mirror of
https://github.com/matrix-construct/construct
synced 2024-11-29 02:02:38 +01:00
ircd::gpt::model: Optimize left-attention mask.
This commit is contained in:
Jason Volk
parent
9ca95591ff
commit
ce9abfb321
7 changed files with 11 additions and 79 deletions
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@ -33,9 +33,6 @@ struct ircd::gpt::model::attn
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attn_bias alignas(align) [2304],
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attn_weight alignas(align) [768][2304];
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bool
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bias alignas(align) [1024][1024];
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float
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proj_bias alignas(align) [768],
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proj_weight alignas(align) [768][768];
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@ -60,9 +60,6 @@ struct ircd::gpt::pipe::model::attn
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fcon,
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proj;
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cl::data
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mask;
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attn(cl::data *, const off_t, const gpt::model::norm &, const gpt::model::attn &);
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attn(cl::data *, const off_t, gpt::model::norm &, gpt::model::attn &);
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};
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@ -11,12 +11,6 @@
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#pragma once
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#define HAVE_IRCD_GPT_TOKEN_H
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struct ircd_gpt_attn_mask
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{
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bool
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token[1024];
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};
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union ircd_gpt_token
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{
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float
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@ -28,7 +28,7 @@ namespace ircd::gpt
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static void norm(f32x4 *, const f32x4 *, const f32x4 *, const f32x4 *, const f32);
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static void vals(float (&)[12][1024][64], const float (&)[12][1024][1024], const float (&)[3][1024][12][64], const size_t);
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static void pare(float (&)[12][1024][1024], const float (&)[3][1024][12][64], const size_t);
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static void mask(float (&)[12][1024][1024], const float (&)[12][1024][1024], const bool (&)[1024][1024], const size_t);
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static void mask(float (&)[12][1024][1024], const float (&)[12][1024][1024], const size_t);
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static void smax(float (&)[12][1024][1024], const float (&)[12][1024][1024], const size_t);
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static void attn(float (&)[3][1024][12][64], const float *const, const size_t, const model::decoder &, const uint layer);
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static void ffnn(float *, const float *, const model::decoder &, const uint layer);
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@ -173,7 +173,7 @@ ircd::gpt::coil(float *__restrict__ accum,
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attn(qkv, accum, tokens, decoder, i);
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pare(state, qkv, tokens);
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mask(state, state, layer.attn.bias, tokens);
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mask(state, state, tokens);
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smax(state, state, tokens);
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vals(attns, state, qkv, tokens);
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@ -287,7 +287,6 @@ ircd::gpt::pare(float (&__restrict__ out)[12][1024][1024],
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void
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ircd::gpt::mask(float (&__restrict__ out)[12][1024][1024],
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const float (&__restrict__ in)[12][1024][1024],
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const bool (&__restrict__ bias)[1024][1024],
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const size_t num)
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{
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static const float masked
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@ -299,7 +298,7 @@ ircd::gpt::mask(float (&__restrict__ out)[12][1024][1024],
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for(uint j(0); j < 12; ++j)
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for(uint k(0); k < num; ++k)
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for(uint l(0); l < num; ++l)
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out[j][k][l] = bias[k][l]? in[j][k][l]: masked;
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out[j][k][l] = (k < l)? in[j][k][l]: masked;
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}
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void
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@ -197,8 +197,7 @@ ircd_gpt_attn_self(__global const struct ircd_gpt_ctrl *const ctrl,
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__constant const struct ircd_gpt_opts *const opts,
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__local union ircd_gpt_tokenv *const restrict out,
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__local float self[][12],
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__global const struct ircd_gpt_attn_qkvv *const restrict token,
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__global const struct ircd_gpt_attn_mask *const restrict mask) // [1024][1024],
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__global const struct ircd_gpt_attn_qkvv *const restrict token)
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{
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const uint
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gi = get_global_id(0),
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@ -215,7 +214,8 @@ ircd_gpt_attn_self(__global const struct ircd_gpt_ctrl *const ctrl,
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{
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for(uint i = 0; i < wn; ++i)
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{
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if(!mask[wi].token[i])
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// Left-attention mask
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if(wi < i)
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{
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self[i][li] = -10000.0f;
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continue;
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@ -288,7 +288,6 @@ ircd_gpt_coil(__global const struct ircd_gpt_ctrl *const ctrl,
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__constant const struct ircd_gpt_opts *const opts,
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__global union ircd_gpt_tokenv *const restrict accum,
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__global const struct ircd_gpt_attn_qkvv *const restrict state,
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__global const struct ircd_gpt_attn_mask *const restrict mask, // [1024][1024],
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__global const float4 *const restrict attn_proj_bias,
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__global const float4 *const restrict attn_proj_weight,
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__global const float4 *const restrict ffnn_norm_bias,
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@ -324,8 +323,7 @@ ircd_gpt_coil(__global const struct ircd_gpt_ctrl *const ctrl,
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opts,
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&buf1,
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buf.attn_self,
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state,
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mask
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state
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);
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barrier(CLK_LOCAL_MEM_FENCE);
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@ -29,8 +29,7 @@ namespace ircd::gpt::model
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init_h_attn_attn_weight(decoder &, const string_view &, const size_t &, const json::array &),
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init_h_attn_attn_bias(decoder &, const string_view &, const size_t &, const json::array &),
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init_h_attn_proj_weight(decoder &, const string_view &, const size_t &, const json::array &),
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init_h_attn_proj_bias(decoder &, const string_view &, const size_t &, const json::array &),
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init_h_attn_bias(decoder &, const string_view &, const size_t &, const json::array &);
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init_h_attn_proj_bias(decoder &, const string_view &, const size_t &, const json::array &);
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static bool init_dataset(const string_view &);
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static bool init_from_cache(const string_view &);
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@ -74,7 +73,6 @@ ircd::gpt::model::manifest_h
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{ "h.%u.attn.c_attn.bias.json", init_h_attn_attn_bias, },
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{ "h.%u.attn.c_proj.weight.json", init_h_attn_proj_weight, },
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{ "h.%u.attn.c_proj.bias.json", init_h_attn_proj_bias },
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{ "h.%u.attn.bias.json", init_h_attn_bias, },
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};
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decltype(ircd::gpt::model::manifest)
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@ -243,7 +241,7 @@ ircd::gpt::model::init_from_json(const string_view &cache_path,
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// Load the transformer files by layer
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const size_t layers {12};
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for(size_t i(0); i < layers; ++i)
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for(size_t j(0); j < 13; ++j)
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for(size_t j(0); j < 12; ++j)
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init_from_json_handle(*decoder, manifest_h[j], i);
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const const_buffer src
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@ -645,35 +643,3 @@ ircd::gpt::model::init_h_attn_proj_bias(decoder &d,
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always_assert(i == sizeof(d.layer[layer].attn.proj_bias) / sizeof(float));
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}
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void
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ircd::gpt::model::init_h_attn_bias(decoder &d,
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const string_view &name,
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const size_t &layer,
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const json::array &mat)
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{
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for(const json::array dim0 : mat)
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{
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for(const json::array dim1 : dim0)
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{
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size_t k(0);
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for(const json::array dim2 : dim1)
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{
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size_t l(0);
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for(const auto &elem : dim2)
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{
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always_assert(elem == "1.0" || elem == "0.0");
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d.layer[layer].attn.bias[k][l++] = startswith(elem, '1');
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}
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++k;
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}
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always_assert
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(
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k == sizeof(d.layer[layer].attn.bias)
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/ sizeof(d.layer[layer].attn.bias[0])
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);
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}
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}
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}
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@ -609,7 +609,6 @@ ircd::gpt::pipe::desc::layer::layer(pipe::desc &desc,
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desc.opts,
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desc.accum,
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desc.state,
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desc.model->decode->block[laynum].attn.mask,
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desc.model->decode->block[laynum].attn.proj.bias.param,
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desc.model->decode->block[laynum].attn.proj.weight.param,
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desc.model->decode->block[laynum].ffnn.norm.bias.param,
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@ -1120,18 +1119,10 @@ ircd::gpt::pipe::model::attn::attn(cl::data *const master,
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,proj
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{
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master,
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offset + off_t(sizeof(norm) + sizeof(attn.attn_bias) + sizeof(attn.attn_weight) + sizeof(attn.bias)),
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offset + off_t(sizeof(norm) + sizeof(attn.attn_bias) + sizeof(attn.attn_weight)),
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mutable_buffer{attn.proj_bias},
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mutable_buffer{attn.proj_weight},
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}
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,mask
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{
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master[0],
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{
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sizeof(attn.bias),
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offset + off_t(sizeof(norm) + sizeof(attn.attn_bias) + sizeof(attn.attn_weight)),
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},
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}
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{
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always_assert
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(
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@ -1139,7 +1130,6 @@ ircd::gpt::pipe::model::attn::attn(cl::data *const master,
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==
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ircd::data(const_buffer{norm.bias}) +
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sizeof(norm) +
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sizeof(attn.bias) +
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sizeof(attn.attn_bias) +
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sizeof(attn.attn_weight) +
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ircd::size(const_buffer{attn.proj_bias})
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@ -1167,18 +1157,10 @@ ircd::gpt::pipe::model::attn::attn(cl::data *const master,
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,proj
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{
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master,
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offset + off_t(sizeof(norm) + sizeof(attn.attn_bias) + sizeof(attn.attn_weight) + sizeof(attn.bias)),
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offset + off_t(sizeof(norm) + sizeof(attn.attn_bias) + sizeof(attn.attn_weight)),
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const_buffer{attn.proj_bias},
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const_buffer{attn.proj_weight},
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}
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,mask
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{
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master[0],
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{
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sizeof(attn.bias),
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offset + off_t(sizeof(norm) + sizeof(attn.attn_bias) + sizeof(attn.attn_weight)),
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},
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}
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{
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always_assert
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(
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@ -1186,7 +1168,6 @@ ircd::gpt::pipe::model::attn::attn(cl::data *const master,
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==
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ircd::data(const_buffer{norm.bias}) +
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sizeof(norm) +
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sizeof(attn.bias) +
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sizeof(attn.attn_bias) +
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sizeof(attn.attn_weight) +
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ircd::size(const_buffer{attn.proj_bias})
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