Searched refs:n_outputs (Results 1 – 2 of 2) sorted by relevance
47 def __init__(self, n_outputs=4, trainable=True): argument50 self.layer1 = keras.layers.Dense(n_outputs)51 self.n_outputs = resource_variable_ops.ResourceVariable(52 n_outputs, trainable=trainable)334 model_copy.n_outputs.assign(1200)336 np.allclose(model_copy.n_outputs.numpy(),337 model.n_outputs.numpy()))
991 uint i, n_outputs = 0; in set_stream_out_varyings() local1009 varyings[n_outputs++] = start_skip; in set_stream_out_varyings()1012 varyings[n_outputs++] = strdup("gl_NextBuffer"); in set_stream_out_varyings()1021 varyings[n_outputs++] = start_skip; in set_stream_out_varyings()1027 varyings[n_outputs++] = strdup(sinfo->so_names[i]); in set_stream_out_varyings()1034 varyings[n_outputs++] = start_skip; in set_stream_out_varyings()1037 glTransformFeedbackVaryings(prog_id, n_outputs, in set_stream_out_varyings()1040 for (i = 0; i < n_outputs; i++) in set_stream_out_varyings()