Less strict webgpu reqs

src/style/_app-shell.scss

@@ -121,12 +121,15 @@ html > body {
       position: absolute;
       top: 0;
       left: 0;
+      max-width: calc(100% - var(--normal-margin) * 2);
       margin: var(--normal-margin);
       z-index: 5;
 
       pre {
         font-size: 20px;
         color: red;
+        white-space: pre-wrap;
+        overflow-wrap: anywhere;
       }
     }
   }

src/utils/graphics/initialize-gpu.ts

@@ -15,7 +15,30 @@ const REQUESTED_LIMIT_NAMES = [
   'maxComputeWorkgroupsPerDimension',
 ] as const satisfies ReadonlyArray<keyof GPUSupportedLimits>;
 
-const getRequiredLimits = (
+interface AdapterRequestAttempt {
+  label: string;
+  options?: GPURequestAdapterOptions;
+}
+
+const ADAPTER_REQUEST_ATTEMPTS: ReadonlyArray<AdapterRequestAttempt> = [
+  {
+    label: 'compatibility-default',
+    options: { featureLevel: 'compatibility' },
+  },
+  {
+    label: 'core-default',
+  },
+  {
+    label: 'compatibility-high-performance',
+    options: { featureLevel: 'compatibility', powerPreference: 'high-performance' },
+  },
+  {
+    label: 'core-high-performance',
+    options: { powerPreference: 'high-performance' },
+  },
+] as const;
+
+const getRelevantLimits = (
   limits: GPUSupportedLimits
 ): Record<(typeof REQUESTED_LIMIT_NAMES)[number], number> =>
   Object.fromEntries(REQUESTED_LIMIT_NAMES.map((name) => [name, limits[name]])) as Record<
@@ -42,25 +65,64 @@ const getAdapterInfo = (adapter: GPUAdapter): Record<string, unknown> => {
   }
 };
 
+const getRequiredFeatures = (adapter: GPUAdapter): Array<GPUFeatureName> => {
+  const requiredFeatures: Array<GPUFeatureName> = [];
+
+  if (adapter.features.has('core-features-and-limits')) {
+    requiredFeatures.push('core-features-and-limits');
+  }
+
+  return requiredFeatures;
+};
+
+type AdapterRequestOutcome = 'adapter' | 'unavailable' | 'error';
+
+const describeAdapterRequest = (
+  attempt: AdapterRequestAttempt,
+  outcome: AdapterRequestOutcome,
+  causeMessage?: string
+): Record<string, unknown> => ({
+  label: attempt.label,
+  featureLevel: attempt.options?.featureLevel ?? 'core',
+  powerPreference: attempt.options?.powerPreference ?? 'default',
+  outcome,
+  ...(causeMessage === undefined ? {} : { causeMessage }),
+});
+
 const requestAdapter = async (
-  gpu: GPU,
-  options?: GPURequestAdapterOptions
-): Promise<GPUAdapter | null> => {
+  gpu: GPU
+): Promise<{
+  adapter: GPUAdapter | null;
+  attempts: Array<Record<string, unknown>>;
+}> => {
+  const attempts: Array<Record<string, unknown>> = [];
+
+  for (const attempt of ADAPTER_REQUEST_ATTEMPTS) {
     try {
-    return await gpu.requestAdapter(options);
+      const adapter = await gpu.requestAdapter(attempt.options);
+      attempts.push(describeAdapterRequest(attempt, adapter ? 'adapter' : 'unavailable'));
+
+      if (adapter) {
+        return { adapter, attempts };
+      }
     } catch (error) {
-    throw new RuntimeError(
-      ErrorCode.WEBGPU_ADAPTER_UNAVAILABLE,
-      'Could not request a WebGPU adapter.',
-      {
-        cause: error,
-        details: {
-          causeMessage: getErrorMessage(error),
-          powerPreference: options?.powerPreference ?? 'default',
-        },
+      attempts.push(describeAdapterRequest(attempt, 'error', getErrorMessage(error)));
     }
-    );
   }
+
+  return { adapter: null, attempts };
+};
+
+const formatAdapterAttemptSummary = (
+  attempts: Array<Record<string, unknown>>
+): string => {
+  if (attempts.length === 0) {
+    return 'No adapter requests were attempted.';
+  }
+
+  return `Adapter attempts: ${attempts
+    .map((attempt) => `${attempt.label}: ${attempt.outcome}`)
+    .join('; ')}`;
 };
 
 export const initializeGpu = async (): Promise<GPUDevice> => {
@@ -81,35 +143,43 @@ export const initializeGpu = async (): Promise<GPUDevice> => {
     });
   }
 
-  const adapter =
-    (await requestAdapter(gpu, {
-      powerPreference: 'high-performance',
-    })) ?? (await requestAdapter(gpu));
+  const { adapter, attempts } = await requestAdapter(gpu);
+  ErrorHandler.addMetadata('webgpuAdapterRequest', {
+    attempts,
+    selectedAttempt: attempts[attempts.length - 1]?.label ?? null,
+  });
 
   if (!adapter) {
     throw new RuntimeError(
       ErrorCode.WEBGPU_ADAPTER_UNAVAILABLE,
-      'WebGPU is available, but this browser could not provide a compatible GPU adapter.'
+      [
+        'WebGPU is available, but this browser could not provide a compatible GPU adapter.',
+        formatAdapterAttemptSummary(attempts),
+      ].join('\n'),
+      {
+        details: {
+          attempts,
+          hasNavigatorGpu: true,
+          isSecureContext: window.isSecureContext,
+          platform: navigator.platform,
+          userAgent: navigator.userAgent,
+        },
+      }
     );
   }
 
-  const requiredLimits = getRequiredLimits(adapter.limits);
-  const requiredFeatures: Array<GPUFeatureName> = [];
-  if (adapter.features.has('timestamp-query')) {
-    requiredFeatures.push('timestamp-query');
-  }
+  const requiredFeatures = getRequiredFeatures(adapter);
   ErrorHandler.addMetadata('webgpuAdapter', {
     features: Array.from(adapter.features).sort(),
     info: getAdapterInfo(adapter),
     requiredFeatures,
-    requiredLimits,
+    relevantLimits: getRelevantLimits(adapter.limits),
   });
 
   let gpuDevice: GPUDevice;
   try {
     gpuDevice = await adapter.requestDevice({
       requiredFeatures,
-      requiredLimits,
     });
   } catch (error) {
     throw new RuntimeError(
@@ -120,7 +190,6 @@ export const initializeGpu = async (): Promise<GPUDevice> => {
         details: {
           causeMessage: getErrorMessage(error),
           requiredFeatures,
-          requiredLimits,
         },
       }
     );