FP32 vs. TF32 TF32 也是深度学习时代诞生的一种新类型。 这主要是针对 Nvidia Ampere 的GPU 模式,它一般也是 TensorCore 的中间计算类型,默认情况下将启用。由于使用了 TF32,某些 float32 操作在基于 Ampere 架构的GPU 上以较低的精度运行,包括乘法和卷积。具体来说,这类运算的输入从 23 位精度四舍五入到...
计算精度方面,涵盖FP32、TF32、FP16、BF16和INT8全AI算力空间,是中国首款支持单精度张量TF32数据精度的人工智能芯片。单精度FP32峰值算力达到40T FLOPS,单精度张量TF32峰值算力达到160T FLOPS,半精度BF16/ FP16峰值算力达到160T FLOPS,整数精度INT8峰值算力达到320 T FLOPS。 存储带宽方面,邃思2.0共搭载了4颗HB...
Perhaps supports_tf32, with a comment saying that this indicates whether the hw supports tf32 but doesn't give us permission to use tf32 to silently, except where the result is "as if" we'd computed in fp32? Contributor Author lezcano Feb 28, 2024 Yeah, I wasn't sure about this ...
numpy float64:", np.abs(tf_cumsum_fp64.numpy() - np_cumsum_fp64).max()) print("torch f64 vs. f32:", np.abs((torch_cumsum_fp32 - torch_cumsum_fp64).numpy()).max()) print("tf f64 vs. f32:", np.abs(tf_cumsum_fp32.numpy() - tf_cumsum_fp64.numpy()).max()) print...
No.Model NameLinkFP32FP16INT8TPUDQWQOVCMTFJSTF-TRTONNXRemarks 036 Objectron ■■■ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ MediaPipe/camera,chair,chair_1stage,cup,sneakers,sneakers_1stage,ssd_mobilenetv2_oidv4_fp16 063 3D BoundingBox estimation for autonomous driving ■■■ ...
No.Model NameLinkFP32FP16INT8TPUDQWQOVCMTFJSTF-TRTONNXRemarks 036 Objectron ■■■ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ MediaPipe/camera,chair,chair_1stage,cup,sneakers,sneakers_1stage,ssd_mobilenetv2_oidv4_fp16 063 3D BoundingBox estimation for autonomous driving ■■■ ...