cpuid_setup() local 179 uint32_t model = base_model; in OPENSSL_cpuid_setup()
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/external/cronet/stable/third_party/boringssl/src/crypto/ |
D | cpu_intel.cc | 176 const uint32_t base_model = (eax >> 4) & 15; in OPENSSL_cpuid_setup() local 179 uint32_t model = base_model; in OPENSSL_cpuid_setup()
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/external/boringssl/src/crypto/ |
D | cpu_intel.cc | 145 const uint32_t base_model = (eax >> 4) & 15; in OPENSSL_cpuid_setup() local 148 uint32_t model = base_model; in OPENSSL_cpuid_setup()
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/external/pytorch/test/distributed/_composable/fsdp/ |
D | test_fully_shard_state_dict.py | 44 base_model = nn.Sequential( 50 model1 = copy.deepcopy(base_model) 57 model2 = copy.deepcopy(base_model)
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/external/pytorch/docs/source/ |
D | func.migrating.rst | 187 base_model = copy.deepcopy(models[0]) 188 base_model.to('meta') 195 return torch.func.functional_call(base_model, (params, buffers), (data,))
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/external/google-cloud-java/java-automl/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ |
D | translation.proto | 53 string base_model = 1; field
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/external/googleapis/google/cloud/automl/v1/ |
D | translation.proto | 54 string base_model = 1; field
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/external/google-cloud-java/java-automl/proto-google-cloud-automl-v1/src/main/proto/google/cloud/automl/v1/ |
D | translation.proto | 54 string base_model = 1; field
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/external/googleapis/google/cloud/automl/v1beta1/ |
D | translation.proto | 53 string base_model = 1; field
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/external/googleapis/google/ai/generativelanguage/v1beta3/ |
D | tuned_model.proto | 61 string base_model = 4 [ field 143 string base_model = 2 [ field
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/external/googleapis/google/ai/generativelanguage/v1beta/ |
D | tuned_model.proto | 61 string base_model = 4 [ field 143 string base_model = 2 [ field
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/external/pytorch/test/distributed/fsdp/ |
D | test_fsdp_use_orig_params.py | 252 base_model = TransformerWithSharedParams.init( 258 ref_model = FSDP(copy.deepcopy(base_model), self.process_group, **fsdp_kwargs) 260 model = FSDP(copy.deepcopy(base_model), self.process_group, **fsdp_kwargs)
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/external/pytorch/benchmarks/functional_autograd_benchmark/ |
D | torchvision_models.py | 446 base_model = model_map[name][1] 448 model = base_model(backbone, classifier, aux_classifier)
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/external/googleapis/google/cloud/aiplatform/v1/ |
D | tuning_job.proto | 45 string base_model = 4; field
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/external/pytorch/torch/testing/_internal/distributed/ |
D | distributed_test.py | 8729 base_model = self._test_different_graph_across_ranks( 8733 base_model._get_ddp_logging_data().get("has_rebuilt_buckets", 0) 8739 for i, j in zip(base_model.parameters(), static_model.parameters()):
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