[ExecuTorch][WebGPU] linear_fp32 op tests

[JCNTH]

Stack from ghstack (oldest at bottom):

• [ExecuTorch][WebGPU] split_with_sizes_copy op tests #20996
• [ExecuTorch][WebGPU] Add split_with_sizes_copy op #20995
• [ExecuTorch][WebGPU] batch_norm op tests #20994
• [ExecuTorch][WebGPU] Add batch_norm op #20993
• [ExecuTorch][WebGPU] upsample_bilinear2d op tests #20992
• [ExecuTorch][WebGPU] Add upsample_bilinear2d op #20991
• [ExecuTorch][WebGPU] leaky_relu op tests #20990
• [ExecuTorch][WebGPU] Add leaky_relu op #20989
• [ExecuTorch][WebGPU] Tests for aten._to_copy.default int<->float convert #20988
• [ExecuTorch][WebGPU] Add aten._to_copy.default with int<->float numeric convert #20987
• [ExecuTorch][WebGPU] Tests for aten.sub.Tensor broadcast #20986
• [ExecuTorch][WebGPU] Add aten.sub.Tensor with TensorMeta broadcast #20985
• [ExecuTorch][WebGPU] apply_rotary_emb_hf op tests #20876
• [ExecuTorch][WebGPU] et_vk.apply_rotary_emb_hf: HuggingFace rotate-half RoPE runtime op (unblocks Qwen3) #20875
• [ExecuTorch][WebGPU] et_vk conv2d im2col-GEMM tests #20874
• [ExecuTorch][WebGPU] et_vk conv2d: route standard (groups==1) conv through an im2col tiled GEMM (1.1-2.4x) #20873
• [ExecuTorch][WebGPU] et_vk.sdpa channel-attention tests #20872
• [ExecuTorch][WebGPU] et_vk.sdpa: shape-route QK to a per-entry kernel for channel attention (15-30x faster) #20871
• [ExecuTorch][WebGPU] Migrate quantized_linear to make_compute_pipeline #20870
• [ExecuTorch][WebGPU] Migrate multi-dispatch ops to make_compute_pipeline #20869
• [ExecuTorch][WebGPU] Migrate 9 ops to make_compute_pipeline (layout:"auto") #20868
• [ExecuTorch][WebGPU] Adopt WebGPU layout:"auto" in make_compute_pipeline #20867
• [ExecuTorch][WebGPU] slice_copy native golden test #20866
• [ExecuTorch][WebGPU] slice_copy Double-arg scalar handling + view_copy/alias glue #20865
• [ExecuTorch][WebGPU] relu op tests #20864
• [ExecuTorch][WebGPU] Add relu op (shared unary handler; sigmoid adopts make_compute_pipeline) #20863
• [ExecuTorch][WebGPU] max_pool2d op tests #20862
• [ExecuTorch][WebGPU] Add max_pool2d op #20861
• [ExecuTorch][WebGPU] upsample_nearest2d op tests #20860
• [ExecuTorch][WebGPU] Add upsample_nearest2d op #20859
• [ExecuTorch][WebGPU] constant_pad_nd op tests #20858
• [ExecuTorch][WebGPU] Add constant_pad_nd op #20857
• [ExecuTorch][WebGPU] addmm op tests #20856
• [ExecuTorch][WebGPU] Add optimized addmm op #20855
• [ExecuTorch][WebGPU] embedding op tests #20854
• [ExecuTorch][WebGPU] Add embedding op #20853
• [ExecuTorch][WebGPU] SDPA op tests #20852
• [ExecuTorch][WebGPU] Add optimized SDPA op #20851
• [ExecuTorch][WebGPU] conv2d op tests #20850
• [ExecuTorch][WebGPU] Add optimized conv2d op #20849
• -> [ExecuTorch][WebGPU] linear_fp32 op tests #20848
• [ExecuTorch][WebGPU] Add optimized linear_fp32 op #20847
• [ExecuTorch][WebGPU] layer_norm op tests #20846
• [ExecuTorch][WebGPU] Add optimized layer_norm op #20845
• [ExecuTorch][WebGPU] gelu op tests #20844
• [ExecuTorch][WebGPU] Add optimized gelu op #20843
• [ExecuTorch][WebGPU] Shared pipeline + dispatch-grid + vec4-align helpers (op-suite foundation) #20842

Splits the linear_fp32 op tests into their own diff, stacked directly above the linear_fp32 op — keeping an op and its tests in separate diffs (op below, tests above) per this backend's convention. Adds test/ops/test_linear_fp32.py and registers the linear_fp32 @register_op_test suite in test/op_tests/cases.py.

Co-authored-with: Claude Code.
@exported-using-ghexport

Differential Revision: D111072710

Differential Revision: D111072710

[pytorch-bot]

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