ncnn is a high-performance neural network inference framework optimized for the mobile platform
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Updated
Aug 6, 2021 - C
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Unlike most other ISA designs, the RISC-V ISA is provided under open source licenses that do not require fees to use. A number of companies are offering or have announced RISC-V hardware, open source operating systems with RISC-V support are available and the instruction set is supported in several popular software toolchains.
Notable features of the RISC-V ISA include a load–store architecture, bit patterns to simplify the multiplexers in a CPU, IEEE 754 floating-point, a design that is architecturally neutral, and placing most-significant bits at a fixed location to speed sign extension. The instruction set is designed for a wide range of uses. The base instruction set has a fixed length of 32-bit naturally aligned instructions, and the ISA supports variable length extensions where each instruction could be an any number of 16-bit parcels in length. Subsets support small embedded systems, personal computers, supercomputers with vector processors, and warehouse-scale 19 inch rack-mounted parallel computers.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Capstone disassembly/disassembler framework: Core (Arm, Arm64, BPF, EVM, M68K, M680X, MOS65xx, Mips, PPC, RISCV, Sparc, SystemZ, TMS320C64x, Web Assembly, X86, X86_64, XCore) + bindings.
If this is not the case a page fault should be generated. Right now we generate an instruction access fault.
Summary:
A nice-to-have feature is the ability to enable and disable hardware features from the software.
Examples:
High-level thoughts:
An Agile RISC-V SoC Design Framework with in-order cores, out-of-order cores, accelerators, and more
Currently, J-Link probes that fail to open do not show up as inaccessible in the probe list. Instead, they just have their serial number and device identifier left blank.
Listing probes should instead yield Results, so that the calling code can act properly, by:
This is not strictly related to CV32E40P as the problem seems to be in fpnew, but did anybody verify the operation of CV32E40P with fpnew in verilator?
There is a coding-style in fpnew, which prevents verilator to work. But even if this problem is solved, the simulation is not running due to a deadlog in the div_sqrt unit. The same code runs with Questa/Modelsim without problems!?
It is hard
I have just recently installed RARS as a replacement for RVS and there doesn't seem to be the ability to display the hex and decimal value at the same time.
If there is already a way to do this apologies for the issue.
A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP
RISC-V emulator for CLI and Web written in Rust with WebAssembly. It supports xv6 and Linux (ongoing).
Self-hosting metacompiled Forth, bootstrapping from a few lines of C; targets Linux, Windows, ARM, RISC-V, 68000, PDP-11, asm.js.
RISC-V Supervisor Binary Interface (RISC-V SBI) implementation in Rust; runs on M-mode; good support for embedded Rust ecosystem
CKB's vm, based on open source RISC-V ISA
A compiler for ARM, X86, MSP430, xtensa and more implemented in pure Python
请问可以直接training tmfile出来吗? 因为tengine-convert-tool covert 会有error
tengine-lite library version: 1.4-dev

Get input tensor failed
或是有例子能training出下面tmfile 呢?
![Screenshot from 2021-05-27 07-01-46](https://user-images.githubusercontent.com/40915044/11