micropython/py/nlrthumb.c

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5.5 KiB
C
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/*
* This file is part of the MicroPython project, http://micropython.org/
*
* The MIT License (MIT)
*
* Copyright (c) 2013-2016 Damien P. George
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include "py/mpstate.h"
#if (!defined(MICROPY_NLR_SETJMP) || !MICROPY_NLR_SETJMP) && (defined(__thumb2__) || defined(__thumb__) || defined(__arm__))
#undef nlr_push
// We only need the functions here if we are on arm/thumb, and we are not
// using setjmp/longjmp.
//
// For reference, arm/thumb callee save regs are:
// r4-r11, r13=sp
__attribute__((naked)) unsigned int nlr_push(nlr_buf_t *nlr) {
__asm volatile (
"str r4, [r0, #12] \n" // store r4 into nlr_buf
"str r5, [r0, #16] \n" // store r5 into nlr_buf
"str r6, [r0, #20] \n" // store r6 into nlr_buf
"str r7, [r0, #24] \n" // store r7 into nlr_buf
#if defined(__ARM_ARCH_6M__)
"mov r1, r8 \n"
"str r1, [r0, #28] \n" // store r8 into nlr_buf
"mov r1, r9 \n"
"str r1, [r0, #32] \n" // store r9 into nlr_buf
"mov r1, r10 \n"
"str r1, [r0, #36] \n" // store r10 into nlr_buf
"mov r1, r11 \n"
"str r1, [r0, #40] \n" // store r11 into nlr_buf
"mov r1, r13 \n"
"str r1, [r0, #44] \n" // store r13=sp into nlr_buf
"mov r1, lr \n"
"str r1, [r0, #8] \n" // store lr into nlr_buf
#else
"str r8, [r0, #28] \n" // store r8 into nlr_buf
"str r9, [r0, #32] \n" // store r9 into nlr_buf
"str r10, [r0, #36] \n" // store r10 into nlr_buf
"str r11, [r0, #40] \n" // store r11 into nlr_buf
"str r13, [r0, #44] \n" // store r13=sp into nlr_buf
"str lr, [r0, #8] \n" // store lr into nlr_buf
#endif
#if defined(__ARM_ARCH_6M__)
"ldr r1, nlr_push_tail_var \n"
"bx r1 \n" // do the rest in C
".align 2 \n"
"nlr_push_tail_var: .word nlr_push_tail \n"
#else
"b nlr_push_tail \n" // do the rest in C
#endif
);
return 0; // needed to silence compiler warning
}
__attribute__((used)) unsigned int nlr_push_tail(nlr_buf_t *nlr) {
nlr_buf_t **top = &MP_STATE_THREAD(nlr_top);
nlr->prev = *top;
py: Introduce a Python stack for scoped allocation. This patch introduces the MICROPY_ENABLE_PYSTACK option (disabled by default) which enables a "Python stack" that allows to allocate and free memory in a scoped, or Last-In-First-Out (LIFO) way, similar to alloca(). A new memory allocation API is introduced along with this Py-stack. It includes both "local" and "nonlocal" LIFO allocation. Local allocation is intended to be equivalent to using alloca(), whereby the same function must free the memory. Nonlocal allocation is where another function may free the memory, so long as it's still LIFO. Follow-up patches will convert all uses of alloca() and VLA to the new scoped allocation API. The old behaviour (using alloca()) will still be available, but when MICROPY_ENABLE_PYSTACK is enabled then alloca() is no longer required or used. The benefits of enabling this option are (or will be once subsequent patches are made to convert alloca()/VLA): - Toolchains without alloca() can use this feature to obtain correct and efficient scoped memory allocation (compared to using the heap instead of alloca(), which is slower). - Even if alloca() is available, enabling the Py-stack gives slightly more efficient use of stack space when calling nested Python functions, due to the way that compilers implement alloca(). - Enabling the Py-stack with the stackless mode allows for even more efficient stack usage, as well as retaining high performance (because the heap is no longer used to build and destroy stackless code states). - With Py-stack and stackless enabled, Python-calling-Python is no longer recursive in the C mp_execute_bytecode function. The micropython.pystack_use() function is included to measure usage of the Python stack.
2017-11-26 12:28:40 +00:00
MP_NLR_SAVE_PYSTACK(nlr);
*top = nlr;
return 0; // normal return
}
void nlr_pop(void) {
nlr_buf_t **top = &MP_STATE_THREAD(nlr_top);
*top = (*top)->prev;
}
NORETURN __attribute__((naked)) void nlr_jump(void *val) {
nlr_buf_t **top_ptr = &MP_STATE_THREAD(nlr_top);
nlr_buf_t *top = *top_ptr;
if (top == NULL) {
nlr_jump_fail(val);
}
top->ret_val = val;
py: Introduce a Python stack for scoped allocation. This patch introduces the MICROPY_ENABLE_PYSTACK option (disabled by default) which enables a "Python stack" that allows to allocate and free memory in a scoped, or Last-In-First-Out (LIFO) way, similar to alloca(). A new memory allocation API is introduced along with this Py-stack. It includes both "local" and "nonlocal" LIFO allocation. Local allocation is intended to be equivalent to using alloca(), whereby the same function must free the memory. Nonlocal allocation is where another function may free the memory, so long as it's still LIFO. Follow-up patches will convert all uses of alloca() and VLA to the new scoped allocation API. The old behaviour (using alloca()) will still be available, but when MICROPY_ENABLE_PYSTACK is enabled then alloca() is no longer required or used. The benefits of enabling this option are (or will be once subsequent patches are made to convert alloca()/VLA): - Toolchains without alloca() can use this feature to obtain correct and efficient scoped memory allocation (compared to using the heap instead of alloca(), which is slower). - Even if alloca() is available, enabling the Py-stack gives slightly more efficient use of stack space when calling nested Python functions, due to the way that compilers implement alloca(). - Enabling the Py-stack with the stackless mode allows for even more efficient stack usage, as well as retaining high performance (because the heap is no longer used to build and destroy stackless code states). - With Py-stack and stackless enabled, Python-calling-Python is no longer recursive in the C mp_execute_bytecode function. The micropython.pystack_use() function is included to measure usage of the Python stack.
2017-11-26 12:28:40 +00:00
MP_NLR_RESTORE_PYSTACK(top);
*top_ptr = top->prev;
__asm volatile (
"mov r0, %0 \n" // r0 points to nlr_buf
"ldr r4, [r0, #12] \n" // load r4 from nlr_buf
"ldr r5, [r0, #16] \n" // load r5 from nlr_buf
"ldr r6, [r0, #20] \n" // load r6 from nlr_buf
"ldr r7, [r0, #24] \n" // load r7 from nlr_buf
#if defined(__ARM_ARCH_6M__)
"ldr r1, [r0, #28] \n" // load r8 from nlr_buf
"mov r8, r1 \n"
"ldr r1, [r0, #32] \n" // load r9 from nlr_buf
"mov r9, r1 \n"
"ldr r1, [r0, #36] \n" // load r10 from nlr_buf
"mov r10, r1 \n"
"ldr r1, [r0, #40] \n" // load r11 from nlr_buf
"mov r11, r1 \n"
"ldr r1, [r0, #44] \n" // load r13=sp from nlr_buf
"mov r13, r1 \n"
"ldr r1, [r0, #8] \n" // load lr from nlr_buf
"mov lr, r1 \n"
#else
"ldr r8, [r0, #28] \n" // load r8 from nlr_buf
"ldr r9, [r0, #32] \n" // load r9 from nlr_buf
"ldr r10, [r0, #36] \n" // load r10 from nlr_buf
"ldr r11, [r0, #40] \n" // load r11 from nlr_buf
"ldr r13, [r0, #44] \n" // load r13=sp from nlr_buf
"ldr lr, [r0, #8] \n" // load lr from nlr_buf
#endif
"movs r0, #1 \n" // return 1, non-local return
"bx lr \n" // return
: // output operands
: "r"(top) // input operands
: // clobbered registers
);
for (;;); // needed to silence compiler warning
}
#endif // (!defined(MICROPY_NLR_SETJMP) || !MICROPY_NLR_SETJMP) && (defined(__thumb2__) || defined(__thumb__) || defined(__arm__))