Searched refs:base_model (Results 1 – 9 of 9) sorted by relevance
10 model_info.base_model = (eax >> 4) & 0xF; in cpuinfo_x86_decode_model_info()17 model_info.model = model_info.base_model + (model_info.extended_model << 4); in cpuinfo_x86_decode_model_info()
41 uint32_t base_model; member
180 const uint32_t base_model = (eax >> 4) & 15; in OPENSSL_cpuid_setup() local183 uint32_t model = base_model; in OPENSSL_cpuid_setup()
99 base_model = testing_utils.get_model_from_layers(107 y = base_model(x)
272 base_model = keras.Sequential([275 outputs = base_model(inputs[0])278 outputs_delta = outputs - base_model(0.5 * inputs[1])
1070 base_model = model_fn(inputs[0].shape.as_list()[-1], 2)1071 outputs = keras.layers.add([base_model(inputs[0]), base_model(inputs[1])])
2509 base_model = keras.Sequential([2520 logits = base_model(inputs)2523 zero_logits = base_model(array_ops.zeros_like(inputs))2524 one_logits = base_model(array_ops.ones_like(inputs))
848 base_model = training_lib.Model(a, b)851 b = base_model(a, training=False)864 b = base_model(a, training=True)