diff --git a/CHANGELOG.md b/CHANGELOG.md
index 6435199777e8e7ddc29b034a546e15b4fb471e67..09aba46af66e2afe07472a283433dc8e92b35d02 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -4,3 +4,4 @@
### Removed
* LLVM backend because it was not used much and not good integrated in pystencils.
+* OpenCL backend because it was not used much and not good integrated in pystencils.
diff --git a/doc/notebooks/02_tutorial_basic_kernels.ipynb b/doc/notebooks/02_tutorial_basic_kernels.ipynb
index d5541ea0c619d9ffd746f1b638f07ab0052e6f9a..413572375e075500898e146cc4c46a5dbb058f8c 100644
--- a/doc/notebooks/02_tutorial_basic_kernels.ipynb
+++ b/doc/notebooks/02_tutorial_basic_kernels.ipynb
@@ -46,8 +46,9 @@
"outputs": [
{
"data": {
+ "image/png": "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\n",
"text/latex": [
- "$$\\left [ grad_{x} \\leftarrow \\frac{{{src}_{E}}}{2} - \\frac{{{src}_{W}}}{2}, \\quad grad_{y} \\leftarrow \\frac{{{src}_{N}}}{2} - \\frac{{{src}_{S}}}{2}, \\quad {{dst}_{C}} \\leftarrow grad_{x} + grad_{y}\\right ]$$"
+ "$\\displaystyle \\left[ grad_{x} \\leftarrow \\frac{{src}_{(1,0)}}{2} - \\frac{{src}_{(-1,0)}}{2}, \\ grad_{y} \\leftarrow \\frac{{src}_{(0,1)}}{2} - \\frac{{src}_{(0,-1)}}{2}, \\ {dst}_{(0,0)} \\leftarrow grad_{x} + grad_{y}\\right]$"
],
"text/plain": [
"⎡ src_E src_W src_N src_S ⎤\n",
@@ -87,8 +88,9 @@
"outputs": [
{
"data": {
+ "image/png": "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\n",
"text/latex": [
- "$$\\left [ grad_{x} \\leftarrow \\frac{{{src}_{E}}}{2} - \\frac{{{src}_{W}}}{2}, \\quad grad_{y} \\leftarrow \\frac{{{src}_{N}}}{2} - \\frac{{{src}_{S}}}{2}, \\quad {{dst}_{C}} \\leftarrow grad_{x} + grad_{y}\\right ]$$"
+ "$\\displaystyle \\left[ grad_{x} \\leftarrow \\frac{{src}_{(1,0)}}{2} - \\frac{{src}_{(-1,0)}}{2}, \\ grad_{y} \\leftarrow \\frac{{src}_{(0,1)}}{2} - \\frac{{src}_{(0,-1)}}{2}, \\ {dst}_{(0,0)} \\leftarrow grad_{x} + grad_{y}\\right]$"
],
"text/plain": [
"⎡ src_E src_W src_N src_S ⎤\n",
@@ -128,8 +130,9 @@
"outputs": [
{
"data": {
+ "image/png": "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\n",
"text/latex": [
- "$${{src}_{E}} + \\begin{cases} 1.0 & \\text{for}\\: {{src}_{N}} > 0 \\\\0.0 & \\text{otherwise} \\end{cases}$$"
+ "$\\displaystyle {src}_{(1,0)} + \\begin{cases} 1.0 & \\text{for}\\: {src}_{(0,1)} > 0 \\\\0.0 & \\text{otherwise} \\end{cases}$"
],
"text/plain": [
" ⎛⎧1.0 for src_N > 0⎞\n",
@@ -160,8 +163,9 @@
"outputs": [
{
"data": {
+ "image/png": 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\n",
"text/latex": [
- "$$\\left [ grad_{x} \\leftarrow \\begin{cases} \\frac{{{src}_{E}}}{2} - \\frac{{{src}_{W}}}{2} & \\text{for}\\: {{src}_{W}} > 0 \\\\0.0 & \\text{otherwise} \\end{cases}\\right ]$$"
+ "$\\displaystyle \\left[ grad_{x} \\leftarrow \\begin{cases} \\frac{{src}_{(1,0)}}{2} - \\frac{{src}_{(-1,0)}}{2} & \\text{for}\\: {src}_{(-1,0)} > 0 \\\\0.0 & \\text{otherwise} \\end{cases}\\right]$"
],
"text/plain": [
"⎡ ⎧src_E src_W ⎤\n",
@@ -200,10 +204,10 @@
{
"data": {
"text/html": [
- "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$a \\leftarrow {{src}_{N}} + {{src}_{W}}$$</td> </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$b \\leftarrow 2 {{src}_{E}} + {{src}_{S}}$$</td> </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$c \\leftarrow - {{src}_{C}} + 2 {{src}_{E}} + {{src}_{N}} + {{src}_{S}} + {{src}_{W}}$$</td> </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${{dst}_{C}} \\leftarrow a + b + c$$</td> </tr> </table>"
+ "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$a \\leftarrow {src}_{(0,1)} + {src}_{(-1,0)}$$</td> </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$b \\leftarrow 2 {src}_{(1,0)} + {src}_{(0,-1)}$$</td> </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$c \\leftarrow - {src}_{(0,0)} + 2 {src}_{(1,0)} + {src}_{(0,1)} + {src}_{(0,-1)} + {src}_{(-1,0)}$$</td> </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${dst}_{(0,0)} \\leftarrow a + b + c$$</td> </tr> </table>"
],
"text/plain": [
- "Equation Collection for dst_C"
+ "AssignmentCollection: dst_C, <- f(src_W, src_S, src_N, src_C, src_E)"
]
},
"execution_count": 7,
@@ -232,7 +236,13 @@
{
"data": {
"text/plain": [
- "{'adds': 8, 'muls': 2, 'divs': 0}"
+ "{'adds': 8,\n",
+ " 'muls': 2,\n",
+ " 'divs': 0,\n",
+ " 'sqrts': 0,\n",
+ " 'fast_sqrts': 0,\n",
+ " 'fast_inv_sqrts': 0,\n",
+ " 'fast_div': 0}"
]
},
"execution_count": 8,
@@ -261,10 +271,10 @@
{
"data": {
"text/html": [
- "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$a \\leftarrow {{src}_{N}} + {{src}_{W}}$$</td> </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$b \\leftarrow 2 {{src}_{E}} + {{src}_{S}}$$</td> </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$c \\leftarrow - {{src}_{C}} + a + b$$</td> </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${{dst}_{C}} \\leftarrow a + b + c$$</td> </tr> </table>"
+ "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$a \\leftarrow {src}_{(0,1)} + {src}_{(-1,0)}$$</td> </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$b \\leftarrow 2 {src}_{(1,0)} + {src}_{(0,-1)}$$</td> </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$c \\leftarrow - {src}_{(0,0)} + a + b$$</td> </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${dst}_{(0,0)} \\leftarrow a + b + c$$</td> </tr> </table>"
],
"text/plain": [
- "Equation Collection for dst_C"
+ "AssignmentCollection: dst_C, <- f(src_W, src_S, src_N, src_C, src_E)"
]
},
"execution_count": 9,
@@ -285,7 +295,13 @@
{
"data": {
"text/plain": [
- "{'adds': 6, 'muls': 1, 'divs': 0}"
+ "{'adds': 6,\n",
+ " 'muls': 1,\n",
+ " 'divs': 0,\n",
+ " 'sqrts': 0,\n",
+ " 'fast_sqrts': 0,\n",
+ " 'fast_inv_sqrts': 0,\n",
+ " 'fast_div': 0}"
]
},
"execution_count": 10,
@@ -314,8 +330,13 @@
{
"data": {
"text/html": [
- "<style>.highlight .hll { background-color: #ffffcc }\n",
- ".highlight { background: #f8f8f8; }\n",
+ "<style>pre { line-height: 125%; }\n",
+ "td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }\n",
+ "span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }\n",
+ "td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\n",
+ "span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\n",
+ ".highlight .hll { background-color: #ffffcc }\n",
+ ".highlight { background: #f8f8f8; }\n",
".highlight .c { color: #408080; font-style: italic } /* Comment */\n",
".highlight .err { border: 1px solid #FF0000 } /* Error */\n",
".highlight .k { color: #008000; font-weight: bold } /* Keyword */\n",
@@ -394,40 +415,39 @@
{
"data": {
"text/html": [
- "<div class=\"highlight\"><pre><span></span><span class=\"n\">FUNC_PREFIX</span> <span class=\"kt\">void</span> <span class=\"nf\">kernel</span><span class=\"p\">(</span><span class=\"kt\">double</span> <span class=\"o\">*</span> <span class=\"n\">RESTRICT</span> <span class=\"n\">fd_dst</span><span class=\"p\">,</span> <span class=\"kt\">double</span> <span class=\"o\">*</span> <span class=\"n\">RESTRICT</span> <span class=\"k\">const</span> <span class=\"n\">fd_src</span><span class=\"p\">)</span>\n",
- "<span class=\"p\">{</span>\n",
- " <span class=\"k\">for</span> <span class=\"p\">(</span><span class=\"kt\">int</span> <span class=\"n\">ctr_0</span> <span class=\"o\">=</span> <span class=\"mi\">2</span><span class=\"p\">;</span> <span class=\"n\">ctr_0</span> <span class=\"o\"><</span> <span class=\"mi\">18</span><span class=\"p\">;</span> <span class=\"n\">ctr_0</span> <span class=\"o\">+=</span> <span class=\"mi\">1</span><span class=\"p\">)</span>\n",
- " <span class=\"p\">{</span>\n",
- " <span class=\"kt\">double</span> <span class=\"o\">*</span> <span class=\"n\">RESTRICT</span> <span class=\"n\">fd_dst_C</span> <span class=\"o\">=</span> <span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span> <span class=\"o\">+</span> <span class=\"n\">fd_dst</span><span class=\"p\">;</span>\n",
- " <span class=\"kt\">double</span> <span class=\"o\">*</span> <span class=\"n\">RESTRICT</span> <span class=\"k\">const</span> <span class=\"n\">fd_src_2E</span> <span class=\"o\">=</span> <span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span> <span class=\"o\">+</span> <span class=\"n\">fd_src</span> <span class=\"o\">+</span> <span class=\"mi\">60</span><span class=\"p\">;</span>\n",
- " <span class=\"kt\">double</span> <span class=\"o\">*</span> <span class=\"n\">RESTRICT</span> <span class=\"k\">const</span> <span class=\"n\">fd_src_W</span> <span class=\"o\">=</span> <span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span> <span class=\"o\">+</span> <span class=\"n\">fd_src</span> <span class=\"o\">-</span> <span class=\"mi\">30</span><span class=\"p\">;</span>\n",
- " <span class=\"k\">for</span> <span class=\"p\">(</span><span class=\"kt\">int</span> <span class=\"n\">ctr_1</span> <span class=\"o\">=</span> <span class=\"mi\">2</span><span class=\"p\">;</span> <span class=\"n\">ctr_1</span> <span class=\"o\"><</span> <span class=\"mi\">28</span><span class=\"p\">;</span> <span class=\"n\">ctr_1</span> <span class=\"o\">+=</span> <span class=\"mi\">1</span><span class=\"p\">)</span>\n",
- " <span class=\"p\">{</span>\n",
- " <span class=\"n\">fd_dst_C</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"n\">fd_src_2E</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span> <span class=\"o\">+</span> <span class=\"n\">fd_src_W</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">];</span>\n",
- " <span class=\"p\">}</span>\n",
- " <span class=\"p\">}</span>\n",
- "<span class=\"p\">}</span>\n",
+ "<div class=\"highlight\"><pre><span></span><span class=\"n\">FUNC_PREFIX</span><span class=\"w\"> </span><span class=\"kt\">void</span><span class=\"w\"> </span><span class=\"n\">kernel</span><span class=\"p\">(</span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_dst</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
+ "<span class=\"p\">{</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">2</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\"><</span><span class=\"w\"> </span><span class=\"mi\">18</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_dst_00</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_dst</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_src_02</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">60</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_src_0m1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">2</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\"><</span><span class=\"w\"> </span><span class=\"mi\">28</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"n\">_data_dst_00</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src_02</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">_data_src_0m1</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">];</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
+ "<span class=\"p\">}</span><span class=\"w\"></span>\n",
"</pre></div>\n"
],
"text/plain": [
- "FUNC_PREFIX void kernel(double * RESTRICT fd_dst, double * RESTRICT const fd_src)\n",
+ "FUNC_PREFIX void kernel(double * RESTRICT _data_dst, double * RESTRICT const _data_src)\n",
"{\n",
- " for (int ctr_0 = 2; ctr_0 < 18; ctr_0 += 1)\n",
+ " for (int64_t ctr_0 = 2; ctr_0 < 18; ctr_0 += 1)\n",
" {\n",
- " double * RESTRICT fd_dst_C = 30*ctr_0 + fd_dst;\n",
- " double * RESTRICT const fd_src_2E = 30*ctr_0 + fd_src + 60;\n",
- " double * RESTRICT const fd_src_W = 30*ctr_0 + fd_src - 30;\n",
- " for (int ctr_1 = 2; ctr_1 < 28; ctr_1 += 1)\n",
+ " double * RESTRICT _data_dst_00 = _data_dst + 30*ctr_0;\n",
+ " double * RESTRICT _data_src_02 = _data_src + 30*ctr_0 + 60;\n",
+ " double * RESTRICT _data_src_0m1 = _data_src + 30*ctr_0 - 30;\n",
+ " for (int64_t ctr_1 = 2; ctr_1 < 28; ctr_1 += 1)\n",
" {\n",
- " fd_dst_C[ctr_1] = fd_src_2E[ctr_1] + fd_src_W[ctr_1];\n",
+ " _data_dst_00[ctr_1] = _data_src_02[ctr_1] + _data_src_0m1[ctr_1];\n",
" }\n",
" }\n",
"}"
]
},
- "execution_count": 11,
"metadata": {},
- "output_type": "execute_result"
+ "output_type": "display_data"
}
],
"source": [
@@ -451,8 +471,13 @@
{
"data": {
"text/html": [
- "<style>.highlight .hll { background-color: #ffffcc }\n",
- ".highlight { background: #f8f8f8; }\n",
+ "<style>pre { line-height: 125%; }\n",
+ "td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }\n",
+ "span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }\n",
+ "td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\n",
+ "span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\n",
+ ".highlight .hll { background-color: #ffffcc }\n",
+ ".highlight { background: #f8f8f8; }\n",
".highlight .c { color: #408080; font-style: italic } /* Comment */\n",
".highlight .err { border: 1px solid #FF0000 } /* Error */\n",
".highlight .k { color: #008000; font-weight: bold } /* Keyword */\n",
@@ -531,40 +556,39 @@
{
"data": {
"text/html": [
- "<div class=\"highlight\"><pre><span></span><span class=\"n\">FUNC_PREFIX</span> <span class=\"kt\">void</span> <span class=\"nf\">kernel</span><span class=\"p\">(</span><span class=\"kt\">double</span> <span class=\"o\">*</span> <span class=\"n\">RESTRICT</span> <span class=\"n\">fd_dst</span><span class=\"p\">,</span> <span class=\"kt\">double</span> <span class=\"o\">*</span> <span class=\"n\">RESTRICT</span> <span class=\"k\">const</span> <span class=\"n\">fd_src</span><span class=\"p\">)</span>\n",
- "<span class=\"p\">{</span>\n",
- " <span class=\"k\">for</span> <span class=\"p\">(</span><span class=\"kt\">int</span> <span class=\"n\">ctr_0</span> <span class=\"o\">=</span> <span class=\"mi\">0</span><span class=\"p\">;</span> <span class=\"n\">ctr_0</span> <span class=\"o\"><</span> <span class=\"mi\">18</span><span class=\"p\">;</span> <span class=\"n\">ctr_0</span> <span class=\"o\">+=</span> <span class=\"mi\">1</span><span class=\"p\">)</span>\n",
- " <span class=\"p\">{</span>\n",
- " <span class=\"kt\">double</span> <span class=\"o\">*</span> <span class=\"n\">RESTRICT</span> <span class=\"n\">fd_dst_C</span> <span class=\"o\">=</span> <span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span> <span class=\"o\">+</span> <span class=\"n\">fd_dst</span><span class=\"p\">;</span>\n",
- " <span class=\"kt\">double</span> <span class=\"o\">*</span> <span class=\"n\">RESTRICT</span> <span class=\"k\">const</span> <span class=\"n\">fd_src_2E</span> <span class=\"o\">=</span> <span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span> <span class=\"o\">+</span> <span class=\"n\">fd_src</span> <span class=\"o\">+</span> <span class=\"mi\">60</span><span class=\"p\">;</span>\n",
- " <span class=\"kt\">double</span> <span class=\"o\">*</span> <span class=\"n\">RESTRICT</span> <span class=\"k\">const</span> <span class=\"n\">fd_src_W</span> <span class=\"o\">=</span> <span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span> <span class=\"o\">+</span> <span class=\"n\">fd_src</span> <span class=\"o\">-</span> <span class=\"mi\">30</span><span class=\"p\">;</span>\n",
- " <span class=\"k\">for</span> <span class=\"p\">(</span><span class=\"kt\">int</span> <span class=\"n\">ctr_1</span> <span class=\"o\">=</span> <span class=\"mi\">1</span><span class=\"p\">;</span> <span class=\"n\">ctr_1</span> <span class=\"o\"><</span> <span class=\"mi\">30</span><span class=\"p\">;</span> <span class=\"n\">ctr_1</span> <span class=\"o\">+=</span> <span class=\"mi\">1</span><span class=\"p\">)</span>\n",
- " <span class=\"p\">{</span>\n",
- " <span class=\"n\">fd_dst_C</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"n\">fd_src_2E</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span> <span class=\"o\">+</span> <span class=\"n\">fd_src_W</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">];</span>\n",
- " <span class=\"p\">}</span>\n",
- " <span class=\"p\">}</span>\n",
- "<span class=\"p\">}</span>\n",
+ "<div class=\"highlight\"><pre><span></span><span class=\"n\">FUNC_PREFIX</span><span class=\"w\"> </span><span class=\"kt\">void</span><span class=\"w\"> </span><span class=\"n\">kernel</span><span class=\"p\">(</span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_dst</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
+ "<span class=\"p\">{</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">0</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\"><</span><span class=\"w\"> </span><span class=\"mi\">18</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_dst_00</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_dst</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_src_02</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">60</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_src_0m1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\"><</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"n\">_data_dst_00</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src_02</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">_data_src_0m1</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">];</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
+ "<span class=\"w\"> </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
+ "<span class=\"p\">}</span><span class=\"w\"></span>\n",
"</pre></div>\n"
],
"text/plain": [
- "FUNC_PREFIX void kernel(double * RESTRICT fd_dst, double * RESTRICT const fd_src)\n",
+ "FUNC_PREFIX void kernel(double * RESTRICT _data_dst, double * RESTRICT const _data_src)\n",
"{\n",
- " for (int ctr_0 = 0; ctr_0 < 18; ctr_0 += 1)\n",
+ " for (int64_t ctr_0 = 0; ctr_0 < 18; ctr_0 += 1)\n",
" {\n",
- " double * RESTRICT fd_dst_C = 30*ctr_0 + fd_dst;\n",
- " double * RESTRICT const fd_src_2E = 30*ctr_0 + fd_src + 60;\n",
- " double * RESTRICT const fd_src_W = 30*ctr_0 + fd_src - 30;\n",
- " for (int ctr_1 = 1; ctr_1 < 30; ctr_1 += 1)\n",
+ " double * RESTRICT _data_dst_00 = _data_dst + 30*ctr_0;\n",
+ " double * RESTRICT _data_src_02 = _data_src + 30*ctr_0 + 60;\n",
+ " double * RESTRICT _data_src_0m1 = _data_src + 30*ctr_0 - 30;\n",
+ " for (int64_t ctr_1 = 1; ctr_1 < 30; ctr_1 += 1)\n",
" {\n",
- " fd_dst_C[ctr_1] = fd_src_2E[ctr_1] + fd_src_W[ctr_1];\n",
+ " _data_dst_00[ctr_1] = _data_src_02[ctr_1] + _data_src_0m1[ctr_1];\n",
" }\n",
" }\n",
"}"
]
},
- "execution_count": 12,
"metadata": {},
- "output_type": "execute_result"
+ "output_type": "display_data"
}
],
"source": [
@@ -703,7 +727,7 @@
{
"data": {
"text/plain": [
- "KernelFunction kernel([<double * RESTRICT fd_dst>, <double * RESTRICT const fd_src>])"
+ "KernelFunction kernel([_data_dst, _data_src])"
]
},
"execution_count": 17,
@@ -722,7 +746,7 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Python 3",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
@@ -736,7 +760,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.2"
+ "version": "3.9.7"
}
},
"nbformat": 4,
diff --git a/pystencils/display_utils.py b/pystencils/display_utils.py
index 22492dd3af901b30b2c559602f5ca4eaea451f7b..3250765c83bafb46de7b878669dbe485a64dd91e 100644
--- a/pystencils/display_utils.py
+++ b/pystencils/display_utils.py
@@ -46,7 +46,7 @@ def get_code_obj(ast: Union[KernelFunction, KernelWrapper], custom_backend=None)
if isinstance(ast, KernelWrapper):
ast = ast.ast
- if ast.backend not in {Backend.C, Backend.CUDA, Backend.OPENCL}:
+ if ast.backend not in {Backend.C, Backend.CUDA}:
raise NotImplementedError(f'get_code_obj is not implemented for backend {ast.backend}')
dialect = ast.backend
diff --git a/pystencils/kernelcreation.py b/pystencils/kernelcreation.py
index e61de6494ab6fb54dd6625c3bbb0288941e4c6c5..c4f22de7a19d4aada331c9a28881322d2078f0b8 100644
--- a/pystencils/kernelcreation.py
+++ b/pystencils/kernelcreation.py
@@ -1,4 +1,3 @@
-import functools
import itertools
import warnings
from dataclasses import dataclass, field