I was unable to get sparse attention to run on my machine. When using sparse attention, Triton throws eitherIndexError: map::atwhen using Triton 1.0.0 orCUDA: Error- invalid imageon the latest version, Triton 1.
I can not use search function of milvus_client because of metric_type. It's not about metric type not match. It is not input expected metric type. Therefore, it's always raise the error metric type not match: invalid [expected=][actual=IP]: invalid parameter. Also I have specify metric...
GL_NV_gpu_shader5 GL_NV_half_float GL_NV_internalformat_sample_query GL_NV_light_max_exponent GL_NV_multisample_coverage GL_NV_multisample_filter_hint
Y = np.random.randint(num_decoder_tokens-1, size=(n,len_label_vector)).reshape(n,len_label_vector,1) decoder_inputs = Input(shape=(None,), name='Decoder-Input') x = Embedding(num_decoder_tokens, latent_dim, name='Decoder-Word-Embedding', mask_zero=False)(decoder_inputs) decoder_o...