2 Commits

Author	SHA1	Message	Date
Gahow Wang	1ab6ca9c09	tensor: add narrow() view and relax is_contiguous for size-1 dims ... narrow(dim, start, len) creates a zero-copy slice along any dimension. is_contiguous() now ignores stride mismatches on dimensions of size 1, since those dimensions are never stepped. This avoids unnecessary GPU strided copies when slicing fused projection outputs at batch=1. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-05-30 12:49:57 +08:00
Gahow Wang	a83971fa25	phase 2: tensor abstraction layer ... - DType enum (F32, F16, BF16) with TensorDType trait - Shape utilities: contiguous_strides, broadcast_shape, broadcast_strides - Storage with Arc reference counting (CPU Vec<u8> or GPU GpuBuffer) - Device enum (Cpu, Cuda(id)) with to_device transfer - Tensor type with strided layout: reshape, transpose, squeeze, unsqueeze - contiguous() copies non-contiguous views to contiguous layout - from_slice, zeros, ones constructors - as_slice<T> for typed CPU read access, data_ptr for GPU kernel launch - CPU↔GPU roundtrip verified - All 27 tests pass (12 cuda + 4 shape + 11 tensor) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-05-21 19:45:22 +08:00