deq | [NeurIPS'19] Deep Equilibrium Models | Machine Learning library

Only a premium/business critical local readable replica can be redirected with ApplicationIntent. With Active geo-replication you choose between the two server names, and Auto-failiover groups adds "a stable connection endpoint and automatic geo-failover support in addition to geo-replication".

You should poke(false.B) the c.io.Ready signal before the last step.

Using a memoized array, instead of a state array mutated by useEffect, seems to work just fine (sandbox):

Based on the logs and live to debug it is concluded the performance is in line with the expected values of both SW and HW. Following are the reasons variation

1. QAT HW crypto is done on Xeon cascade lake cores
2. SW Crypto is run on corei7 11th gen platform
3. Core clocks on corei7 goes up to 5Ghz with turbo boost
4. HW crypto is run with CPU cores from remote NUMA
5. HW crypto is limited with memory controller to use with -n 4
6. HW crypto runs for a total of 30000000 and SW crypto is run for 10000000
7. HW crypto devices are 3 but lcores passed is 5 causing 2 lcores to share the same HW.
8. HW crypto is done over 3 VF hence total capacity should be summed up rather than individual results.

With these the right command to use is

HW: ./dpdk-test-crypto-perf --socket-mem 2048,1 --legacy-mem -l 4,6 -w 0000:3d:01.0 -- --buffer-sz 64,128,256,512,1024,2048 --optype cipher-then-auth --ptest throughput --auth-key-sz 64 --cipher-key-sz 16 --cipher-iv-sz 16 --auth-op generate --burst-sz 32 --total-ops 30000000 --silent --digest-sz 20 --auth-algo sha1-hmac --cipher-algo aes-cbc --cipher-op encrypt --devtype crypto_qat

SW: ./dpdk-test-crypto-perf --socket-mem 2048,1 --legacy-mem -l 4,6 --vdev crypto_aesni_mb_pmd_1 -a 0000:00:00.0 -- --buffer-sz 64,128,256,512,1024,2048 --optype cipher-then-auth --ptest throughput --auth-key-sz 64 --cipher-key-sz 16 --cipher-iv-sz 16 --auth-op generate --burst-sz 32 --total-ops 30000000 --silent --digest-sz 20 --auth-algo sha1-hmac --cipher-algo aes-cbc --cipher-op encrypt --devtype crypto_aesni_mb

for 64B on Xeon (3.1Ghz) we were able to get 3.2Gbps, while corei7 (5Ghz) with SW was able to get 4.2Gbps. with 2048B HW on Xeon were able to achieve 50Gbps while SW 19.2Gbps.

Note: in Xeon there are drops for enqueue and dequeue, which can be reduced with platform and BIOS settings further.

Does this mean that Dapper's QueryMultiple is running all queries multiple times?

No, you're misreading the DMVs.

sys.dm_exec_query_stats has one row per query, but sys.dm_exec_sql_text returns the whole batch (or stored procedure body), not an individual query. So you must use the statement_start_offset and statement_end_offset to extract the individual query.

Here's the example from the docs:

B should be [0,8, 7, 6, 10, 8, 5, 10, 16, 13]

Finding the minimum in a binary search tree is equivalent to following the left branch. In your implementation, you would save the last non-null value in a temporary variable and once you find a None, you simply return that value. Maximum is equivalently following the right branch. Add the following function to your BST implementation:

Continue reading your book. Chapter 7 is entitled "Abstract Types and Functors" and this should be a clue as to the reason for this type t notation you're seeing.

A very brief primer: functions map one value to another value. Functors do the same thing for modules.

Imagine we want to "build" a BinaryTree module that can store values of a particular type. We need to know the type, but also how to compare two values of that type. We can create a signature that reflects that data.

deque does not support a slice as an index, so to achieve the effect of lis[:] = new_list with a deque, you can clear it first before extending it: