sync c928d21e6cc1
Browse files
build/webgpu/binary-broadcast.wgsl.jinja
CHANGED
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@@ -4,23 +4,14 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>, @builtin(num_workgroups)
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// 2D-folded flat index: gid.y carries the high bits when the element count exceeds the
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// maxComputeWorkgroupsPerDimension limit (the dispatch caps x and spills the rest into y).
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let invocation = gid.x + gid.y * nwg.x * {{ tunables.WORKGROUP_SIZE }}u;
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-
{% if source.itemsPerInvocation is defined %}
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// Tail-safe scalar x4 keeps vector-like dispatch density without requiring
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// the logical tensor length (or its storage binding) to be vec4 aligned.
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let begin = invocation * {{ source.itemsPerInvocation }}u;
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let end = min(begin + {{ source.itemsPerInvocation }}u, params.count);
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for (var i = begin; i < end; i = i + 1u) {
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{%-
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let i = invocation;
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if (i >= params.count) {
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return;
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}
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{%- endif %}
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{% endmacro %}
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{% macro flat_tail_close() %}
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{% if source.itemsPerInvocation is defined %}
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}
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{% endif %}
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{% endmacro %}
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{% macro offset_fn(fn_name, opShape, opRank, op_same, op_numel, outShape, outRank, out_numel) %}
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// 2D-folded flat index: gid.y carries the high bits when the element count exceeds the
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// maxComputeWorkgroupsPerDimension limit (the dispatch caps x and spills the rest into y).
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let invocation = gid.x + gid.y * nwg.x * {{ tunables.WORKGROUP_SIZE }}u;
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// Tail-safe scalar x4 keeps vector-like dispatch density without requiring
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// the logical tensor length (or its storage binding) to be vec4 aligned.
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let begin = invocation * {{ source.itemsPerInvocation }}u;
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let end = min(begin + {{ source.itemsPerInvocation }}u, params.count);
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for (var i = begin; i < end; i = i + 1u) {
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{%- endmacro %}
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{% macro flat_tail_close() %}
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}
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{% endmacro %}
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{% macro offset_fn(fn_name, opShape, opRank, op_same, op_numel, outShape, outRank, out_numel) %}
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build/webgpu/manifest.json
CHANGED
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@@ -200,7 +200,8 @@
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"bRank": "ranks.B",
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"cRank": "ranks.C",
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"op": "\"div\"",
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-
"cDtype": "tensorDtypes.C"
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}
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},
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"bindings": [
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@@ -226,7 +227,7 @@
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"struct": { "name": "Params", "fields": [{ "name": "count", "type": "u32", "value": "numel(shapes.C)" }] }
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}
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],
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"dispatch": { "threads": "numel(shapes.C)", "workgroupSize": "tunables.WORKGROUP_SIZE" }
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}
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]
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}
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"bRank": "ranks.B",
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"cRank": "ranks.C",
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"op": "\"div\"",
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"cDtype": "tensorDtypes.C",
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"itemsPerInvocation": 4
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}
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},
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"bindings": [
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"struct": { "name": "Params", "fields": [{ "name": "count", "type": "u32", "value": "numel(shapes.C)" }] }
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}
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],
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"dispatch": { "threads": "ceilDiv(numel(shapes.C), 4)", "workgroupSize": "tunables.WORKGROUP_SIZE" }
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}
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]
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}
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build/webgpu/metadata.json
CHANGED
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@@ -1,6 +1,6 @@
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{
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"name": "ai.onnx.Div",
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-
"id": "
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"version": 1,
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"license": "Apache-2.0",
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"backend": { "type": "webgpu" },
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@@ -9,12 +9,12 @@
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"files": {
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"bench.json": "T8ahwVvFuvykKXC3r8ulXGaNXUQDbPI1PbKp5rqstSQ=",
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"binary-broadcast-vec4.wgsl.jinja": "U3eGI7MMFuwzIsyzIo+9YCReBwWqdMojY4wfH4yOWOU=",
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-
"binary-broadcast.wgsl.jinja": "
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"binary-vec4.wgsl.jinja": "d/SCw5hd7ZTCW1+V/zDeZmzTq2Cvy/VGcup4xlfnW+g=",
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-
"manifest.json": "
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"test.json": "nI5UD3dutlCko0fqrCnHpndsor6lw9SEhDbEPGMZst4="
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}
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},
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-
"provenance": { "kernel": { "sha": "
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"webgpu": { "manifestSpec": "1.0", "specialized": true, "opPath": "ops/ai.onnx.Div" }
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}
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{
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"name": "ai.onnx.Div",
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"id": "_ai_onnx_div_webgpu_af5d5b7",
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"version": 1,
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"license": "Apache-2.0",
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"backend": { "type": "webgpu" },
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"files": {
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"bench.json": "T8ahwVvFuvykKXC3r8ulXGaNXUQDbPI1PbKp5rqstSQ=",
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"binary-broadcast-vec4.wgsl.jinja": "U3eGI7MMFuwzIsyzIo+9YCReBwWqdMojY4wfH4yOWOU=",
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+
"binary-broadcast.wgsl.jinja": "ZA6kUovcMlxJK9HzmH0+wH0TlN2L0iGq57j5ayF+Sl8=",
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"binary-vec4.wgsl.jinja": "d/SCw5hd7ZTCW1+V/zDeZmzTq2Cvy/VGcup4xlfnW+g=",
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+
"manifest.json": "fbw8UcqY7Gfrzy2KqagX1azKQlVfXg5RUivgVT5pxL8=",
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"test.json": "nI5UD3dutlCko0fqrCnHpndsor6lw9SEhDbEPGMZst4="
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}
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},
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+
"provenance": { "kernel": { "sha": "c928d21e6cc1310861cba3bafb75f5f679ecf5f3", "dirty": false } },
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"webgpu": { "manifestSpec": "1.0", "specialized": true, "opPath": "ops/ai.onnx.Div" }
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}
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