adding BASELINE and BASIC configs
Browse files- configs/BASELINE.yaml +1072 -0
- configs/BASIC.yaml +1072 -0
configs/BASELINE.yaml
ADDED
@@ -0,0 +1,1072 @@
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|
1 |
+
model:
|
2 |
+
lm_head:
|
3 |
+
accum_format: SAME
|
4 |
+
approximation_function: NONE
|
5 |
+
input_format: SAME
|
6 |
+
instance: Linear
|
7 |
+
output_format: SAME
|
8 |
+
weight_format: SAME
|
9 |
+
weight_sparseness: DENSE
|
10 |
+
model.decoder.final_layer_norm:
|
11 |
+
approximation_function: NONE
|
12 |
+
bias_format: SAME
|
13 |
+
input_format: SAME
|
14 |
+
instance: LayerNorm
|
15 |
+
output_format: SAME
|
16 |
+
weight_format: SAME
|
17 |
+
model.decoder.layers.0.activation_fn:
|
18 |
+
approximation_function: NONE
|
19 |
+
input_format: SAME
|
20 |
+
instance: ReLU
|
21 |
+
output_format: SAME
|
22 |
+
model.decoder.layers.0.dropout:
|
23 |
+
approximation_function: NONE
|
24 |
+
input_format: SAME
|
25 |
+
instance: Dropout
|
26 |
+
output_format: SAME
|
27 |
+
model.decoder.layers.0.fc1:
|
28 |
+
accum_format: SAME
|
29 |
+
approximation_function: NONE
|
30 |
+
bias_format: SAME
|
31 |
+
input_format: SAME
|
32 |
+
instance: Linear
|
33 |
+
output_format: SAME
|
34 |
+
weight_format: SAME
|
35 |
+
weight_sparseness: DENSE
|
36 |
+
model.decoder.layers.0.fc2:
|
37 |
+
accum_format: SAME
|
38 |
+
approximation_function: NONE
|
39 |
+
bias_format: SAME
|
40 |
+
input_format: SAME
|
41 |
+
instance: Linear
|
42 |
+
output_format: SAME
|
43 |
+
weight_format: SAME
|
44 |
+
weight_sparseness: DENSE
|
45 |
+
model.decoder.layers.0.final_layer_norm:
|
46 |
+
approximation_function: NONE
|
47 |
+
bias_format: SAME
|
48 |
+
input_format: SAME
|
49 |
+
instance: LayerNorm
|
50 |
+
output_format: SAME
|
51 |
+
weight_format: SAME
|
52 |
+
model.decoder.layers.0.self_attn.dropout:
|
53 |
+
approximation_function: NONE
|
54 |
+
input_format: SAME
|
55 |
+
instance: Dropout
|
56 |
+
output_format: SAME
|
57 |
+
model.decoder.layers.0.self_attn.k_proj:
|
58 |
+
accum_format: SAME
|
59 |
+
approximation_function: NONE
|
60 |
+
bias_format: SAME
|
61 |
+
input_format: SAME
|
62 |
+
instance: Linear
|
63 |
+
output_format: SAME
|
64 |
+
weight_format: SAME
|
65 |
+
weight_sparseness: DENSE
|
66 |
+
model.decoder.layers.0.self_attn.out_proj:
|
67 |
+
accum_format: SAME
|
68 |
+
approximation_function: NONE
|
69 |
+
bias_format: SAME
|
70 |
+
input_format: SAME
|
71 |
+
instance: Linear
|
72 |
+
output_format: SAME
|
73 |
+
weight_format: SAME
|
74 |
+
weight_sparseness: DENSE
|
75 |
+
model.decoder.layers.0.self_attn.q_proj:
|
76 |
+
accum_format: SAME
|
77 |
+
approximation_function: NONE
|
78 |
+
bias_format: SAME
|
79 |
+
input_format: SAME
|
80 |
+
instance: Linear
|
81 |
+
output_format: SAME
|
82 |
+
weight_format: SAME
|
83 |
+
weight_sparseness: DENSE
|
84 |
+
model.decoder.layers.0.self_attn.softmax:
|
85 |
+
approximation_function: NONE
|
86 |
+
input_format: SAME
|
87 |
+
instance: Softmax
|
88 |
+
output_format: SAME
|
89 |
+
model.decoder.layers.0.self_attn.v_proj:
|
90 |
+
accum_format: SAME
|
91 |
+
approximation_function: NONE
|
92 |
+
bias_format: SAME
|
93 |
+
input_format: SAME
|
94 |
+
instance: Linear
|
95 |
+
output_format: SAME
|
96 |
+
weight_format: SAME
|
97 |
+
weight_sparseness: DENSE
|
98 |
+
model.decoder.layers.0.self_attn_layer_norm:
|
99 |
+
approximation_function: NONE
|
100 |
+
bias_format: SAME
|
101 |
+
input_format: SAME
|
102 |
+
instance: LayerNorm
|
103 |
+
output_format: SAME
|
104 |
+
weight_format: SAME
|
105 |
+
model.decoder.layers.1.activation_fn:
|
106 |
+
approximation_function: NONE
|
107 |
+
input_format: SAME
|
108 |
+
instance: ReLU
|
109 |
+
output_format: SAME
|
110 |
+
model.decoder.layers.1.dropout:
|
111 |
+
approximation_function: NONE
|
112 |
+
input_format: SAME
|
113 |
+
instance: Dropout
|
114 |
+
output_format: SAME
|
115 |
+
model.decoder.layers.1.fc1:
|
116 |
+
accum_format: SAME
|
117 |
+
approximation_function: NONE
|
118 |
+
bias_format: SAME
|
119 |
+
input_format: SAME
|
120 |
+
instance: Linear
|
121 |
+
output_format: SAME
|
122 |
+
weight_format: SAME
|
123 |
+
weight_sparseness: DENSE
|
124 |
+
model.decoder.layers.1.fc2:
|
125 |
+
accum_format: SAME
|
126 |
+
approximation_function: NONE
|
127 |
+
bias_format: SAME
|
128 |
+
input_format: SAME
|
129 |
+
instance: Linear
|
130 |
+
output_format: SAME
|
131 |
+
weight_format: SAME
|
132 |
+
weight_sparseness: DENSE
|
133 |
+
model.decoder.layers.1.final_layer_norm:
|
134 |
+
approximation_function: NONE
|
135 |
+
bias_format: SAME
|
136 |
+
input_format: SAME
|
137 |
+
instance: LayerNorm
|
138 |
+
output_format: SAME
|
139 |
+
weight_format: SAME
|
140 |
+
model.decoder.layers.1.self_attn.dropout:
|
141 |
+
approximation_function: NONE
|
142 |
+
input_format: SAME
|
143 |
+
instance: Dropout
|
144 |
+
output_format: SAME
|
145 |
+
model.decoder.layers.1.self_attn.k_proj:
|
146 |
+
accum_format: SAME
|
147 |
+
approximation_function: NONE
|
148 |
+
bias_format: SAME
|
149 |
+
input_format: SAME
|
150 |
+
instance: Linear
|
151 |
+
output_format: SAME
|
152 |
+
weight_format: SAME
|
153 |
+
weight_sparseness: DENSE
|
154 |
+
model.decoder.layers.1.self_attn.out_proj:
|
155 |
+
accum_format: SAME
|
156 |
+
approximation_function: NONE
|
157 |
+
bias_format: SAME
|
158 |
+
input_format: SAME
|
159 |
+
instance: Linear
|
160 |
+
output_format: SAME
|
161 |
+
weight_format: SAME
|
162 |
+
weight_sparseness: DENSE
|
163 |
+
model.decoder.layers.1.self_attn.q_proj:
|
164 |
+
accum_format: SAME
|
165 |
+
approximation_function: NONE
|
166 |
+
bias_format: SAME
|
167 |
+
input_format: SAME
|
168 |
+
instance: Linear
|
169 |
+
output_format: SAME
|
170 |
+
weight_format: SAME
|
171 |
+
weight_sparseness: DENSE
|
172 |
+
model.decoder.layers.1.self_attn.softmax:
|
173 |
+
approximation_function: NONE
|
174 |
+
input_format: SAME
|
175 |
+
instance: Softmax
|
176 |
+
output_format: SAME
|
177 |
+
model.decoder.layers.1.self_attn.v_proj:
|
178 |
+
accum_format: SAME
|
179 |
+
approximation_function: NONE
|
180 |
+
bias_format: SAME
|
181 |
+
input_format: SAME
|
182 |
+
instance: Linear
|
183 |
+
output_format: SAME
|
184 |
+
weight_format: SAME
|
185 |
+
weight_sparseness: DENSE
|
186 |
+
model.decoder.layers.1.self_attn_layer_norm:
|
187 |
+
approximation_function: NONE
|
188 |
+
bias_format: SAME
|
189 |
+
input_format: SAME
|
190 |
+
instance: LayerNorm
|
191 |
+
output_format: SAME
|
192 |
+
weight_format: SAME
|
193 |
+
model.decoder.layers.10.activation_fn:
|
194 |
+
approximation_function: NONE
|
195 |
+
input_format: SAME
|
196 |
+
instance: ReLU
|
197 |
+
output_format: SAME
|
198 |
+
model.decoder.layers.10.dropout:
|
199 |
+
approximation_function: NONE
|
200 |
+
input_format: SAME
|
201 |
+
instance: Dropout
|
202 |
+
output_format: SAME
|
203 |
+
model.decoder.layers.10.fc1:
|
204 |
+
accum_format: SAME
|
205 |
+
approximation_function: NONE
|
206 |
+
bias_format: SAME
|
207 |
+
input_format: SAME
|
208 |
+
instance: Linear
|
209 |
+
output_format: SAME
|
210 |
+
weight_format: SAME
|
211 |
+
weight_sparseness: DENSE
|
212 |
+
model.decoder.layers.10.fc2:
|
213 |
+
accum_format: SAME
|
214 |
+
approximation_function: NONE
|
215 |
+
bias_format: SAME
|
216 |
+
input_format: SAME
|
217 |
+
instance: Linear
|
218 |
+
output_format: SAME
|
219 |
+
weight_format: SAME
|
220 |
+
weight_sparseness: DENSE
|
221 |
+
model.decoder.layers.10.final_layer_norm:
|
222 |
+
approximation_function: NONE
|
223 |
+
bias_format: SAME
|
224 |
+
input_format: SAME
|
225 |
+
instance: LayerNorm
|
226 |
+
output_format: SAME
|
227 |
+
weight_format: SAME
|
228 |
+
model.decoder.layers.10.self_attn.dropout:
|
229 |
+
approximation_function: NONE
|
230 |
+
input_format: SAME
|
231 |
+
instance: Dropout
|
232 |
+
output_format: SAME
|
233 |
+
model.decoder.layers.10.self_attn.k_proj:
|
234 |
+
accum_format: SAME
|
235 |
+
approximation_function: NONE
|
236 |
+
bias_format: SAME
|
237 |
+
input_format: SAME
|
238 |
+
instance: Linear
|
239 |
+
output_format: SAME
|
240 |
+
weight_format: SAME
|
241 |
+
weight_sparseness: DENSE
|
242 |
+
model.decoder.layers.10.self_attn.out_proj:
|
243 |
+
accum_format: SAME
|
244 |
+
approximation_function: NONE
|
245 |
+
bias_format: SAME
|
246 |
+
input_format: SAME
|
247 |
+
instance: Linear
|
248 |
+
output_format: SAME
|
249 |
+
weight_format: SAME
|
250 |
+
weight_sparseness: DENSE
|
251 |
+
model.decoder.layers.10.self_attn.q_proj:
|
252 |
+
accum_format: SAME
|
253 |
+
approximation_function: NONE
|
254 |
+
bias_format: SAME
|
255 |
+
input_format: SAME
|
256 |
+
instance: Linear
|
257 |
+
output_format: SAME
|
258 |
+
weight_format: SAME
|
259 |
+
weight_sparseness: DENSE
|
260 |
+
model.decoder.layers.10.self_attn.softmax:
|
261 |
+
approximation_function: NONE
|
262 |
+
input_format: SAME
|
263 |
+
instance: Softmax
|
264 |
+
output_format: SAME
|
265 |
+
model.decoder.layers.10.self_attn.v_proj:
|
266 |
+
accum_format: SAME
|
267 |
+
approximation_function: NONE
|
268 |
+
bias_format: SAME
|
269 |
+
input_format: SAME
|
270 |
+
instance: Linear
|
271 |
+
output_format: SAME
|
272 |
+
weight_format: SAME
|
273 |
+
weight_sparseness: DENSE
|
274 |
+
model.decoder.layers.10.self_attn_layer_norm:
|
275 |
+
approximation_function: NONE
|
276 |
+
bias_format: SAME
|
277 |
+
input_format: SAME
|
278 |
+
instance: LayerNorm
|
279 |
+
output_format: SAME
|
280 |
+
weight_format: SAME
|
281 |
+
model.decoder.layers.11.activation_fn:
|
282 |
+
approximation_function: NONE
|
283 |
+
input_format: SAME
|
284 |
+
instance: ReLU
|
285 |
+
output_format: SAME
|
286 |
+
model.decoder.layers.11.dropout:
|
287 |
+
approximation_function: NONE
|
288 |
+
input_format: SAME
|
289 |
+
instance: Dropout
|
290 |
+
output_format: SAME
|
291 |
+
model.decoder.layers.11.fc1:
|
292 |
+
accum_format: SAME
|
293 |
+
approximation_function: NONE
|
294 |
+
bias_format: SAME
|
295 |
+
input_format: SAME
|
296 |
+
instance: Linear
|
297 |
+
output_format: SAME
|
298 |
+
weight_format: SAME
|
299 |
+
weight_sparseness: DENSE
|
300 |
+
model.decoder.layers.11.fc2:
|
301 |
+
accum_format: SAME
|
302 |
+
approximation_function: NONE
|
303 |
+
bias_format: SAME
|
304 |
+
input_format: SAME
|
305 |
+
instance: Linear
|
306 |
+
output_format: SAME
|
307 |
+
weight_format: SAME
|
308 |
+
weight_sparseness: DENSE
|
309 |
+
model.decoder.layers.11.final_layer_norm:
|
310 |
+
approximation_function: NONE
|
311 |
+
bias_format: SAME
|
312 |
+
input_format: SAME
|
313 |
+
instance: LayerNorm
|
314 |
+
output_format: SAME
|
315 |
+
weight_format: SAME
|
316 |
+
model.decoder.layers.11.self_attn.dropout:
|
317 |
+
approximation_function: NONE
|
318 |
+
input_format: SAME
|
319 |
+
instance: Dropout
|
320 |
+
output_format: SAME
|
321 |
+
model.decoder.layers.11.self_attn.k_proj:
|
322 |
+
accum_format: SAME
|
323 |
+
approximation_function: NONE
|
324 |
+
bias_format: SAME
|
325 |
+
input_format: SAME
|
326 |
+
instance: Linear
|
327 |
+
output_format: SAME
|
328 |
+
weight_format: SAME
|
329 |
+
weight_sparseness: DENSE
|
330 |
+
model.decoder.layers.11.self_attn.out_proj:
|
331 |
+
accum_format: SAME
|
332 |
+
approximation_function: NONE
|
333 |
+
bias_format: SAME
|
334 |
+
input_format: SAME
|
335 |
+
instance: Linear
|
336 |
+
output_format: SAME
|
337 |
+
weight_format: SAME
|
338 |
+
weight_sparseness: DENSE
|
339 |
+
model.decoder.layers.11.self_attn.q_proj:
|
340 |
+
accum_format: SAME
|
341 |
+
approximation_function: NONE
|
342 |
+
bias_format: SAME
|
343 |
+
input_format: SAME
|
344 |
+
instance: Linear
|
345 |
+
output_format: SAME
|
346 |
+
weight_format: SAME
|
347 |
+
weight_sparseness: DENSE
|
348 |
+
model.decoder.layers.11.self_attn.softmax:
|
349 |
+
approximation_function: NONE
|
350 |
+
input_format: SAME
|
351 |
+
instance: Softmax
|
352 |
+
output_format: SAME
|
353 |
+
model.decoder.layers.11.self_attn.v_proj:
|
354 |
+
accum_format: SAME
|
355 |
+
approximation_function: NONE
|
356 |
+
bias_format: SAME
|
357 |
+
input_format: SAME
|
358 |
+
instance: Linear
|
359 |
+
output_format: SAME
|
360 |
+
weight_format: SAME
|
361 |
+
weight_sparseness: DENSE
|
362 |
+
model.decoder.layers.11.self_attn_layer_norm:
|
363 |
+
approximation_function: NONE
|
364 |
+
bias_format: SAME
|
365 |
+
input_format: SAME
|
366 |
+
instance: LayerNorm
|
367 |
+
output_format: SAME
|
368 |
+
weight_format: SAME
|
369 |
+
model.decoder.layers.2.activation_fn:
|
370 |
+
approximation_function: NONE
|
371 |
+
input_format: SAME
|
372 |
+
instance: ReLU
|
373 |
+
output_format: SAME
|
374 |
+
model.decoder.layers.2.dropout:
|
375 |
+
approximation_function: NONE
|
376 |
+
input_format: SAME
|
377 |
+
instance: Dropout
|
378 |
+
output_format: SAME
|
379 |
+
model.decoder.layers.2.fc1:
|
380 |
+
accum_format: SAME
|
381 |
+
approximation_function: NONE
|
382 |
+
bias_format: SAME
|
383 |
+
input_format: SAME
|
384 |
+
instance: Linear
|
385 |
+
output_format: SAME
|
386 |
+
weight_format: SAME
|
387 |
+
weight_sparseness: DENSE
|
388 |
+
model.decoder.layers.2.fc2:
|
389 |
+
accum_format: SAME
|
390 |
+
approximation_function: NONE
|
391 |
+
bias_format: SAME
|
392 |
+
input_format: SAME
|
393 |
+
instance: Linear
|
394 |
+
output_format: SAME
|
395 |
+
weight_format: SAME
|
396 |
+
weight_sparseness: DENSE
|
397 |
+
model.decoder.layers.2.final_layer_norm:
|
398 |
+
approximation_function: NONE
|
399 |
+
bias_format: SAME
|
400 |
+
input_format: SAME
|
401 |
+
instance: LayerNorm
|
402 |
+
output_format: SAME
|
403 |
+
weight_format: SAME
|
404 |
+
model.decoder.layers.2.self_attn.dropout:
|
405 |
+
approximation_function: NONE
|
406 |
+
input_format: SAME
|
407 |
+
instance: Dropout
|
408 |
+
output_format: SAME
|
409 |
+
model.decoder.layers.2.self_attn.k_proj:
|
410 |
+
accum_format: SAME
|
411 |
+
approximation_function: NONE
|
412 |
+
bias_format: SAME
|
413 |
+
input_format: SAME
|
414 |
+
instance: Linear
|
415 |
+
output_format: SAME
|
416 |
+
weight_format: SAME
|
417 |
+
weight_sparseness: DENSE
|
418 |
+
model.decoder.layers.2.self_attn.out_proj:
|
419 |
+
accum_format: SAME
|
420 |
+
approximation_function: NONE
|
421 |
+
bias_format: SAME
|
422 |
+
input_format: SAME
|
423 |
+
instance: Linear
|
424 |
+
output_format: SAME
|
425 |
+
weight_format: SAME
|
426 |
+
weight_sparseness: DENSE
|
427 |
+
model.decoder.layers.2.self_attn.q_proj:
|
428 |
+
accum_format: SAME
|
429 |
+
approximation_function: NONE
|
430 |
+
bias_format: SAME
|
431 |
+
input_format: SAME
|
432 |
+
instance: Linear
|
433 |
+
output_format: SAME
|
434 |
+
weight_format: SAME
|
435 |
+
weight_sparseness: DENSE
|
436 |
+
model.decoder.layers.2.self_attn.softmax:
|
437 |
+
approximation_function: NONE
|
438 |
+
input_format: SAME
|
439 |
+
instance: Softmax
|
440 |
+
output_format: SAME
|
441 |
+
model.decoder.layers.2.self_attn.v_proj:
|
442 |
+
accum_format: SAME
|
443 |
+
approximation_function: NONE
|
444 |
+
bias_format: SAME
|
445 |
+
input_format: SAME
|
446 |
+
instance: Linear
|
447 |
+
output_format: SAME
|
448 |
+
weight_format: SAME
|
449 |
+
weight_sparseness: DENSE
|
450 |
+
model.decoder.layers.2.self_attn_layer_norm:
|
451 |
+
approximation_function: NONE
|
452 |
+
bias_format: SAME
|
453 |
+
input_format: SAME
|
454 |
+
instance: LayerNorm
|
455 |
+
output_format: SAME
|
456 |
+
weight_format: SAME
|
457 |
+
model.decoder.layers.3.activation_fn:
|
458 |
+
approximation_function: NONE
|
459 |
+
input_format: SAME
|
460 |
+
instance: ReLU
|
461 |
+
output_format: SAME
|
462 |
+
model.decoder.layers.3.dropout:
|
463 |
+
approximation_function: NONE
|
464 |
+
input_format: SAME
|
465 |
+
instance: Dropout
|
466 |
+
output_format: SAME
|
467 |
+
model.decoder.layers.3.fc1:
|
468 |
+
accum_format: SAME
|
469 |
+
approximation_function: NONE
|
470 |
+
bias_format: SAME
|
471 |
+
input_format: SAME
|
472 |
+
instance: Linear
|
473 |
+
output_format: SAME
|
474 |
+
weight_format: SAME
|
475 |
+
weight_sparseness: DENSE
|
476 |
+
model.decoder.layers.3.fc2:
|
477 |
+
accum_format: SAME
|
478 |
+
approximation_function: NONE
|
479 |
+
bias_format: SAME
|
480 |
+
input_format: SAME
|
481 |
+
instance: Linear
|
482 |
+
output_format: SAME
|
483 |
+
weight_format: SAME
|
484 |
+
weight_sparseness: DENSE
|
485 |
+
model.decoder.layers.3.final_layer_norm:
|
486 |
+
approximation_function: NONE
|
487 |
+
bias_format: SAME
|
488 |
+
input_format: SAME
|
489 |
+
instance: LayerNorm
|
490 |
+
output_format: SAME
|
491 |
+
weight_format: SAME
|
492 |
+
model.decoder.layers.3.self_attn.dropout:
|
493 |
+
approximation_function: NONE
|
494 |
+
input_format: SAME
|
495 |
+
instance: Dropout
|
496 |
+
output_format: SAME
|
497 |
+
model.decoder.layers.3.self_attn.k_proj:
|
498 |
+
accum_format: SAME
|
499 |
+
approximation_function: NONE
|
500 |
+
bias_format: SAME
|
501 |
+
input_format: SAME
|
502 |
+
instance: Linear
|
503 |
+
output_format: SAME
|
504 |
+
weight_format: SAME
|
505 |
+
weight_sparseness: DENSE
|
506 |
+
model.decoder.layers.3.self_attn.out_proj:
|
507 |
+
accum_format: SAME
|
508 |
+
approximation_function: NONE
|
509 |
+
bias_format: SAME
|
510 |
+
input_format: SAME
|
511 |
+
instance: Linear
|
512 |
+
output_format: SAME
|
513 |
+
weight_format: SAME
|
514 |
+
weight_sparseness: DENSE
|
515 |
+
model.decoder.layers.3.self_attn.q_proj:
|
516 |
+
accum_format: SAME
|
517 |
+
approximation_function: NONE
|
518 |
+
bias_format: SAME
|
519 |
+
input_format: SAME
|
520 |
+
instance: Linear
|
521 |
+
output_format: SAME
|
522 |
+
weight_format: SAME
|
523 |
+
weight_sparseness: DENSE
|
524 |
+
model.decoder.layers.3.self_attn.softmax:
|
525 |
+
approximation_function: NONE
|
526 |
+
input_format: SAME
|
527 |
+
instance: Softmax
|
528 |
+
output_format: SAME
|
529 |
+
model.decoder.layers.3.self_attn.v_proj:
|
530 |
+
accum_format: SAME
|
531 |
+
approximation_function: NONE
|
532 |
+
bias_format: SAME
|
533 |
+
input_format: SAME
|
534 |
+
instance: Linear
|
535 |
+
output_format: SAME
|
536 |
+
weight_format: SAME
|
537 |
+
weight_sparseness: DENSE
|
538 |
+
model.decoder.layers.3.self_attn_layer_norm:
|
539 |
+
approximation_function: NONE
|
540 |
+
bias_format: SAME
|
541 |
+
input_format: SAME
|
542 |
+
instance: LayerNorm
|
543 |
+
output_format: SAME
|
544 |
+
weight_format: SAME
|
545 |
+
model.decoder.layers.4.activation_fn:
|
546 |
+
approximation_function: NONE
|
547 |
+
input_format: SAME
|
548 |
+
instance: ReLU
|
549 |
+
output_format: SAME
|
550 |
+
model.decoder.layers.4.dropout:
|
551 |
+
approximation_function: NONE
|
552 |
+
input_format: SAME
|
553 |
+
instance: Dropout
|
554 |
+
output_format: SAME
|
555 |
+
model.decoder.layers.4.fc1:
|
556 |
+
accum_format: SAME
|
557 |
+
approximation_function: NONE
|
558 |
+
bias_format: SAME
|
559 |
+
input_format: SAME
|
560 |
+
instance: Linear
|
561 |
+
output_format: SAME
|
562 |
+
weight_format: SAME
|
563 |
+
weight_sparseness: DENSE
|
564 |
+
model.decoder.layers.4.fc2:
|
565 |
+
accum_format: SAME
|
566 |
+
approximation_function: NONE
|
567 |
+
bias_format: SAME
|
568 |
+
input_format: SAME
|
569 |
+
instance: Linear
|
570 |
+
output_format: SAME
|
571 |
+
weight_format: SAME
|
572 |
+
weight_sparseness: DENSE
|
573 |
+
model.decoder.layers.4.final_layer_norm:
|
574 |
+
approximation_function: NONE
|
575 |
+
bias_format: SAME
|
576 |
+
input_format: SAME
|
577 |
+
instance: LayerNorm
|
578 |
+
output_format: SAME
|
579 |
+
weight_format: SAME
|
580 |
+
model.decoder.layers.4.self_attn.dropout:
|
581 |
+
approximation_function: NONE
|
582 |
+
input_format: SAME
|
583 |
+
instance: Dropout
|
584 |
+
output_format: SAME
|
585 |
+
model.decoder.layers.4.self_attn.k_proj:
|
586 |
+
accum_format: SAME
|
587 |
+
approximation_function: NONE
|
588 |
+
bias_format: SAME
|
589 |
+
input_format: SAME
|
590 |
+
instance: Linear
|
591 |
+
output_format: SAME
|
592 |
+
weight_format: SAME
|
593 |
+
weight_sparseness: DENSE
|
594 |
+
model.decoder.layers.4.self_attn.out_proj:
|
595 |
+
accum_format: SAME
|
596 |
+
approximation_function: NONE
|
597 |
+
bias_format: SAME
|
598 |
+
input_format: SAME
|
599 |
+
instance: Linear
|
600 |
+
output_format: SAME
|
601 |
+
weight_format: SAME
|
602 |
+
weight_sparseness: DENSE
|
603 |
+
model.decoder.layers.4.self_attn.q_proj:
|
604 |
+
accum_format: SAME
|
605 |
+
approximation_function: NONE
|
606 |
+
bias_format: SAME
|
607 |
+
input_format: SAME
|
608 |
+
instance: Linear
|
609 |
+
output_format: SAME
|
610 |
+
weight_format: SAME
|
611 |
+
weight_sparseness: DENSE
|
612 |
+
model.decoder.layers.4.self_attn.softmax:
|
613 |
+
approximation_function: NONE
|
614 |
+
input_format: SAME
|
615 |
+
instance: Softmax
|
616 |
+
output_format: SAME
|
617 |
+
model.decoder.layers.4.self_attn.v_proj:
|
618 |
+
accum_format: SAME
|
619 |
+
approximation_function: NONE
|
620 |
+
bias_format: SAME
|
621 |
+
input_format: SAME
|
622 |
+
instance: Linear
|
623 |
+
output_format: SAME
|
624 |
+
weight_format: SAME
|
625 |
+
weight_sparseness: DENSE
|
626 |
+
model.decoder.layers.4.self_attn_layer_norm:
|
627 |
+
approximation_function: NONE
|
628 |
+
bias_format: SAME
|
629 |
+
input_format: SAME
|
630 |
+
instance: LayerNorm
|
631 |
+
output_format: SAME
|
632 |
+
weight_format: SAME
|
633 |
+
model.decoder.layers.5.activation_fn:
|
634 |
+
approximation_function: NONE
|
635 |
+
input_format: SAME
|
636 |
+
instance: ReLU
|
637 |
+
output_format: SAME
|
638 |
+
model.decoder.layers.5.dropout:
|
639 |
+
approximation_function: NONE
|
640 |
+
input_format: SAME
|
641 |
+
instance: Dropout
|
642 |
+
output_format: SAME
|
643 |
+
model.decoder.layers.5.fc1:
|
644 |
+
accum_format: SAME
|
645 |
+
approximation_function: NONE
|
646 |
+
bias_format: SAME
|
647 |
+
input_format: SAME
|
648 |
+
instance: Linear
|
649 |
+
output_format: SAME
|
650 |
+
weight_format: SAME
|
651 |
+
weight_sparseness: DENSE
|
652 |
+
model.decoder.layers.5.fc2:
|
653 |
+
accum_format: SAME
|
654 |
+
approximation_function: NONE
|
655 |
+
bias_format: SAME
|
656 |
+
input_format: SAME
|
657 |
+
instance: Linear
|
658 |
+
output_format: SAME
|
659 |
+
weight_format: SAME
|
660 |
+
weight_sparseness: DENSE
|
661 |
+
model.decoder.layers.5.final_layer_norm:
|
662 |
+
approximation_function: NONE
|
663 |
+
bias_format: SAME
|
664 |
+
input_format: SAME
|
665 |
+
instance: LayerNorm
|
666 |
+
output_format: SAME
|
667 |
+
weight_format: SAME
|
668 |
+
model.decoder.layers.5.self_attn.dropout:
|
669 |
+
approximation_function: NONE
|
670 |
+
input_format: SAME
|
671 |
+
instance: Dropout
|
672 |
+
output_format: SAME
|
673 |
+
model.decoder.layers.5.self_attn.k_proj:
|
674 |
+
accum_format: SAME
|
675 |
+
approximation_function: NONE
|
676 |
+
bias_format: SAME
|
677 |
+
input_format: SAME
|
678 |
+
instance: Linear
|
679 |
+
output_format: SAME
|
680 |
+
weight_format: SAME
|
681 |
+
weight_sparseness: DENSE
|
682 |
+
model.decoder.layers.5.self_attn.out_proj:
|
683 |
+
accum_format: SAME
|
684 |
+
approximation_function: NONE
|
685 |
+
bias_format: SAME
|
686 |
+
input_format: SAME
|
687 |
+
instance: Linear
|
688 |
+
output_format: SAME
|
689 |
+
weight_format: SAME
|
690 |
+
weight_sparseness: DENSE
|
691 |
+
model.decoder.layers.5.self_attn.q_proj:
|
692 |
+
accum_format: SAME
|
693 |
+
approximation_function: NONE
|
694 |
+
bias_format: SAME
|
695 |
+
input_format: SAME
|
696 |
+
instance: Linear
|
697 |
+
output_format: SAME
|
698 |
+
weight_format: SAME
|
699 |
+
weight_sparseness: DENSE
|
700 |
+
model.decoder.layers.5.self_attn.softmax:
|
701 |
+
approximation_function: NONE
|
702 |
+
input_format: SAME
|
703 |
+
instance: Softmax
|
704 |
+
output_format: SAME
|
705 |
+
model.decoder.layers.5.self_attn.v_proj:
|
706 |
+
accum_format: SAME
|
707 |
+
approximation_function: NONE
|
708 |
+
bias_format: SAME
|
709 |
+
input_format: SAME
|
710 |
+
instance: Linear
|
711 |
+
output_format: SAME
|
712 |
+
weight_format: SAME
|
713 |
+
weight_sparseness: DENSE
|
714 |
+
model.decoder.layers.5.self_attn_layer_norm:
|
715 |
+
approximation_function: NONE
|
716 |
+
bias_format: SAME
|
717 |
+
input_format: SAME
|
718 |
+
instance: LayerNorm
|
719 |
+
output_format: SAME
|
720 |
+
weight_format: SAME
|
721 |
+
model.decoder.layers.6.activation_fn:
|
722 |
+
approximation_function: NONE
|
723 |
+
input_format: SAME
|
724 |
+
instance: ReLU
|
725 |
+
output_format: SAME
|
726 |
+
model.decoder.layers.6.dropout:
|
727 |
+
approximation_function: NONE
|
728 |
+
input_format: SAME
|
729 |
+
instance: Dropout
|
730 |
+
output_format: SAME
|
731 |
+
model.decoder.layers.6.fc1:
|
732 |
+
accum_format: SAME
|
733 |
+
approximation_function: NONE
|
734 |
+
bias_format: SAME
|
735 |
+
input_format: SAME
|
736 |
+
instance: Linear
|
737 |
+
output_format: SAME
|
738 |
+
weight_format: SAME
|
739 |
+
weight_sparseness: DENSE
|
740 |
+
model.decoder.layers.6.fc2:
|
741 |
+
accum_format: SAME
|
742 |
+
approximation_function: NONE
|
743 |
+
bias_format: SAME
|
744 |
+
input_format: SAME
|
745 |
+
instance: Linear
|
746 |
+
output_format: SAME
|
747 |
+
weight_format: SAME
|
748 |
+
weight_sparseness: DENSE
|
749 |
+
model.decoder.layers.6.final_layer_norm:
|
750 |
+
approximation_function: NONE
|
751 |
+
bias_format: SAME
|
752 |
+
input_format: SAME
|
753 |
+
instance: LayerNorm
|
754 |
+
output_format: SAME
|
755 |
+
weight_format: SAME
|
756 |
+
model.decoder.layers.6.self_attn.dropout:
|
757 |
+
approximation_function: NONE
|
758 |
+
input_format: SAME
|
759 |
+
instance: Dropout
|
760 |
+
output_format: SAME
|
761 |
+
model.decoder.layers.6.self_attn.k_proj:
|
762 |
+
accum_format: SAME
|
763 |
+
approximation_function: NONE
|
764 |
+
bias_format: SAME
|
765 |
+
input_format: SAME
|
766 |
+
instance: Linear
|
767 |
+
output_format: SAME
|
768 |
+
weight_format: SAME
|
769 |
+
weight_sparseness: DENSE
|
770 |
+
model.decoder.layers.6.self_attn.out_proj:
|
771 |
+
accum_format: SAME
|
772 |
+
approximation_function: NONE
|
773 |
+
bias_format: SAME
|
774 |
+
input_format: SAME
|
775 |
+
instance: Linear
|
776 |
+
output_format: SAME
|
777 |
+
weight_format: SAME
|
778 |
+
weight_sparseness: DENSE
|
779 |
+
model.decoder.layers.6.self_attn.q_proj:
|
780 |
+
accum_format: SAME
|
781 |
+
approximation_function: NONE
|
782 |
+
bias_format: SAME
|
783 |
+
input_format: SAME
|
784 |
+
instance: Linear
|
785 |
+
output_format: SAME
|
786 |
+
weight_format: SAME
|
787 |
+
weight_sparseness: DENSE
|
788 |
+
model.decoder.layers.6.self_attn.softmax:
|
789 |
+
approximation_function: NONE
|
790 |
+
input_format: SAME
|
791 |
+
instance: Softmax
|
792 |
+
output_format: SAME
|
793 |
+
model.decoder.layers.6.self_attn.v_proj:
|
794 |
+
accum_format: SAME
|
795 |
+
approximation_function: NONE
|
796 |
+
bias_format: SAME
|
797 |
+
input_format: SAME
|
798 |
+
instance: Linear
|
799 |
+
output_format: SAME
|
800 |
+
weight_format: SAME
|
801 |
+
weight_sparseness: DENSE
|
802 |
+
model.decoder.layers.6.self_attn_layer_norm:
|
803 |
+
approximation_function: NONE
|
804 |
+
bias_format: SAME
|
805 |
+
input_format: SAME
|
806 |
+
instance: LayerNorm
|
807 |
+
output_format: SAME
|
808 |
+
weight_format: SAME
|
809 |
+
model.decoder.layers.7.activation_fn:
|
810 |
+
approximation_function: NONE
|
811 |
+
input_format: SAME
|
812 |
+
instance: ReLU
|
813 |
+
output_format: SAME
|
814 |
+
model.decoder.layers.7.dropout:
|
815 |
+
approximation_function: NONE
|
816 |
+
input_format: SAME
|
817 |
+
instance: Dropout
|
818 |
+
output_format: SAME
|
819 |
+
model.decoder.layers.7.fc1:
|
820 |
+
accum_format: SAME
|
821 |
+
approximation_function: NONE
|
822 |
+
bias_format: SAME
|
823 |
+
input_format: SAME
|
824 |
+
instance: Linear
|
825 |
+
output_format: SAME
|
826 |
+
weight_format: SAME
|
827 |
+
weight_sparseness: DENSE
|
828 |
+
model.decoder.layers.7.fc2:
|
829 |
+
accum_format: SAME
|
830 |
+
approximation_function: NONE
|
831 |
+
bias_format: SAME
|
832 |
+
input_format: SAME
|
833 |
+
instance: Linear
|
834 |
+
output_format: SAME
|
835 |
+
weight_format: SAME
|
836 |
+
weight_sparseness: DENSE
|
837 |
+
model.decoder.layers.7.final_layer_norm:
|
838 |
+
approximation_function: NONE
|
839 |
+
bias_format: SAME
|
840 |
+
input_format: SAME
|
841 |
+
instance: LayerNorm
|
842 |
+
output_format: SAME
|
843 |
+
weight_format: SAME
|
844 |
+
model.decoder.layers.7.self_attn.dropout:
|
845 |
+
approximation_function: NONE
|
846 |
+
input_format: SAME
|
847 |
+
instance: Dropout
|
848 |
+
output_format: SAME
|
849 |
+
model.decoder.layers.7.self_attn.k_proj:
|
850 |
+
accum_format: SAME
|
851 |
+
approximation_function: NONE
|
852 |
+
bias_format: SAME
|
853 |
+
input_format: SAME
|
854 |
+
instance: Linear
|
855 |
+
output_format: SAME
|
856 |
+
weight_format: SAME
|
857 |
+
weight_sparseness: DENSE
|
858 |
+
model.decoder.layers.7.self_attn.out_proj:
|
859 |
+
accum_format: SAME
|
860 |
+
approximation_function: NONE
|
861 |
+
bias_format: SAME
|
862 |
+
input_format: SAME
|
863 |
+
instance: Linear
|
864 |
+
output_format: SAME
|
865 |
+
weight_format: SAME
|
866 |
+
weight_sparseness: DENSE
|
867 |
+
model.decoder.layers.7.self_attn.q_proj:
|
868 |
+
accum_format: SAME
|
869 |
+
approximation_function: NONE
|
870 |
+
bias_format: SAME
|
871 |
+
input_format: SAME
|
872 |
+
instance: Linear
|
873 |
+
output_format: SAME
|
874 |
+
weight_format: SAME
|
875 |
+
weight_sparseness: DENSE
|
876 |
+
model.decoder.layers.7.self_attn.softmax:
|
877 |
+
approximation_function: NONE
|
878 |
+
input_format: SAME
|
879 |
+
instance: Softmax
|
880 |
+
output_format: SAME
|
881 |
+
model.decoder.layers.7.self_attn.v_proj:
|
882 |
+
accum_format: SAME
|
883 |
+
approximation_function: NONE
|
884 |
+
bias_format: SAME
|
885 |
+
input_format: SAME
|
886 |
+
instance: Linear
|
887 |
+
output_format: SAME
|
888 |
+
weight_format: SAME
|
889 |
+
weight_sparseness: DENSE
|
890 |
+
model.decoder.layers.7.self_attn_layer_norm:
|
891 |
+
approximation_function: NONE
|
892 |
+
bias_format: SAME
|
893 |
+
input_format: SAME
|
894 |
+
instance: LayerNorm
|
895 |
+
output_format: SAME
|
896 |
+
weight_format: SAME
|
897 |
+
model.decoder.layers.8.activation_fn:
|
898 |
+
approximation_function: NONE
|
899 |
+
input_format: SAME
|
900 |
+
instance: ReLU
|
901 |
+
output_format: SAME
|
902 |
+
model.decoder.layers.8.dropout:
|
903 |
+
approximation_function: NONE
|
904 |
+
input_format: SAME
|
905 |
+
instance: Dropout
|
906 |
+
output_format: SAME
|
907 |
+
model.decoder.layers.8.fc1:
|
908 |
+
accum_format: SAME
|
909 |
+
approximation_function: NONE
|
910 |
+
bias_format: SAME
|
911 |
+
input_format: SAME
|
912 |
+
instance: Linear
|
913 |
+
output_format: SAME
|
914 |
+
weight_format: SAME
|
915 |
+
weight_sparseness: DENSE
|
916 |
+
model.decoder.layers.8.fc2:
|
917 |
+
accum_format: SAME
|
918 |
+
approximation_function: NONE
|
919 |
+
bias_format: SAME
|
920 |
+
input_format: SAME
|
921 |
+
instance: Linear
|
922 |
+
output_format: SAME
|
923 |
+
weight_format: SAME
|
924 |
+
weight_sparseness: DENSE
|
925 |
+
model.decoder.layers.8.final_layer_norm:
|
926 |
+
approximation_function: NONE
|
927 |
+
bias_format: SAME
|
928 |
+
input_format: SAME
|
929 |
+
instance: LayerNorm
|
930 |
+
output_format: SAME
|
931 |
+
weight_format: SAME
|
932 |
+
model.decoder.layers.8.self_attn.dropout:
|
933 |
+
approximation_function: NONE
|
934 |
+
input_format: SAME
|
935 |
+
instance: Dropout
|
936 |
+
output_format: SAME
|
937 |
+
model.decoder.layers.8.self_attn.k_proj:
|
938 |
+
accum_format: SAME
|
939 |
+
approximation_function: NONE
|
940 |
+
bias_format: SAME
|
941 |
+
input_format: SAME
|
942 |
+
instance: Linear
|
943 |
+
output_format: SAME
|
944 |
+
weight_format: SAME
|
945 |
+
weight_sparseness: DENSE
|
946 |
+
model.decoder.layers.8.self_attn.out_proj:
|
947 |
+
accum_format: SAME
|
948 |
+
approximation_function: NONE
|
949 |
+
bias_format: SAME
|
950 |
+
input_format: SAME
|
951 |
+
instance: Linear
|
952 |
+
output_format: SAME
|
953 |
+
weight_format: SAME
|
954 |
+
weight_sparseness: DENSE
|
955 |
+
model.decoder.layers.8.self_attn.q_proj:
|
956 |
+
accum_format: SAME
|
957 |
+
approximation_function: NONE
|
958 |
+
bias_format: SAME
|
959 |
+
input_format: SAME
|
960 |
+
instance: Linear
|
961 |
+
output_format: SAME
|
962 |
+
weight_format: SAME
|
963 |
+
weight_sparseness: DENSE
|
964 |
+
model.decoder.layers.8.self_attn.softmax:
|
965 |
+
approximation_function: NONE
|
966 |
+
input_format: SAME
|
967 |
+
instance: Softmax
|
968 |
+
output_format: SAME
|
969 |
+
model.decoder.layers.8.self_attn.v_proj:
|
970 |
+
accum_format: SAME
|
971 |
+
approximation_function: NONE
|
972 |
+
bias_format: SAME
|
973 |
+
input_format: SAME
|
974 |
+
instance: Linear
|
975 |
+
output_format: SAME
|
976 |
+
weight_format: SAME
|
977 |
+
weight_sparseness: DENSE
|
978 |
+
model.decoder.layers.8.self_attn_layer_norm:
|
979 |
+
approximation_function: NONE
|
980 |
+
bias_format: SAME
|
981 |
+
input_format: SAME
|
982 |
+
instance: LayerNorm
|
983 |
+
output_format: SAME
|
984 |
+
weight_format: SAME
|
985 |
+
model.decoder.layers.9.activation_fn:
|
986 |
+
approximation_function: NONE
|
987 |
+
input_format: SAME
|
988 |
+
instance: ReLU
|
989 |
+
output_format: SAME
|
990 |
+
model.decoder.layers.9.dropout:
|
991 |
+
approximation_function: NONE
|
992 |
+
input_format: SAME
|
993 |
+
instance: Dropout
|
994 |
+
output_format: SAME
|
995 |
+
model.decoder.layers.9.fc1:
|
996 |
+
accum_format: SAME
|
997 |
+
approximation_function: NONE
|
998 |
+
bias_format: SAME
|
999 |
+
input_format: SAME
|
1000 |
+
instance: Linear
|
1001 |
+
output_format: SAME
|
1002 |
+
weight_format: SAME
|
1003 |
+
weight_sparseness: DENSE
|
1004 |
+
model.decoder.layers.9.fc2:
|
1005 |
+
accum_format: SAME
|
1006 |
+
approximation_function: NONE
|
1007 |
+
bias_format: SAME
|
1008 |
+
input_format: SAME
|
1009 |
+
instance: Linear
|
1010 |
+
output_format: SAME
|
1011 |
+
weight_format: SAME
|
1012 |
+
weight_sparseness: DENSE
|
1013 |
+
model.decoder.layers.9.final_layer_norm:
|
1014 |
+
approximation_function: NONE
|
1015 |
+
bias_format: SAME
|
1016 |
+
input_format: SAME
|
1017 |
+
instance: LayerNorm
|
1018 |
+
output_format: SAME
|
1019 |
+
weight_format: SAME
|
1020 |
+
model.decoder.layers.9.self_attn.dropout:
|
1021 |
+
approximation_function: NONE
|
1022 |
+
input_format: SAME
|
1023 |
+
instance: Dropout
|
1024 |
+
output_format: SAME
|
1025 |
+
model.decoder.layers.9.self_attn.k_proj:
|
1026 |
+
accum_format: SAME
|
1027 |
+
approximation_function: NONE
|
1028 |
+
bias_format: SAME
|
1029 |
+
input_format: SAME
|
1030 |
+
instance: Linear
|
1031 |
+
output_format: SAME
|
1032 |
+
weight_format: SAME
|
1033 |
+
weight_sparseness: DENSE
|
1034 |
+
model.decoder.layers.9.self_attn.out_proj:
|
1035 |
+
accum_format: SAME
|
1036 |
+
approximation_function: NONE
|
1037 |
+
bias_format: SAME
|
1038 |
+
input_format: SAME
|
1039 |
+
instance: Linear
|
1040 |
+
output_format: SAME
|
1041 |
+
weight_format: SAME
|
1042 |
+
weight_sparseness: DENSE
|
1043 |
+
model.decoder.layers.9.self_attn.q_proj:
|
1044 |
+
accum_format: SAME
|
1045 |
+
approximation_function: NONE
|
1046 |
+
bias_format: SAME
|
1047 |
+
input_format: SAME
|
1048 |
+
instance: Linear
|
1049 |
+
output_format: SAME
|
1050 |
+
weight_format: SAME
|
1051 |
+
weight_sparseness: DENSE
|
1052 |
+
model.decoder.layers.9.self_attn.softmax:
|
1053 |
+
approximation_function: NONE
|
1054 |
+
input_format: SAME
|
1055 |
+
instance: Softmax
|
1056 |
+
output_format: SAME
|
1057 |
+
model.decoder.layers.9.self_attn.v_proj:
|
1058 |
+
accum_format: SAME
|
1059 |
+
approximation_function: NONE
|
1060 |
+
bias_format: SAME
|
1061 |
+
input_format: SAME
|
1062 |
+
instance: Linear
|
1063 |
+
output_format: SAME
|
1064 |
+
weight_format: SAME
|
1065 |
+
weight_sparseness: DENSE
|
1066 |
+
model.decoder.layers.9.self_attn_layer_norm:
|
1067 |
+
approximation_function: NONE
|
1068 |
+
bias_format: SAME
|
1069 |
+
input_format: SAME
|
1070 |
+
instance: LayerNorm
|
1071 |
+
output_format: SAME
|
1072 |
+
weight_format: SAME
|
configs/BASIC.yaml
ADDED
@@ -0,0 +1,1072 @@
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|
1 |
+
model:
|
2 |
+
lm_head:
|
3 |
+
accum_format: SAME
|
4 |
+
approximation_function: NONE
|
5 |
+
input_format: SAME
|
6 |
+
instance: Linear
|
7 |
+
output_format: SAME
|
8 |
+
weight_format: SAME
|
9 |
+
weight_sparseness: DENSE
|
10 |
+
model.decoder.final_layer_norm:
|
11 |
+
approximation_function: NONE
|
12 |
+
bias_format: SAME
|
13 |
+
input_format: SAME
|
14 |
+
instance: LayerNorm
|
15 |
+
output_format: SAME
|
16 |
+
weight_format: SAME
|
17 |
+
model.decoder.layers.0.activation_fn:
|
18 |
+
approximation_function: NONE
|
19 |
+
input_format: SAME
|
20 |
+
instance: ReLU
|
21 |
+
output_format: SAME
|
22 |
+
model.decoder.layers.0.dropout:
|
23 |
+
approximation_function: NONE
|
24 |
+
input_format: SAME
|
25 |
+
instance: Dropout
|
26 |
+
output_format: SAME
|
27 |
+
model.decoder.layers.0.fc1:
|
28 |
+
accum_format: SAME
|
29 |
+
approximation_function: NONE
|
30 |
+
bias_format: SAME
|
31 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
32 |
+
instance: Linear
|
33 |
+
output_format: SAME
|
34 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
35 |
+
weight_sparseness: DENSE
|
36 |
+
model.decoder.layers.0.fc2:
|
37 |
+
accum_format: SAME
|
38 |
+
approximation_function: NONE
|
39 |
+
bias_format: SAME
|
40 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
41 |
+
instance: Linear
|
42 |
+
output_format: SAME
|
43 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
44 |
+
weight_sparseness: DENSE
|
45 |
+
model.decoder.layers.0.final_layer_norm:
|
46 |
+
approximation_function: NONE
|
47 |
+
bias_format: SAME
|
48 |
+
input_format: SAME
|
49 |
+
instance: LayerNorm
|
50 |
+
output_format: SAME
|
51 |
+
weight_format: SAME
|
52 |
+
model.decoder.layers.0.self_attn.dropout:
|
53 |
+
approximation_function: NONE
|
54 |
+
input_format: SAME
|
55 |
+
instance: Dropout
|
56 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
57 |
+
model.decoder.layers.0.self_attn.k_proj:
|
58 |
+
accum_format: SAME
|
59 |
+
approximation_function: NONE
|
60 |
+
bias_format: SAME
|
61 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
62 |
+
instance: Linear
|
63 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
64 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
65 |
+
weight_sparseness: DENSE
|
66 |
+
model.decoder.layers.0.self_attn.out_proj:
|
67 |
+
accum_format: SAME
|
68 |
+
approximation_function: NONE
|
69 |
+
bias_format: SAME
|
70 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
71 |
+
instance: Linear
|
72 |
+
output_format: SAME
|
73 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
74 |
+
weight_sparseness: DENSE
|
75 |
+
model.decoder.layers.0.self_attn.q_proj:
|
76 |
+
accum_format: SAME
|
77 |
+
approximation_function: NONE
|
78 |
+
bias_format: SAME
|
79 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
80 |
+
instance: Linear
|
81 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
82 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
83 |
+
weight_sparseness: DENSE
|
84 |
+
model.decoder.layers.0.self_attn.softmax:
|
85 |
+
approximation_function: NONE
|
86 |
+
input_format: SAME
|
87 |
+
instance: Softmax
|
88 |
+
output_format: SAME
|
89 |
+
model.decoder.layers.0.self_attn.v_proj:
|
90 |
+
accum_format: SAME
|
91 |
+
approximation_function: NONE
|
92 |
+
bias_format: SAME
|
93 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
94 |
+
instance: Linear
|
95 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
96 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
97 |
+
weight_sparseness: DENSE
|
98 |
+
model.decoder.layers.0.self_attn_layer_norm:
|
99 |
+
approximation_function: NONE
|
100 |
+
bias_format: SAME
|
101 |
+
input_format: SAME
|
102 |
+
instance: LayerNorm
|
103 |
+
output_format: SAME
|
104 |
+
weight_format: SAME
|
105 |
+
model.decoder.layers.1.activation_fn:
|
106 |
+
approximation_function: NONE
|
107 |
+
input_format: SAME
|
108 |
+
instance: ReLU
|
109 |
+
output_format: SAME
|
110 |
+
model.decoder.layers.1.dropout:
|
111 |
+
approximation_function: NONE
|
112 |
+
input_format: SAME
|
113 |
+
instance: Dropout
|
114 |
+
output_format: SAME
|
115 |
+
model.decoder.layers.1.fc1:
|
116 |
+
accum_format: SAME
|
117 |
+
approximation_function: NONE
|
118 |
+
bias_format: SAME
|
119 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
120 |
+
instance: Linear
|
121 |
+
output_format: SAME
|
122 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
123 |
+
weight_sparseness: DENSE
|
124 |
+
model.decoder.layers.1.fc2:
|
125 |
+
accum_format: SAME
|
126 |
+
approximation_function: NONE
|
127 |
+
bias_format: SAME
|
128 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
129 |
+
instance: Linear
|
130 |
+
output_format: SAME
|
131 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
132 |
+
weight_sparseness: DENSE
|
133 |
+
model.decoder.layers.1.final_layer_norm:
|
134 |
+
approximation_function: NONE
|
135 |
+
bias_format: SAME
|
136 |
+
input_format: SAME
|
137 |
+
instance: LayerNorm
|
138 |
+
output_format: SAME
|
139 |
+
weight_format: SAME
|
140 |
+
model.decoder.layers.1.self_attn.dropout:
|
141 |
+
approximation_function: NONE
|
142 |
+
input_format: SAME
|
143 |
+
instance: Dropout
|
144 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
145 |
+
model.decoder.layers.1.self_attn.k_proj:
|
146 |
+
accum_format: SAME
|
147 |
+
approximation_function: NONE
|
148 |
+
bias_format: SAME
|
149 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
150 |
+
instance: Linear
|
151 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
152 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
153 |
+
weight_sparseness: DENSE
|
154 |
+
model.decoder.layers.1.self_attn.out_proj:
|
155 |
+
accum_format: SAME
|
156 |
+
approximation_function: NONE
|
157 |
+
bias_format: SAME
|
158 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
159 |
+
instance: Linear
|
160 |
+
output_format: SAME
|
161 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
162 |
+
weight_sparseness: DENSE
|
163 |
+
model.decoder.layers.1.self_attn.q_proj:
|
164 |
+
accum_format: SAME
|
165 |
+
approximation_function: NONE
|
166 |
+
bias_format: SAME
|
167 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
168 |
+
instance: Linear
|
169 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
170 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
171 |
+
weight_sparseness: DENSE
|
172 |
+
model.decoder.layers.1.self_attn.softmax:
|
173 |
+
approximation_function: NONE
|
174 |
+
input_format: SAME
|
175 |
+
instance: Softmax
|
176 |
+
output_format: SAME
|
177 |
+
model.decoder.layers.1.self_attn.v_proj:
|
178 |
+
accum_format: SAME
|
179 |
+
approximation_function: NONE
|
180 |
+
bias_format: SAME
|
181 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
182 |
+
instance: Linear
|
183 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
184 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
185 |
+
weight_sparseness: DENSE
|
186 |
+
model.decoder.layers.1.self_attn_layer_norm:
|
187 |
+
approximation_function: NONE
|
188 |
+
bias_format: SAME
|
189 |
+
input_format: SAME
|
190 |
+
instance: LayerNorm
|
191 |
+
output_format: SAME
|
192 |
+
weight_format: SAME
|
193 |
+
model.decoder.layers.10.activation_fn:
|
194 |
+
approximation_function: NONE
|
195 |
+
input_format: SAME
|
196 |
+
instance: ReLU
|
197 |
+
output_format: SAME
|
198 |
+
model.decoder.layers.10.dropout:
|
199 |
+
approximation_function: NONE
|
200 |
+
input_format: SAME
|
201 |
+
instance: Dropout
|
202 |
+
output_format: SAME
|
203 |
+
model.decoder.layers.10.fc1:
|
204 |
+
accum_format: SAME
|
205 |
+
approximation_function: NONE
|
206 |
+
bias_format: SAME
|
207 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
208 |
+
instance: Linear
|
209 |
+
output_format: SAME
|
210 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
211 |
+
weight_sparseness: DENSE
|
212 |
+
model.decoder.layers.10.fc2:
|
213 |
+
accum_format: SAME
|
214 |
+
approximation_function: NONE
|
215 |
+
bias_format: SAME
|
216 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
217 |
+
instance: Linear
|
218 |
+
output_format: SAME
|
219 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
220 |
+
weight_sparseness: DENSE
|
221 |
+
model.decoder.layers.10.final_layer_norm:
|
222 |
+
approximation_function: NONE
|
223 |
+
bias_format: SAME
|
224 |
+
input_format: SAME
|
225 |
+
instance: LayerNorm
|
226 |
+
output_format: SAME
|
227 |
+
weight_format: SAME
|
228 |
+
model.decoder.layers.10.self_attn.dropout:
|
229 |
+
approximation_function: NONE
|
230 |
+
input_format: SAME
|
231 |
+
instance: Dropout
|
232 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
233 |
+
model.decoder.layers.10.self_attn.k_proj:
|
234 |
+
accum_format: SAME
|
235 |
+
approximation_function: NONE
|
236 |
+
bias_format: SAME
|
237 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
238 |
+
instance: Linear
|
239 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
240 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
241 |
+
weight_sparseness: DENSE
|
242 |
+
model.decoder.layers.10.self_attn.out_proj:
|
243 |
+
accum_format: SAME
|
244 |
+
approximation_function: NONE
|
245 |
+
bias_format: SAME
|
246 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
247 |
+
instance: Linear
|
248 |
+
output_format: SAME
|
249 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
250 |
+
weight_sparseness: DENSE
|
251 |
+
model.decoder.layers.10.self_attn.q_proj:
|
252 |
+
accum_format: SAME
|
253 |
+
approximation_function: NONE
|
254 |
+
bias_format: SAME
|
255 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
256 |
+
instance: Linear
|
257 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
258 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
259 |
+
weight_sparseness: DENSE
|
260 |
+
model.decoder.layers.10.self_attn.softmax:
|
261 |
+
approximation_function: NONE
|
262 |
+
input_format: SAME
|
263 |
+
instance: Softmax
|
264 |
+
output_format: SAME
|
265 |
+
model.decoder.layers.10.self_attn.v_proj:
|
266 |
+
accum_format: SAME
|
267 |
+
approximation_function: NONE
|
268 |
+
bias_format: SAME
|
269 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
270 |
+
instance: Linear
|
271 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
272 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
273 |
+
weight_sparseness: DENSE
|
274 |
+
model.decoder.layers.10.self_attn_layer_norm:
|
275 |
+
approximation_function: NONE
|
276 |
+
bias_format: SAME
|
277 |
+
input_format: SAME
|
278 |
+
instance: LayerNorm
|
279 |
+
output_format: SAME
|
280 |
+
weight_format: SAME
|
281 |
+
model.decoder.layers.11.activation_fn:
|
282 |
+
approximation_function: NONE
|
283 |
+
input_format: SAME
|
284 |
+
instance: ReLU
|
285 |
+
output_format: SAME
|
286 |
+
model.decoder.layers.11.dropout:
|
287 |
+
approximation_function: NONE
|
288 |
+
input_format: SAME
|
289 |
+
instance: Dropout
|
290 |
+
output_format: SAME
|
291 |
+
model.decoder.layers.11.fc1:
|
292 |
+
accum_format: SAME
|
293 |
+
approximation_function: NONE
|
294 |
+
bias_format: SAME
|
295 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
296 |
+
instance: Linear
|
297 |
+
output_format: SAME
|
298 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
299 |
+
weight_sparseness: DENSE
|
300 |
+
model.decoder.layers.11.fc2:
|
301 |
+
accum_format: SAME
|
302 |
+
approximation_function: NONE
|
303 |
+
bias_format: SAME
|
304 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
305 |
+
instance: Linear
|
306 |
+
output_format: SAME
|
307 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
308 |
+
weight_sparseness: DENSE
|
309 |
+
model.decoder.layers.11.final_layer_norm:
|
310 |
+
approximation_function: NONE
|
311 |
+
bias_format: SAME
|
312 |
+
input_format: SAME
|
313 |
+
instance: LayerNorm
|
314 |
+
output_format: SAME
|
315 |
+
weight_format: SAME
|
316 |
+
model.decoder.layers.11.self_attn.dropout:
|
317 |
+
approximation_function: NONE
|
318 |
+
input_format: SAME
|
319 |
+
instance: Dropout
|
320 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
321 |
+
model.decoder.layers.11.self_attn.k_proj:
|
322 |
+
accum_format: SAME
|
323 |
+
approximation_function: NONE
|
324 |
+
bias_format: SAME
|
325 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
326 |
+
instance: Linear
|
327 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
328 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
329 |
+
weight_sparseness: DENSE
|
330 |
+
model.decoder.layers.11.self_attn.out_proj:
|
331 |
+
accum_format: SAME
|
332 |
+
approximation_function: NONE
|
333 |
+
bias_format: SAME
|
334 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
335 |
+
instance: Linear
|
336 |
+
output_format: SAME
|
337 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
338 |
+
weight_sparseness: DENSE
|
339 |
+
model.decoder.layers.11.self_attn.q_proj:
|
340 |
+
accum_format: SAME
|
341 |
+
approximation_function: NONE
|
342 |
+
bias_format: SAME
|
343 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
344 |
+
instance: Linear
|
345 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
346 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
347 |
+
weight_sparseness: DENSE
|
348 |
+
model.decoder.layers.11.self_attn.softmax:
|
349 |
+
approximation_function: NONE
|
350 |
+
input_format: SAME
|
351 |
+
instance: Softmax
|
352 |
+
output_format: SAME
|
353 |
+
model.decoder.layers.11.self_attn.v_proj:
|
354 |
+
accum_format: SAME
|
355 |
+
approximation_function: NONE
|
356 |
+
bias_format: SAME
|
357 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
358 |
+
instance: Linear
|
359 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
360 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
361 |
+
weight_sparseness: DENSE
|
362 |
+
model.decoder.layers.11.self_attn_layer_norm:
|
363 |
+
approximation_function: NONE
|
364 |
+
bias_format: SAME
|
365 |
+
input_format: SAME
|
366 |
+
instance: LayerNorm
|
367 |
+
output_format: SAME
|
368 |
+
weight_format: SAME
|
369 |
+
model.decoder.layers.2.activation_fn:
|
370 |
+
approximation_function: NONE
|
371 |
+
input_format: SAME
|
372 |
+
instance: ReLU
|
373 |
+
output_format: SAME
|
374 |
+
model.decoder.layers.2.dropout:
|
375 |
+
approximation_function: NONE
|
376 |
+
input_format: SAME
|
377 |
+
instance: Dropout
|
378 |
+
output_format: SAME
|
379 |
+
model.decoder.layers.2.fc1:
|
380 |
+
accum_format: SAME
|
381 |
+
approximation_function: NONE
|
382 |
+
bias_format: SAME
|
383 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
384 |
+
instance: Linear
|
385 |
+
output_format: SAME
|
386 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
387 |
+
weight_sparseness: DENSE
|
388 |
+
model.decoder.layers.2.fc2:
|
389 |
+
accum_format: SAME
|
390 |
+
approximation_function: NONE
|
391 |
+
bias_format: SAME
|
392 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
393 |
+
instance: Linear
|
394 |
+
output_format: SAME
|
395 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
396 |
+
weight_sparseness: DENSE
|
397 |
+
model.decoder.layers.2.final_layer_norm:
|
398 |
+
approximation_function: NONE
|
399 |
+
bias_format: SAME
|
400 |
+
input_format: SAME
|
401 |
+
instance: LayerNorm
|
402 |
+
output_format: SAME
|
403 |
+
weight_format: SAME
|
404 |
+
model.decoder.layers.2.self_attn.dropout:
|
405 |
+
approximation_function: NONE
|
406 |
+
input_format: SAME
|
407 |
+
instance: Dropout
|
408 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
409 |
+
model.decoder.layers.2.self_attn.k_proj:
|
410 |
+
accum_format: SAME
|
411 |
+
approximation_function: NONE
|
412 |
+
bias_format: SAME
|
413 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
414 |
+
instance: Linear
|
415 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
416 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
417 |
+
weight_sparseness: DENSE
|
418 |
+
model.decoder.layers.2.self_attn.out_proj:
|
419 |
+
accum_format: SAME
|
420 |
+
approximation_function: NONE
|
421 |
+
bias_format: SAME
|
422 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
423 |
+
instance: Linear
|
424 |
+
output_format: SAME
|
425 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
426 |
+
weight_sparseness: DENSE
|
427 |
+
model.decoder.layers.2.self_attn.q_proj:
|
428 |
+
accum_format: SAME
|
429 |
+
approximation_function: NONE
|
430 |
+
bias_format: SAME
|
431 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
432 |
+
instance: Linear
|
433 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
434 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
435 |
+
weight_sparseness: DENSE
|
436 |
+
model.decoder.layers.2.self_attn.softmax:
|
437 |
+
approximation_function: NONE
|
438 |
+
input_format: SAME
|
439 |
+
instance: Softmax
|
440 |
+
output_format: SAME
|
441 |
+
model.decoder.layers.2.self_attn.v_proj:
|
442 |
+
accum_format: SAME
|
443 |
+
approximation_function: NONE
|
444 |
+
bias_format: SAME
|
445 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
446 |
+
instance: Linear
|
447 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
448 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
449 |
+
weight_sparseness: DENSE
|
450 |
+
model.decoder.layers.2.self_attn_layer_norm:
|
451 |
+
approximation_function: NONE
|
452 |
+
bias_format: SAME
|
453 |
+
input_format: SAME
|
454 |
+
instance: LayerNorm
|
455 |
+
output_format: SAME
|
456 |
+
weight_format: SAME
|
457 |
+
model.decoder.layers.3.activation_fn:
|
458 |
+
approximation_function: NONE
|
459 |
+
input_format: SAME
|
460 |
+
instance: ReLU
|
461 |
+
output_format: SAME
|
462 |
+
model.decoder.layers.3.dropout:
|
463 |
+
approximation_function: NONE
|
464 |
+
input_format: SAME
|
465 |
+
instance: Dropout
|
466 |
+
output_format: SAME
|
467 |
+
model.decoder.layers.3.fc1:
|
468 |
+
accum_format: SAME
|
469 |
+
approximation_function: NONE
|
470 |
+
bias_format: SAME
|
471 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
472 |
+
instance: Linear
|
473 |
+
output_format: SAME
|
474 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
475 |
+
weight_sparseness: DENSE
|
476 |
+
model.decoder.layers.3.fc2:
|
477 |
+
accum_format: SAME
|
478 |
+
approximation_function: NONE
|
479 |
+
bias_format: SAME
|
480 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
481 |
+
instance: Linear
|
482 |
+
output_format: SAME
|
483 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
484 |
+
weight_sparseness: DENSE
|
485 |
+
model.decoder.layers.3.final_layer_norm:
|
486 |
+
approximation_function: NONE
|
487 |
+
bias_format: SAME
|
488 |
+
input_format: SAME
|
489 |
+
instance: LayerNorm
|
490 |
+
output_format: SAME
|
491 |
+
weight_format: SAME
|
492 |
+
model.decoder.layers.3.self_attn.dropout:
|
493 |
+
approximation_function: NONE
|
494 |
+
input_format: SAME
|
495 |
+
instance: Dropout
|
496 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
497 |
+
model.decoder.layers.3.self_attn.k_proj:
|
498 |
+
accum_format: SAME
|
499 |
+
approximation_function: NONE
|
500 |
+
bias_format: SAME
|
501 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
502 |
+
instance: Linear
|
503 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
504 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
505 |
+
weight_sparseness: DENSE
|
506 |
+
model.decoder.layers.3.self_attn.out_proj:
|
507 |
+
accum_format: SAME
|
508 |
+
approximation_function: NONE
|
509 |
+
bias_format: SAME
|
510 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
511 |
+
instance: Linear
|
512 |
+
output_format: SAME
|
513 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
514 |
+
weight_sparseness: DENSE
|
515 |
+
model.decoder.layers.3.self_attn.q_proj:
|
516 |
+
accum_format: SAME
|
517 |
+
approximation_function: NONE
|
518 |
+
bias_format: SAME
|
519 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
520 |
+
instance: Linear
|
521 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
522 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
523 |
+
weight_sparseness: DENSE
|
524 |
+
model.decoder.layers.3.self_attn.softmax:
|
525 |
+
approximation_function: NONE
|
526 |
+
input_format: SAME
|
527 |
+
instance: Softmax
|
528 |
+
output_format: SAME
|
529 |
+
model.decoder.layers.3.self_attn.v_proj:
|
530 |
+
accum_format: SAME
|
531 |
+
approximation_function: NONE
|
532 |
+
bias_format: SAME
|
533 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
534 |
+
instance: Linear
|
535 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
536 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
537 |
+
weight_sparseness: DENSE
|
538 |
+
model.decoder.layers.3.self_attn_layer_norm:
|
539 |
+
approximation_function: NONE
|
540 |
+
bias_format: SAME
|
541 |
+
input_format: SAME
|
542 |
+
instance: LayerNorm
|
543 |
+
output_format: SAME
|
544 |
+
weight_format: SAME
|
545 |
+
model.decoder.layers.4.activation_fn:
|
546 |
+
approximation_function: NONE
|
547 |
+
input_format: SAME
|
548 |
+
instance: ReLU
|
549 |
+
output_format: SAME
|
550 |
+
model.decoder.layers.4.dropout:
|
551 |
+
approximation_function: NONE
|
552 |
+
input_format: SAME
|
553 |
+
instance: Dropout
|
554 |
+
output_format: SAME
|
555 |
+
model.decoder.layers.4.fc1:
|
556 |
+
accum_format: SAME
|
557 |
+
approximation_function: NONE
|
558 |
+
bias_format: SAME
|
559 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
560 |
+
instance: Linear
|
561 |
+
output_format: SAME
|
562 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
563 |
+
weight_sparseness: DENSE
|
564 |
+
model.decoder.layers.4.fc2:
|
565 |
+
accum_format: SAME
|
566 |
+
approximation_function: NONE
|
567 |
+
bias_format: SAME
|
568 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
569 |
+
instance: Linear
|
570 |
+
output_format: SAME
|
571 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
572 |
+
weight_sparseness: DENSE
|
573 |
+
model.decoder.layers.4.final_layer_norm:
|
574 |
+
approximation_function: NONE
|
575 |
+
bias_format: SAME
|
576 |
+
input_format: SAME
|
577 |
+
instance: LayerNorm
|
578 |
+
output_format: SAME
|
579 |
+
weight_format: SAME
|
580 |
+
model.decoder.layers.4.self_attn.dropout:
|
581 |
+
approximation_function: NONE
|
582 |
+
input_format: SAME
|
583 |
+
instance: Dropout
|
584 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
585 |
+
model.decoder.layers.4.self_attn.k_proj:
|
586 |
+
accum_format: SAME
|
587 |
+
approximation_function: NONE
|
588 |
+
bias_format: SAME
|
589 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
590 |
+
instance: Linear
|
591 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
592 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
593 |
+
weight_sparseness: DENSE
|
594 |
+
model.decoder.layers.4.self_attn.out_proj:
|
595 |
+
accum_format: SAME
|
596 |
+
approximation_function: NONE
|
597 |
+
bias_format: SAME
|
598 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
599 |
+
instance: Linear
|
600 |
+
output_format: SAME
|
601 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
602 |
+
weight_sparseness: DENSE
|
603 |
+
model.decoder.layers.4.self_attn.q_proj:
|
604 |
+
accum_format: SAME
|
605 |
+
approximation_function: NONE
|
606 |
+
bias_format: SAME
|
607 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
608 |
+
instance: Linear
|
609 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
610 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
611 |
+
weight_sparseness: DENSE
|
612 |
+
model.decoder.layers.4.self_attn.softmax:
|
613 |
+
approximation_function: NONE
|
614 |
+
input_format: SAME
|
615 |
+
instance: Softmax
|
616 |
+
output_format: SAME
|
617 |
+
model.decoder.layers.4.self_attn.v_proj:
|
618 |
+
accum_format: SAME
|
619 |
+
approximation_function: NONE
|
620 |
+
bias_format: SAME
|
621 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
622 |
+
instance: Linear
|
623 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
624 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
625 |
+
weight_sparseness: DENSE
|
626 |
+
model.decoder.layers.4.self_attn_layer_norm:
|
627 |
+
approximation_function: NONE
|
628 |
+
bias_format: SAME
|
629 |
+
input_format: SAME
|
630 |
+
instance: LayerNorm
|
631 |
+
output_format: SAME
|
632 |
+
weight_format: SAME
|
633 |
+
model.decoder.layers.5.activation_fn:
|
634 |
+
approximation_function: NONE
|
635 |
+
input_format: SAME
|
636 |
+
instance: ReLU
|
637 |
+
output_format: SAME
|
638 |
+
model.decoder.layers.5.dropout:
|
639 |
+
approximation_function: NONE
|
640 |
+
input_format: SAME
|
641 |
+
instance: Dropout
|
642 |
+
output_format: SAME
|
643 |
+
model.decoder.layers.5.fc1:
|
644 |
+
accum_format: SAME
|
645 |
+
approximation_function: NONE
|
646 |
+
bias_format: SAME
|
647 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
648 |
+
instance: Linear
|
649 |
+
output_format: SAME
|
650 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
651 |
+
weight_sparseness: DENSE
|
652 |
+
model.decoder.layers.5.fc2:
|
653 |
+
accum_format: SAME
|
654 |
+
approximation_function: NONE
|
655 |
+
bias_format: SAME
|
656 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
657 |
+
instance: Linear
|
658 |
+
output_format: SAME
|
659 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
660 |
+
weight_sparseness: DENSE
|
661 |
+
model.decoder.layers.5.final_layer_norm:
|
662 |
+
approximation_function: NONE
|
663 |
+
bias_format: SAME
|
664 |
+
input_format: SAME
|
665 |
+
instance: LayerNorm
|
666 |
+
output_format: SAME
|
667 |
+
weight_format: SAME
|
668 |
+
model.decoder.layers.5.self_attn.dropout:
|
669 |
+
approximation_function: NONE
|
670 |
+
input_format: SAME
|
671 |
+
instance: Dropout
|
672 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
673 |
+
model.decoder.layers.5.self_attn.k_proj:
|
674 |
+
accum_format: SAME
|
675 |
+
approximation_function: NONE
|
676 |
+
bias_format: SAME
|
677 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
678 |
+
instance: Linear
|
679 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
680 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
681 |
+
weight_sparseness: DENSE
|
682 |
+
model.decoder.layers.5.self_attn.out_proj:
|
683 |
+
accum_format: SAME
|
684 |
+
approximation_function: NONE
|
685 |
+
bias_format: SAME
|
686 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
687 |
+
instance: Linear
|
688 |
+
output_format: SAME
|
689 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
690 |
+
weight_sparseness: DENSE
|
691 |
+
model.decoder.layers.5.self_attn.q_proj:
|
692 |
+
accum_format: SAME
|
693 |
+
approximation_function: NONE
|
694 |
+
bias_format: SAME
|
695 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
696 |
+
instance: Linear
|
697 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
698 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
699 |
+
weight_sparseness: DENSE
|
700 |
+
model.decoder.layers.5.self_attn.softmax:
|
701 |
+
approximation_function: NONE
|
702 |
+
input_format: SAME
|
703 |
+
instance: Softmax
|
704 |
+
output_format: SAME
|
705 |
+
model.decoder.layers.5.self_attn.v_proj:
|
706 |
+
accum_format: SAME
|
707 |
+
approximation_function: NONE
|
708 |
+
bias_format: SAME
|
709 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
710 |
+
instance: Linear
|
711 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
712 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
713 |
+
weight_sparseness: DENSE
|
714 |
+
model.decoder.layers.5.self_attn_layer_norm:
|
715 |
+
approximation_function: NONE
|
716 |
+
bias_format: SAME
|
717 |
+
input_format: SAME
|
718 |
+
instance: LayerNorm
|
719 |
+
output_format: SAME
|
720 |
+
weight_format: SAME
|
721 |
+
model.decoder.layers.6.activation_fn:
|
722 |
+
approximation_function: NONE
|
723 |
+
input_format: SAME
|
724 |
+
instance: ReLU
|
725 |
+
output_format: SAME
|
726 |
+
model.decoder.layers.6.dropout:
|
727 |
+
approximation_function: NONE
|
728 |
+
input_format: SAME
|
729 |
+
instance: Dropout
|
730 |
+
output_format: SAME
|
731 |
+
model.decoder.layers.6.fc1:
|
732 |
+
accum_format: SAME
|
733 |
+
approximation_function: NONE
|
734 |
+
bias_format: SAME
|
735 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
736 |
+
instance: Linear
|
737 |
+
output_format: SAME
|
738 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
739 |
+
weight_sparseness: DENSE
|
740 |
+
model.decoder.layers.6.fc2:
|
741 |
+
accum_format: SAME
|
742 |
+
approximation_function: NONE
|
743 |
+
bias_format: SAME
|
744 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
745 |
+
instance: Linear
|
746 |
+
output_format: SAME
|
747 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
748 |
+
weight_sparseness: DENSE
|
749 |
+
model.decoder.layers.6.final_layer_norm:
|
750 |
+
approximation_function: NONE
|
751 |
+
bias_format: SAME
|
752 |
+
input_format: SAME
|
753 |
+
instance: LayerNorm
|
754 |
+
output_format: SAME
|
755 |
+
weight_format: SAME
|
756 |
+
model.decoder.layers.6.self_attn.dropout:
|
757 |
+
approximation_function: NONE
|
758 |
+
input_format: SAME
|
759 |
+
instance: Dropout
|
760 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
761 |
+
model.decoder.layers.6.self_attn.k_proj:
|
762 |
+
accum_format: SAME
|
763 |
+
approximation_function: NONE
|
764 |
+
bias_format: SAME
|
765 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
766 |
+
instance: Linear
|
767 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
768 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
769 |
+
weight_sparseness: DENSE
|
770 |
+
model.decoder.layers.6.self_attn.out_proj:
|
771 |
+
accum_format: SAME
|
772 |
+
approximation_function: NONE
|
773 |
+
bias_format: SAME
|
774 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
775 |
+
instance: Linear
|
776 |
+
output_format: SAME
|
777 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
778 |
+
weight_sparseness: DENSE
|
779 |
+
model.decoder.layers.6.self_attn.q_proj:
|
780 |
+
accum_format: SAME
|
781 |
+
approximation_function: NONE
|
782 |
+
bias_format: SAME
|
783 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
784 |
+
instance: Linear
|
785 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
786 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
787 |
+
weight_sparseness: DENSE
|
788 |
+
model.decoder.layers.6.self_attn.softmax:
|
789 |
+
approximation_function: NONE
|
790 |
+
input_format: SAME
|
791 |
+
instance: Softmax
|
792 |
+
output_format: SAME
|
793 |
+
model.decoder.layers.6.self_attn.v_proj:
|
794 |
+
accum_format: SAME
|
795 |
+
approximation_function: NONE
|
796 |
+
bias_format: SAME
|
797 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
798 |
+
instance: Linear
|
799 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
800 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
801 |
+
weight_sparseness: DENSE
|
802 |
+
model.decoder.layers.6.self_attn_layer_norm:
|
803 |
+
approximation_function: NONE
|
804 |
+
bias_format: SAME
|
805 |
+
input_format: SAME
|
806 |
+
instance: LayerNorm
|
807 |
+
output_format: SAME
|
808 |
+
weight_format: SAME
|
809 |
+
model.decoder.layers.7.activation_fn:
|
810 |
+
approximation_function: NONE
|
811 |
+
input_format: SAME
|
812 |
+
instance: ReLU
|
813 |
+
output_format: SAME
|
814 |
+
model.decoder.layers.7.dropout:
|
815 |
+
approximation_function: NONE
|
816 |
+
input_format: SAME
|
817 |
+
instance: Dropout
|
818 |
+
output_format: SAME
|
819 |
+
model.decoder.layers.7.fc1:
|
820 |
+
accum_format: SAME
|
821 |
+
approximation_function: NONE
|
822 |
+
bias_format: SAME
|
823 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
824 |
+
instance: Linear
|
825 |
+
output_format: SAME
|
826 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
827 |
+
weight_sparseness: DENSE
|
828 |
+
model.decoder.layers.7.fc2:
|
829 |
+
accum_format: SAME
|
830 |
+
approximation_function: NONE
|
831 |
+
bias_format: SAME
|
832 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
833 |
+
instance: Linear
|
834 |
+
output_format: SAME
|
835 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
836 |
+
weight_sparseness: DENSE
|
837 |
+
model.decoder.layers.7.final_layer_norm:
|
838 |
+
approximation_function: NONE
|
839 |
+
bias_format: SAME
|
840 |
+
input_format: SAME
|
841 |
+
instance: LayerNorm
|
842 |
+
output_format: SAME
|
843 |
+
weight_format: SAME
|
844 |
+
model.decoder.layers.7.self_attn.dropout:
|
845 |
+
approximation_function: NONE
|
846 |
+
input_format: SAME
|
847 |
+
instance: Dropout
|
848 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
849 |
+
model.decoder.layers.7.self_attn.k_proj:
|
850 |
+
accum_format: SAME
|
851 |
+
approximation_function: NONE
|
852 |
+
bias_format: SAME
|
853 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
854 |
+
instance: Linear
|
855 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
856 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
857 |
+
weight_sparseness: DENSE
|
858 |
+
model.decoder.layers.7.self_attn.out_proj:
|
859 |
+
accum_format: SAME
|
860 |
+
approximation_function: NONE
|
861 |
+
bias_format: SAME
|
862 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
863 |
+
instance: Linear
|
864 |
+
output_format: SAME
|
865 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
866 |
+
weight_sparseness: DENSE
|
867 |
+
model.decoder.layers.7.self_attn.q_proj:
|
868 |
+
accum_format: SAME
|
869 |
+
approximation_function: NONE
|
870 |
+
bias_format: SAME
|
871 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
872 |
+
instance: Linear
|
873 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
874 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
875 |
+
weight_sparseness: DENSE
|
876 |
+
model.decoder.layers.7.self_attn.softmax:
|
877 |
+
approximation_function: NONE
|
878 |
+
input_format: SAME
|
879 |
+
instance: Softmax
|
880 |
+
output_format: SAME
|
881 |
+
model.decoder.layers.7.self_attn.v_proj:
|
882 |
+
accum_format: SAME
|
883 |
+
approximation_function: NONE
|
884 |
+
bias_format: SAME
|
885 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
886 |
+
instance: Linear
|
887 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
888 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
889 |
+
weight_sparseness: DENSE
|
890 |
+
model.decoder.layers.7.self_attn_layer_norm:
|
891 |
+
approximation_function: NONE
|
892 |
+
bias_format: SAME
|
893 |
+
input_format: SAME
|
894 |
+
instance: LayerNorm
|
895 |
+
output_format: SAME
|
896 |
+
weight_format: SAME
|
897 |
+
model.decoder.layers.8.activation_fn:
|
898 |
+
approximation_function: NONE
|
899 |
+
input_format: SAME
|
900 |
+
instance: ReLU
|
901 |
+
output_format: SAME
|
902 |
+
model.decoder.layers.8.dropout:
|
903 |
+
approximation_function: NONE
|
904 |
+
input_format: SAME
|
905 |
+
instance: Dropout
|
906 |
+
output_format: SAME
|
907 |
+
model.decoder.layers.8.fc1:
|
908 |
+
accum_format: SAME
|
909 |
+
approximation_function: NONE
|
910 |
+
bias_format: SAME
|
911 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
912 |
+
instance: Linear
|
913 |
+
output_format: SAME
|
914 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
915 |
+
weight_sparseness: DENSE
|
916 |
+
model.decoder.layers.8.fc2:
|
917 |
+
accum_format: SAME
|
918 |
+
approximation_function: NONE
|
919 |
+
bias_format: SAME
|
920 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
921 |
+
instance: Linear
|
922 |
+
output_format: SAME
|
923 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
924 |
+
weight_sparseness: DENSE
|
925 |
+
model.decoder.layers.8.final_layer_norm:
|
926 |
+
approximation_function: NONE
|
927 |
+
bias_format: SAME
|
928 |
+
input_format: SAME
|
929 |
+
instance: LayerNorm
|
930 |
+
output_format: SAME
|
931 |
+
weight_format: SAME
|
932 |
+
model.decoder.layers.8.self_attn.dropout:
|
933 |
+
approximation_function: NONE
|
934 |
+
input_format: SAME
|
935 |
+
instance: Dropout
|
936 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
937 |
+
model.decoder.layers.8.self_attn.k_proj:
|
938 |
+
accum_format: SAME
|
939 |
+
approximation_function: NONE
|
940 |
+
bias_format: SAME
|
941 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
942 |
+
instance: Linear
|
943 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
944 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
945 |
+
weight_sparseness: DENSE
|
946 |
+
model.decoder.layers.8.self_attn.out_proj:
|
947 |
+
accum_format: SAME
|
948 |
+
approximation_function: NONE
|
949 |
+
bias_format: SAME
|
950 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
951 |
+
instance: Linear
|
952 |
+
output_format: SAME
|
953 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
954 |
+
weight_sparseness: DENSE
|
955 |
+
model.decoder.layers.8.self_attn.q_proj:
|
956 |
+
accum_format: SAME
|
957 |
+
approximation_function: NONE
|
958 |
+
bias_format: SAME
|
959 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
960 |
+
instance: Linear
|
961 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
962 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
963 |
+
weight_sparseness: DENSE
|
964 |
+
model.decoder.layers.8.self_attn.softmax:
|
965 |
+
approximation_function: NONE
|
966 |
+
input_format: SAME
|
967 |
+
instance: Softmax
|
968 |
+
output_format: SAME
|
969 |
+
model.decoder.layers.8.self_attn.v_proj:
|
970 |
+
accum_format: SAME
|
971 |
+
approximation_function: NONE
|
972 |
+
bias_format: SAME
|
973 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
974 |
+
instance: Linear
|
975 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
976 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
977 |
+
weight_sparseness: DENSE
|
978 |
+
model.decoder.layers.8.self_attn_layer_norm:
|
979 |
+
approximation_function: NONE
|
980 |
+
bias_format: SAME
|
981 |
+
input_format: SAME
|
982 |
+
instance: LayerNorm
|
983 |
+
output_format: SAME
|
984 |
+
weight_format: SAME
|
985 |
+
model.decoder.layers.9.activation_fn:
|
986 |
+
approximation_function: NONE
|
987 |
+
input_format: SAME
|
988 |
+
instance: ReLU
|
989 |
+
output_format: SAME
|
990 |
+
model.decoder.layers.9.dropout:
|
991 |
+
approximation_function: NONE
|
992 |
+
input_format: SAME
|
993 |
+
instance: Dropout
|
994 |
+
output_format: SAME
|
995 |
+
model.decoder.layers.9.fc1:
|
996 |
+
accum_format: SAME
|
997 |
+
approximation_function: NONE
|
998 |
+
bias_format: SAME
|
999 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
1000 |
+
instance: Linear
|
1001 |
+
output_format: SAME
|
1002 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
1003 |
+
weight_sparseness: DENSE
|
1004 |
+
model.decoder.layers.9.fc2:
|
1005 |
+
accum_format: SAME
|
1006 |
+
approximation_function: NONE
|
1007 |
+
bias_format: SAME
|
1008 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
1009 |
+
instance: Linear
|
1010 |
+
output_format: SAME
|
1011 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
1012 |
+
weight_sparseness: DENSE
|
1013 |
+
model.decoder.layers.9.final_layer_norm:
|
1014 |
+
approximation_function: NONE
|
1015 |
+
bias_format: SAME
|
1016 |
+
input_format: SAME
|
1017 |
+
instance: LayerNorm
|
1018 |
+
output_format: SAME
|
1019 |
+
weight_format: SAME
|
1020 |
+
model.decoder.layers.9.self_attn.dropout:
|
1021 |
+
approximation_function: NONE
|
1022 |
+
input_format: SAME
|
1023 |
+
instance: Dropout
|
1024 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
1025 |
+
model.decoder.layers.9.self_attn.k_proj:
|
1026 |
+
accum_format: SAME
|
1027 |
+
approximation_function: NONE
|
1028 |
+
bias_format: SAME
|
1029 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
1030 |
+
instance: Linear
|
1031 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
1032 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
1033 |
+
weight_sparseness: DENSE
|
1034 |
+
model.decoder.layers.9.self_attn.out_proj:
|
1035 |
+
accum_format: SAME
|
1036 |
+
approximation_function: NONE
|
1037 |
+
bias_format: SAME
|
1038 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
1039 |
+
instance: Linear
|
1040 |
+
output_format: SAME
|
1041 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
1042 |
+
weight_sparseness: DENSE
|
1043 |
+
model.decoder.layers.9.self_attn.q_proj:
|
1044 |
+
accum_format: SAME
|
1045 |
+
approximation_function: NONE
|
1046 |
+
bias_format: SAME
|
1047 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
1048 |
+
instance: Linear
|
1049 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
1050 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
1051 |
+
weight_sparseness: DENSE
|
1052 |
+
model.decoder.layers.9.self_attn.softmax:
|
1053 |
+
approximation_function: NONE
|
1054 |
+
input_format: SAME
|
1055 |
+
instance: Softmax
|
1056 |
+
output_format: SAME
|
1057 |
+
model.decoder.layers.9.self_attn.v_proj:
|
1058 |
+
accum_format: SAME
|
1059 |
+
approximation_function: NONE
|
1060 |
+
bias_format: SAME
|
1061 |
+
input_format: BFP[8|8]{64,-1}(SN)
|
1062 |
+
instance: Linear
|
1063 |
+
output_format: BFP[8|8]{64,-1}(SN)
|
1064 |
+
weight_format: BFP[8|8]{64,-1}(SN)
|
1065 |
+
weight_sparseness: DENSE
|
1066 |
+
model.decoder.layers.9.self_attn_layer_norm:
|
1067 |
+
approximation_function: NONE
|
1068 |
+
bias_format: SAME
|
1069 |
+
input_format: SAME
|
1070 |
+
instance: LayerNorm
|
1071 |
+
output_format: SAME
|
1072 |
+
weight_format: SAME
|