[ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests

[JCNTH]

Stack from ghstack (oldest at bottom):

• [ExecuTorch][WebGPU] Lift FastVLM dispatch limits and harden graph construction #21602
• -> [ExecuTorch][WebGPU] Cover Conv1d routes and dynamic manifests #21601
• [ExecuTorch][WebGPU] Support general groups=1 Conv1d #21600
• [ExecuTorch][WebGPU] Test byte-packed BOOL tails #21599
• [ExecuTorch][WebGPU] Support byte-packed BOOL storage #21598
• [ExecuTorch][Vulkan] Preserve persistent buffer mutations #21597
• [ExecuTorch][WebGPU] Preserve Linear and Q4 embedding params across dynamic resize #21483
• [ExecuTorch][WebGPU] Generate logical and arithmetic binary shader variants #21451
• [ExecuTorch][WebGPU] Generate extrema and unary shader variants #21450
• [ExecuTorch][WebGPU] Generate typed to_copy shader variants #21449
• [ExecuTorch][WebGPU] Make WGSL generation rollback-safe #21448
• [ExecuTorch][WebGPU] Add Qwen3 K16 attention and fp16 KV cache #21136
• [ExecuTorch][WebGPU] Add HuggingFace rotate-half RoPE #21135
• [ExecuTorch][WebGPU] Repair dynamic SDPA routing, add attestation #21134
• [ExecuTorch][WebGPU] Select emdawnwebgpu for Emscripten builds #21133
• [ExecuTorch][WebGPU] Add Llama K16 online causal attention #21132
• [ExecuTorch][WebGPU] Replace broad QKV fusion with BK64 kernel #21131
• [ExecuTorch][WebGPU] Route exact prefill shapes to the BK64 GEMM #21130
• [ExecuTorch][WebGPU] Fuse the SwiGLU elementwise chain #21129
• [ExecuTorch][WebGPU] Coordinate dynamic dispatch routes #21128
• [ExecuTorch][WebGPU] Add certified scoped output suppression #21127

Cover Conv1d routing, resize, and dynamic manifest replay

Static numeric coverage pins the general groups=1 Conv1d kernel while preserving pointwise and depthwise routing. The manifest harness now separates upper-bound export inputs from live runtime inputs so dynamic execution proves a distinct shape through one loaded graph.

Key changes:

• Dispatch assertions distinguish general, pointwise, and depthwise Conv1d routes.
• Numeric cases cover padding, dilation, batching, optional bias, and dynamic resize.
• Case.export_inputs and Case.dynamic_shapes carry export-time samples and constraints while Case.inputs remains the live runtime input.
• Generator coverage proves export length 10 and runtime length 7.

This is coverage-only; runtime kernels are unchanged.

Co-authored-with: Claude Code.

Differential Revision: D114936144

[pytorch-bot]

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❌ 1 New Failure

As of commit 678f21c with merge base ad3a71f ():

NEW FAILURE - The following job has failed:

• pull / unittest-buck / macos / macos-job (gh)
  Error: Input required and not supplied: path

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