[TOPI] improve inclusive_scan for thrust#16652

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tqchen merged 1 commit into from
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[TOPI] improve inclusive_scan for thrust #16652

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42 changes: 33 additions & 9 deletions python/tvm/topi/cuda/scan.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -35,6 +35,21 @@ def _get_thrust_func_name(tvmop):
return tvmop_to_thrust_func_name[tvmop]


def _can_use_scan_thrust(binop):
"""
Check if scan_thrust can be utilized based on the current target and binary op.
"""
target = tvm.target.Target.current()
if target is None:
return False
return binop == tvm.tir.generic.add and any(
[
can_use_thrust(target, "tvm.contrib.thrust.sum_scan"),
can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan"),
]
)


def exclusive_scan_ir(data, output, reduction=None, binop=tvm.tir.generic.add, identity_value=0):
"""Low level IR to do exclusive sum scan along rows of 2D input.

Expand DownExpand Up@@ -363,17 +378,9 @@ def exclusive_scan(
"""

def do_scan(data, output_dtype):
target = tvm.target.Target.current()

# TODO: add support for a prod_scan
if (
target
and binop == tvm.tir.generic.add
and (
can_use_thrust(target, "tvm.contrib.thrust.sum_scan")
or can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan")
)
):
if _can_use_scan_thrust(binop):
return scan_thrust(
data, output_dtype, exclusive=True, return_reduction=return_reduction, binop=binop
)
Expand DownExpand Up@@ -479,6 +486,23 @@ def inclusive_scan(data, axis=-1, output_dtype=None, binop=tvm.tir.generic.add,
output : tvm.te.Tensor
A N-D tensor of the same rank N as the input data.
"""

if _can_use_scan_thrust(binop):
if output_dtype is None or output_dtype == "":
output_dtype = data.dtype
ndim = len(data.shape)
if axis < 0:
axis += ndim

if axis != ndim - 1:
axes = swap(list(range(ndim)), axis)
data = transpose(data, axes)
output = scan_thrust(data, output_dtype, exclusive=False, binop=binop)
if axis != ndim - 1:
axes = swap(list(range(ndim)), axis)
output = transpose(output, axes)
return output

ex_scan = exclusive_scan(
data, axis, output_dtype=output_dtype, binop=binop, identity_value=identity_value
)
Expand Down
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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[TOPI] improve inclusive_scan for thrust#16652

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tqchen
merged 1 commit into

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Mar 3, 2024
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[TOPI] improve inclusive_scan for thrust
#16652
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42 changes: 33 additions & 9 deletions
python/tvm/topi/cuda/scan.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -35,6 +35,21 @@ def _get_thrust_func_name(tvmop):
 return tvmop_to_thrust_func_name[tvmop]


def _can_use_scan_thrust(binop):
 """
 Check if scan_thrust can be utilized based on the current target and binary op.
 """
 target = tvm.target.Target.current()
 if target is None:
 return False
 return binop == tvm.tir.generic.add and any(
 [
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan"),
 can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan"),
 ]
 )


def exclusive_scan_ir(data, output, reduction=None, binop=tvm.tir.generic.add, identity_value=0):
 """Low level IR to do exclusive sum scan along rows of 2D input.

Expand DownExpand Up@@ -363,17 +378,9 @@ def exclusive_scan(
 """

 def do_scan(data, output_dtype):
 target = tvm.target.Target.current()

 # TODO: add support for a prod_scan
 if (
 target
 and binop == tvm.tir.generic.add
 and (
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan")
 or can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan")
 )
 ):
 if _can_use_scan_thrust(binop):
 return scan_thrust(
 data, output_dtype, exclusive=True, return_reduction=return_reduction, binop=binop
 )
Expand DownExpand Up@@ -479,6 +486,23 @@ def inclusive_scan(data, axis=-1, output_dtype=None, binop=tvm.tir.generic.add,
 output : tvm.te.Tensor
 A N-D tensor of the same rank N as the input data.
 """

 if _can_use_scan_thrust(binop):
 if output_dtype is None or output_dtype == "":
 output_dtype = data.dtype
 ndim = len(data.shape)
 if axis < 0:
 axis += ndim

 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 data = transpose(data, axes)
 output = scan_thrust(data, output_dtype, exclusive=False, binop=binop)
 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 output = transpose(output, axes)
 return output

 ex_scan = exclusive_scan(
 data, axis, output_dtype=output_dtype, binop=binop, identity_value=identity_value
 )
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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[TOPI] improve inclusive_scan for thrust#16652

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 Merged

tqchen
merged 1 commit into

from

Mar 3, 2024
 Merged


[TOPI] improve inclusive_scan for thrust
#16652
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42 changes: 33 additions & 9 deletions
python/tvm/topi/cuda/scan.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -35,6 +35,21 @@ def _get_thrust_func_name(tvmop):
 return tvmop_to_thrust_func_name[tvmop]


def _can_use_scan_thrust(binop):
 """
 Check if scan_thrust can be utilized based on the current target and binary op.
 """
 target = tvm.target.Target.current()
 if target is None:
 return False
 return binop == tvm.tir.generic.add and any(
 [
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan"),
 can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan"),
 ]
 )


def exclusive_scan_ir(data, output, reduction=None, binop=tvm.tir.generic.add, identity_value=0):
 """Low level IR to do exclusive sum scan along rows of 2D input.

Expand DownExpand Up@@ -363,17 +378,9 @@ def exclusive_scan(
 """

 def do_scan(data, output_dtype):
 target = tvm.target.Target.current()

 # TODO: add support for a prod_scan
 if (
 target
 and binop == tvm.tir.generic.add
 and (
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan")
 or can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan")
 )
 ):
 if _can_use_scan_thrust(binop):
 return scan_thrust(
 data, output_dtype, exclusive=True, return_reduction=return_reduction, binop=binop
 )
Expand DownExpand Up@@ -479,6 +486,23 @@ def inclusive_scan(data, axis=-1, output_dtype=None, binop=tvm.tir.generic.add,
 output : tvm.te.Tensor
 A N-D tensor of the same rank N as the input data.
 """

 if _can_use_scan_thrust(binop):
 if output_dtype is None or output_dtype == "":
 output_dtype = data.dtype
 ndim = len(data.shape)
 if axis < 0:
 axis += ndim

 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 data = transpose(data, axes)
 output = scan_thrust(data, output_dtype, exclusive=False, binop=binop)
 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 output = transpose(output, axes)
 return output

 ex_scan = exclusive_scan(
 data, axis, output_dtype=output_dtype, binop=binop, identity_value=identity_value
 )
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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[TOPI] improve inclusive_scan for thrust#16652

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 Merged

tqchen
merged 1 commit into

from

Mar 3, 2024
 Merged


[TOPI] improve inclusive_scan for thrust
#16652
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42 changes: 33 additions & 9 deletions
python/tvm/topi/cuda/scan.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -35,6 +35,21 @@ def _get_thrust_func_name(tvmop):
 return tvmop_to_thrust_func_name[tvmop]


def _can_use_scan_thrust(binop):
 """
 Check if scan_thrust can be utilized based on the current target and binary op.
 """
 target = tvm.target.Target.current()
 if target is None:
 return False
 return binop == tvm.tir.generic.add and any(
 [
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan"),
 can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan"),
 ]
 )


def exclusive_scan_ir(data, output, reduction=None, binop=tvm.tir.generic.add, identity_value=0):
 """Low level IR to do exclusive sum scan along rows of 2D input.

Expand DownExpand Up@@ -363,17 +378,9 @@ def exclusive_scan(
 """

 def do_scan(data, output_dtype):
 target = tvm.target.Target.current()

 # TODO: add support for a prod_scan
 if (
 target
 and binop == tvm.tir.generic.add
 and (
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan")
 or can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan")
 )
 ):
 if _can_use_scan_thrust(binop):
 return scan_thrust(
 data, output_dtype, exclusive=True, return_reduction=return_reduction, binop=binop
 )
Expand DownExpand Up@@ -479,6 +486,23 @@ def inclusive_scan(data, axis=-1, output_dtype=None, binop=tvm.tir.generic.add,
 output : tvm.te.Tensor
 A N-D tensor of the same rank N as the input data.
 """

 if _can_use_scan_thrust(binop):
 if output_dtype is None or output_dtype == "":
 output_dtype = data.dtype
 ndim = len(data.shape)
 if axis < 0:
 axis += ndim

 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 data = transpose(data, axes)
 output = scan_thrust(data, output_dtype, exclusive=False, binop=binop)
 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 output = transpose(output, axes)
 return output

 ex_scan = exclusive_scan(
 data, axis, output_dtype=output_dtype, binop=binop, identity_value=identity_value
 )
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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 Merged

tqchen
merged 1 commit into

from

Mar 3, 2024
 Merged


[TOPI] improve inclusive_scan for thrust
#16652
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42 changes: 33 additions & 9 deletions
python/tvm/topi/cuda/scan.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -35,6 +35,21 @@ def _get_thrust_func_name(tvmop):
 return tvmop_to_thrust_func_name[tvmop]


def _can_use_scan_thrust(binop):
 """
 Check if scan_thrust can be utilized based on the current target and binary op.
 """
 target = tvm.target.Target.current()
 if target is None:
 return False
 return binop == tvm.tir.generic.add and any(
 [
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan"),
 can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan"),
 ]
 )


def exclusive_scan_ir(data, output, reduction=None, binop=tvm.tir.generic.add, identity_value=0):
 """Low level IR to do exclusive sum scan along rows of 2D input.

Expand DownExpand Up@@ -363,17 +378,9 @@ def exclusive_scan(
 """

 def do_scan(data, output_dtype):
 target = tvm.target.Target.current()

 # TODO: add support for a prod_scan
 if (
 target
 and binop == tvm.tir.generic.add
 and (
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan")
 or can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan")
 )
 ):
 if _can_use_scan_thrust(binop):
 return scan_thrust(
 data, output_dtype, exclusive=True, return_reduction=return_reduction, binop=binop
 )
Expand DownExpand Up@@ -479,6 +486,23 @@ def inclusive_scan(data, axis=-1, output_dtype=None, binop=tvm.tir.generic.add,
 output : tvm.te.Tensor
 A N-D tensor of the same rank N as the input data.
 """

 if _can_use_scan_thrust(binop):
 if output_dtype is None or output_dtype == "":
 output_dtype = data.dtype
 ndim = len(data.shape)
 if axis < 0:
 axis += ndim

 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 data = transpose(data, axes)
 output = scan_thrust(data, output_dtype, exclusive=False, binop=binop)
 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 output = transpose(output, axes)
 return output

 ex_scan = exclusive_scan(
 data, axis, output_dtype=output_dtype, binop=binop, identity_value=identity_value
 )
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
[TOPI] improve inclusive_scan for thrust#16652

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 Merged

tqchen
merged 1 commit into

from

Mar 3, 2024
 Merged


[TOPI] improve inclusive_scan for thrust
#16652
 Changes from all commits
Commits

Show all changes


1 commit


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42 changes: 33 additions & 9 deletions
python/tvm/topi/cuda/scan.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -35,6 +35,21 @@ def _get_thrust_func_name(tvmop):
 return tvmop_to_thrust_func_name[tvmop]


def _can_use_scan_thrust(binop):
 """
 Check if scan_thrust can be utilized based on the current target and binary op.
 """
 target = tvm.target.Target.current()
 if target is None:
 return False
 return binop == tvm.tir.generic.add and any(
 [
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan"),
 can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan"),
 ]
 )


def exclusive_scan_ir(data, output, reduction=None, binop=tvm.tir.generic.add, identity_value=0):
 """Low level IR to do exclusive sum scan along rows of 2D input.

Expand DownExpand Up@@ -363,17 +378,9 @@ def exclusive_scan(
 """

 def do_scan(data, output_dtype):
 target = tvm.target.Target.current()

 # TODO: add support for a prod_scan
 if (
 target
 and binop == tvm.tir.generic.add
 and (
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan")
 or can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan")
 )
 ):
 if _can_use_scan_thrust(binop):
 return scan_thrust(
 data, output_dtype, exclusive=True, return_reduction=return_reduction, binop=binop
 )
Expand DownExpand Up@@ -479,6 +486,23 @@ def inclusive_scan(data, axis=-1, output_dtype=None, binop=tvm.tir.generic.add,
 output : tvm.te.Tensor
 A N-D tensor of the same rank N as the input data.
 """

 if _can_use_scan_thrust(binop):
 if output_dtype is None or output_dtype == "":
 output_dtype = data.dtype
 ndim = len(data.shape)
 if axis < 0:
 axis += ndim

 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 data = transpose(data, axes)
 output = scan_thrust(data, output_dtype, exclusive=False, binop=binop)
 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 output = transpose(output, axes)
 return output

 ex_scan = exclusive_scan(
 data, axis, output_dtype=output_dtype, binop=binop, identity_value=identity_value
 )
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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[TOPI] improve inclusive_scan for thrust#16652

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tqchen
merged 1 commit into

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Mar 3, 2024
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[TOPI] improve inclusive_scan for thrust
#16652
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42 changes: 33 additions & 9 deletions
python/tvm/topi/cuda/scan.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -35,6 +35,21 @@ def _get_thrust_func_name(tvmop):
 return tvmop_to_thrust_func_name[tvmop]


def _can_use_scan_thrust(binop):
 """
 Check if scan_thrust can be utilized based on the current target and binary op.
 """
 target = tvm.target.Target.current()
 if target is None:
 return False
 return binop == tvm.tir.generic.add and any(
 [
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan"),
 can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan"),
 ]
 )


def exclusive_scan_ir(data, output, reduction=None, binop=tvm.tir.generic.add, identity_value=0):
 """Low level IR to do exclusive sum scan along rows of 2D input.

Expand DownExpand Up@@ -363,17 +378,9 @@ def exclusive_scan(
 """

 def do_scan(data, output_dtype):
 target = tvm.target.Target.current()

 # TODO: add support for a prod_scan
 if (
 target
 and binop == tvm.tir.generic.add
 and (
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan")
 or can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan")
 )
 ):
 if _can_use_scan_thrust(binop):
 return scan_thrust(
 data, output_dtype, exclusive=True, return_reduction=return_reduction, binop=binop
 )
Expand DownExpand Up@@ -479,6 +486,23 @@ def inclusive_scan(data, axis=-1, output_dtype=None, binop=tvm.tir.generic.add,
 output : tvm.te.Tensor
 A N-D tensor of the same rank N as the input data.
 """

 if _can_use_scan_thrust(binop):
 if output_dtype is None or output_dtype == "":
 output_dtype = data.dtype
 ndim = len(data.shape)
 if axis < 0:
 axis += ndim

 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 data = transpose(data, axes)
 output = scan_thrust(data, output_dtype, exclusive=False, binop=binop)
 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 output = transpose(output, axes)
 return output

 ex_scan = exclusive_scan(
 data, axis, output_dtype=output_dtype, binop=binop, identity_value=identity_value
 )
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
[TOPI] improve inclusive_scan for thrust#16652

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
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 Merged

tqchen
merged 1 commit into

from

Mar 3, 2024
 Merged


[TOPI] improve inclusive_scan for thrust
#16652
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


File filter

Filter by extension
Filter by extension
Conversations

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42 changes: 33 additions & 9 deletions
python/tvm/topi/cuda/scan.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -35,6 +35,21 @@ def _get_thrust_func_name(tvmop):
 return tvmop_to_thrust_func_name[tvmop]


def _can_use_scan_thrust(binop):
 """
 Check if scan_thrust can be utilized based on the current target and binary op.
 """
 target = tvm.target.Target.current()
 if target is None:
 return False
 return binop == tvm.tir.generic.add and any(
 [
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan"),
 can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan"),
 ]
 )


def exclusive_scan_ir(data, output, reduction=None, binop=tvm.tir.generic.add, identity_value=0):
 """Low level IR to do exclusive sum scan along rows of 2D input.

Expand DownExpand Up@@ -363,17 +378,9 @@ def exclusive_scan(
 """

 def do_scan(data, output_dtype):
 target = tvm.target.Target.current()

 # TODO: add support for a prod_scan
 if (
 target
 and binop == tvm.tir.generic.add
 and (
 can_use_thrust(target, "tvm.contrib.thrust.sum_scan")
 or can_use_rocthrust(target, "tvm.contrib.thrust.sum_scan")
 )
 ):
 if _can_use_scan_thrust(binop):
 return scan_thrust(
 data, output_dtype, exclusive=True, return_reduction=return_reduction, binop=binop
 )
Expand DownExpand Up@@ -479,6 +486,23 @@ def inclusive_scan(data, axis=-1, output_dtype=None, binop=tvm.tir.generic.add,
 output : tvm.te.Tensor
 A N-D tensor of the same rank N as the input data.
 """

 if _can_use_scan_thrust(binop):
 if output_dtype is None or output_dtype == "":
 output_dtype = data.dtype
 ndim = len(data.shape)
 if axis < 0:
 axis += ndim

 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 data = transpose(data, axes)
 output = scan_thrust(data, output_dtype, exclusive=False, binop=binop)
 if axis != ndim - 1:
 axes = swap(list(range(ndim)), axis)
 output = transpose(output, axes)
 return output

 ex_scan = exclusive_scan(
 data, axis, output_dtype=output_dtype, binop=binop, identity_value=identity_value
 )
Expand Down