diff --git "a/long/long.txt" "b/long/long.txt" new file mode 100644--- /dev/null +++ "b/long/long.txt" @@ -0,0 +1,2951 @@ +Using devices [TpuDevice(id=0, process_index=0, coords=(0,0,0), core_on_chip=0), TpuDevice(id=1, process_index=0, coords=(1,0,0), core_on_chip=0), TpuDevice(id=2, process_index=0, coords=(0,1,0), core_on_chip=0), TpuDevice(id=3, process_index=0, coords=(1,1,0), core_on_chip=0)] +Device count 4 +Global device count 4 +Global Batch: 256 +Node Batch: 256 +Device Batch: 64 +Loading dataset +Loading dataset +DiT: Input of shape (1, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (1, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (1, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (1, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (1, 256, 768) + + DiT Summary  +┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ +┃ path  ┃ module  ┃ inputs  ┃ outputs  ┃ params  ┃ +┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ +│ │ DiT │ - float32[1,32,32,4] │ bfloat16[1,32,32,4] │ │ +│ │ │ - float32[1] │ │ │ +│ │ │ - float32[1] │ │ │ +│ │ │ - int32[1] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ PatchEmbed_0 │ PatchEmbed │ float32[1,32,32,4] │ bfloat16[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ PatchEmbed_0/Conv_0 │ Conv │ float32[1,32,32,4] │ bfloat16[1,16,16,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2,2,4,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 13,056 (52.2 KB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ PatchEmbed_1 │ PatchEmbed │ float32[1,32,32,4] │ bfloat16[1,256,768] │ │ +├─────────────────────────────────┼────────────────���──────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ PatchEmbed_1/Conv_0 │ Conv │ float32[1,32,32,4] │ bfloat16[1,16,16,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2,2,4,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 13,056 (52.2 KB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ TimestepEmbedder_0 │ TimestepEmbedder │ float32[1] │ float32[1,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ TimestepEmbedder_0/Dense_0 │ Dense │ bfloat16[1,256] │ bfloat16[1,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[256,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 197,376 (789.5 KB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ TimestepEmbedder_0/Dense_1 │ Dense │ bfloat16[1,768] │ float32[1,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ TimestepEmbedder_1 │ TimestepEmbedder │ float32[1] │ float32[1,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ TimestepEmbedder_1/Dense_0 │ Dense │ bfloat16[1,256] │ bfloat16[1,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[256,768] ��� +│ │ │ │ │ │ +│ │ │ │ │ 197,376 (789.5 KB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ TimestepEmbedder_1/Dense_1 │ Dense │ bfloat16[1,768] │ float32[1,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ LabelEmbedder_0 │ LabelEmbedder │ int32[1] │ bfloat16[1,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ LabelEmbedder_0/Embed_0 │ Embed │ int32[1] │ bfloat16[1,768] │ embedding: float32[1001,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 768,768 (3.1 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_0 │ DiTBlock │ - bfloat16[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_0/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼──────���────────────────┼──────────────────────────────┤ +│ DiTBlock_0/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_0/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_0/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ VisionRotaryEmbeddingFast_0 │ VisionRotaryEmbeddingFast │ bfloat16[1,256,12,64] │ float32[1,256,12,64] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_0/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼───────────────────��──────────┤ +│ DiTBlock_0/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_0/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_0/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_1 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_1/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_1/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_1/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_1/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_1/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_1/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_1/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_1/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_2 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_2/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_2/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_2/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_2/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_2/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_2/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_2/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_2/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_3 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_3/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_3/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_3/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_3/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_3/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_3/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_3/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_3/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_4 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼────────────────���──────┼──────────────────────────────┤ +│ DiTBlock_4/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_4/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_4/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_4/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_4/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ �� │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_4/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_4/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_4/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_5 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_5/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼────────────���─────────────────┤ +│ DiTBlock_5/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_5/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_5/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_5/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_5/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_5/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_5/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_6 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_6/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_6/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +�� DiTBlock_6/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_6/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_6/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_6/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_6/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_6/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_7 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_7/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_7/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_7/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_7/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_7/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_7/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_7/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_7/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_8 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +�� │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_8/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_8/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_8/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_8/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_8/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_8/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_8/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_8/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_9 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_9/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_9/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_9/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_9/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_9/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_9/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├──���──────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_9/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_9/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_10 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_10/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_10/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_10/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_10/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_10/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_10/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_10/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├──────────────────────���──────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_10/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_11 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_11/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_11/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_11/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_11/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_11/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_11/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_11/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_11/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼────────���──────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_12 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_12/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_12/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_12/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_12/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_12/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_12/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_12/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_12/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_13 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_13/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_13/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_13/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_13/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_13/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_13/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_13/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_13/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_14 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_14/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_14/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_14/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_14/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_14/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_14/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_14/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_14/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_15 │ DiTBlock │ - float32[1,256,768] │ float32[1,256,768] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_15/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,4608] │ bias: float32[4608] │ +│ │ │ │ │ kernel: float32[768,4608] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,543,552 (14.2 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_15/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_15/Dense_2 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_15/Dense_3 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_15/Dense_4 │ Dense │ float32[1,256,768] │ bfloat16[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[768,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 590,592 (2.4 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_15/SwiGLUFFN_0 │ SwiGLUFFN │ bfloat16[1,256,768] │ float32[1,256,768] │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_15/SwiGLUFFN_0/Dense_0 │ Dense │ bfloat16[1,256,768] │ float32[1,256,4096] │ bias: float32[4096] │ +│ │ │ │ │ kernel: float32[768,4096] │ +│ │ │ │ │ │ +│ │ │ │ │ 3,149,824 (12.6 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ DiTBlock_15/SwiGLUFFN_0/Dense_1 │ Dense │ float32[1,256,2048] │ float32[1,256,768] │ bias: float32[768] │ +│ │ │ │ │ kernel: float32[2048,768] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,573,632 (6.3 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ FinalLayer_0 │ FinalLayer │ - float32[1,256,768] │ bfloat16[1,256,16] │ │ +│ │ │ - float32[1,768] │ │ │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ FinalLayer_0/Dense_0 │ Dense │ float32[1,768] │ bfloat16[1,1536] │ bias: float32[1536] │ +│ │ │ │ │ kernel: float32[768,1536] │ +│ │ │ │ │ │ +│ │ │ │ │ 1,181,184 (4.7 MB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ FinalLayer_0/Dense_1 │ Dense │ bfloat16[1,256,768] │ bfloat16[1,256,16] │ bias: float32[16] │ +│ │ │ │ │ kernel: float32[768,16] │ +│ │ │ │ │ │ +│ │ │ │ │ 12,304 (49.2 KB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│ Embed_0 │ Embed │ int32[1] │ float32[1,1] │ embedding: float32[256,1] │ +│ │ │ │ │ │ +│ │ │ │ │ 256 (1.0 KB) │ +├─────────────────────────────────┼───────────────────────────┼───────────────────────┼───────────────────────┼──────────────────────────────┤ +│   │   │   │  Total │ 173,634,576 (694.5 MB)  │ +└─────────────────────────────────┴───────────────────────────┴───────────────────────┴───────────────────────┴──────────────────────────────┘ +  + Total Parameters: 173,634,576 (694.5 MB)  + + +DiT: Input of shape (1, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (1, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (1, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (1, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (1, 256, 768) +Loaded checkpoint from 29542 seconds ago. + + parameter shapes: +('PatchEmbed_0', 'Conv_0', 'kernel'): (2, 2, 4, 768) +('PatchEmbed_0', 'Conv_0', 'bias'): (768,) +('PatchEmbed_1', 'Conv_0', 'kernel'): (2, 2, 4, 768) +('PatchEmbed_1', 'Conv_0', 'bias'): (768,) +('TimestepEmbedder_0', 'Dense_0', 'kernel'): (256, 768) +('TimestepEmbedder_0', 'Dense_0', 'bias'): (768,) +('TimestepEmbedder_0', 'Dense_1', 'kernel'): (768, 768) +('TimestepEmbedder_0', 'Dense_1', 'bias'): (768,) +('TimestepEmbedder_1', 'Dense_0', 'kernel'): (256, 768) +('TimestepEmbedder_1', 'Dense_0', 'bias'): (768,) +('TimestepEmbedder_1', 'Dense_1', 'kernel'): (768, 768) +('TimestepEmbedder_1', 'Dense_1', 'bias'): (768,) +('LabelEmbedder_0', 'Embed_0', 'embedding'): (1001, 768) +('DiTBlock_0', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_0', 'Dense_0', 'bias'): (4608,) +('DiTBlock_0', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_0', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_0', 'Dense_2', 'bias'): (768,) +('DiTBlock_0', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_0', 'Dense_3', 'bias'): (768,) +('DiTBlock_0', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_0', 'Dense_4', 'bias'): (768,) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_1', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_1', 'Dense_0', 'bias'): (4608,) +('DiTBlock_1', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_1', 'Dense_1', 'bias'): (768,) +('DiTBlock_1', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_1', 'Dense_2', 'bias'): (768,) +('DiTBlock_1', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_1', 'Dense_3', 'bias'): (768,) +('DiTBlock_1', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_1', 'Dense_4', 'bias'): (768,) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_2', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_2', 'Dense_0', 'bias'): (4608,) +('DiTBlock_2', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_2', 'Dense_1', 'bias'): (768,) +('DiTBlock_2', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_2', 'Dense_2', 'bias'): (768,) +('DiTBlock_2', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_2', 'Dense_3', 'bias'): (768,) +('DiTBlock_2', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_2', 'Dense_4', 'bias'): (768,) +('DiTBlock_2', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_2', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_2', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_2', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_3', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_3', 'Dense_0', 'bias'): (4608,) +('DiTBlock_3', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_3', 'Dense_1', 'bias'): (768,) +('DiTBlock_3', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_3', 'Dense_2', 'bias'): (768,) +('DiTBlock_3', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_3', 'Dense_3', 'bias'): (768,) +('DiTBlock_3', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_3', 'Dense_4', 'bias'): (768,) +('DiTBlock_3', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_3', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_3', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_3', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_4', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_4', 'Dense_0', 'bias'): (4608,) +('DiTBlock_4', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_4', 'Dense_1', 'bias'): (768,) +('DiTBlock_4', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_4', 'Dense_2', 'bias'): (768,) +('DiTBlock_4', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_4', 'Dense_3', 'bias'): (768,) +('DiTBlock_4', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_4', 'Dense_4', 'bias'): (768,) +('DiTBlock_4', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_4', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_4', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_4', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_5', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_5', 'Dense_0', 'bias'): (4608,) +('DiTBlock_5', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_5', 'Dense_1', 'bias'): (768,) +('DiTBlock_5', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_5', 'Dense_2', 'bias'): (768,) +('DiTBlock_5', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_5', 'Dense_3', 'bias'): (768,) +('DiTBlock_5', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_5', 'Dense_4', 'bias'): (768,) +('DiTBlock_5', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_5', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_5', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_5', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_6', 'Dense_0', 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+('DiTBlock_13', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_13', 'Dense_0', 'bias'): (4608,) +('DiTBlock_13', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_13', 'Dense_1', 'bias'): (768,) +('DiTBlock_13', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_13', 'Dense_2', 'bias'): (768,) +('DiTBlock_13', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_13', 'Dense_3', 'bias'): (768,) +('DiTBlock_13', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_13', 'Dense_4', 'bias'): (768,) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_14', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_14', 'Dense_0', 'bias'): (4608,) +('DiTBlock_14', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_14', 'Dense_1', 'bias'): (768,) +('DiTBlock_14', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_14', 'Dense_2', 'bias'): (768,) +('DiTBlock_14', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_14', 'Dense_3', 'bias'): (768,) +('DiTBlock_14', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_14', 'Dense_4', 'bias'): (768,) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_15', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_15', 'Dense_0', 'bias'): (4608,) +('DiTBlock_15', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_15', 'Dense_1', 'bias'): (768,) +('DiTBlock_15', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_15', 'Dense_2', 'bias'): (768,) +('DiTBlock_15', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_15', 'Dense_3', 'bias'): (768,) +('DiTBlock_15', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_15', 'Dense_4', 'bias'): (768,) +('DiTBlock_15', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_15', 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'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_1', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_1', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_1', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_1', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_1', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_1', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_1', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_1', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_1', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_1', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_10', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_10', 'Dense_0', 'kernel'): (1, 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768, 768) +('DiTBlock_9', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_9', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_9', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_9', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_9', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_9', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_9', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_9', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('Embed_0', 'embedding'): (1, 256, 1) +('FinalLayer_0', 'Dense_0', 'bias'): (1, 1536) +('FinalLayer_0', 'Dense_0', 'kernel'): (1, 768, 1536) +('FinalLayer_0', 'Dense_1', 'bias'): (1, 16) +('FinalLayer_0', 'Dense_1', 'kernel'): (1, 768, 16) +('LabelEmbedder_0', 'Embed_0', 'embedding'): (1, 1001, 768) +('PatchEmbed_0', 'Conv_0', 'bias'): (1, 768) +('PatchEmbed_0', 'Conv_0', 'kernel'): (1, 2, 2, 4, 768) +('PatchEmbed_1', 'Conv_0', 'bias'): (1, 768) +('PatchEmbed_1', 'Conv_0', 'kernel'): (1, 2, 2, 4, 768) +('TimestepEmbedder_0', 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+('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_1', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_1', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_1', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_1', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_1', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_1', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_1', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_1', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_1', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_1', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_10', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_10', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_10', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_10', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_10', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_10', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_10', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_10', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_10', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_10', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_11', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_11', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_11', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_11', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_11', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_11', 'Dense_2', 'kernel'): (1, 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+('DiTBlock_14', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_14', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_14', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_14', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_14', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_14', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_14', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_14', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_14', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_14', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_15', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_15', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_15', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_15', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_15', 'Dense_2', 'bias'): (1, 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+('DiTBlock_6', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_6', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_6', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_6', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_7', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_7', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_7', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_7', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_7', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_7', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_7', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_7', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_7', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_7', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_7', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_7', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_7', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_7', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_8', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_8', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_8', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_8', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_8', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_8', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_8', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_8', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_8', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_8', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_8', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_8', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_8', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_8', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_9', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_9', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_9', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_9', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_9', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_9', 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+('TimestepEmbedder_0', 'Dense_0', 'bias'): (1, 768) +('TimestepEmbedder_0', 'Dense_0', 'kernel'): (1, 256, 768) +('TimestepEmbedder_0', 'Dense_1', 'bias'): (1, 768) +('TimestepEmbedder_0', 'Dense_1', 'kernel'): (1, 768, 768) +('TimestepEmbedder_1', 'Dense_0', 'bias'): (1, 768) +('TimestepEmbedder_1', 'Dense_0', 'kernel'): (1, 256, 768) +('TimestepEmbedder_1', 'Dense_1', 'bias'): (1, 768) +('TimestepEmbedder_1', 'Dense_1', 'kernel'): (1, 768, 768) + + parameter shapes: +('DiTBlock_0', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_0', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_0', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_0', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_0', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_0', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_0', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_0', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_0', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_1', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_1', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_1', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_1', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_1', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_1', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_1', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_1', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_1', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_1', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_10', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_10', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_10', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_10', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_10', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_10', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_10', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_10', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_10', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_10', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_11', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_11', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_11', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_11', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_11', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_11', 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+('DiTBlock_12', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_12', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_12', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_12', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_13', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_13', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_13', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_13', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_13', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_13', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_13', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_13', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_13', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_13', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_14', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_14', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_14', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_14', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_14', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_14', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_14', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_14', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_14', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_14', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_15', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_15', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_15', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_15', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_15', 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+('DiTBlock_10', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_10', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_10', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_10', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_10', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_10', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_10', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_10', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_10', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_10', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_11', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_11', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_11', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_11', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_11', 'Dense_2', 'bias'): (1, 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(1, 768, 768) +('DiTBlock_12', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_12', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_12', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_12', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_13', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_13', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_13', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_13', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_13', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_13', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_13', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_13', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_13', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_13', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_13', 'SwiGLUFFN_0', 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+('DiTBlock_15', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_15', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_15', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_15', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_15', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_15', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_15', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_15', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_15', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_15', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_2', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_2', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_2', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_2', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_2', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_2', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_2', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_2', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_2', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_2', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_2', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_2', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_2', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_2', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_3', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_3', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_3', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_3', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_3', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_3', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_3', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_3', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_3', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_3', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_3', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_3', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_3', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_3', 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+('DiTBlock_5', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_5', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_5', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_5', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_5', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_5', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_5', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_5', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_5', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_5', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_6', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_6', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_6', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_6', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_6', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_6', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_6', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_6', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_6', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_6', 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'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_8', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_8', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_8', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_8', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_8', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_8', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_8', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_8', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_8', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_8', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_8', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_8', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_8', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_8', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('DiTBlock_9', 'Dense_0', 'bias'): (1, 4608) +('DiTBlock_9', 'Dense_0', 'kernel'): (1, 768, 4608) +('DiTBlock_9', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_9', 'Dense_1', 'kernel'): (1, 768, 768) +('DiTBlock_9', 'Dense_2', 'bias'): (1, 768) +('DiTBlock_9', 'Dense_2', 'kernel'): (1, 768, 768) +('DiTBlock_9', 'Dense_3', 'bias'): (1, 768) +('DiTBlock_9', 'Dense_3', 'kernel'): (1, 768, 768) +('DiTBlock_9', 'Dense_4', 'bias'): (1, 768) +('DiTBlock_9', 'Dense_4', 'kernel'): (1, 768, 768) +('DiTBlock_9', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (1, 4096) +('DiTBlock_9', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (1, 768, 4096) +('DiTBlock_9', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (1, 768) +('DiTBlock_9', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (1, 2048, 768) +('Embed_0', 'embedding'): (1, 256, 1) +('FinalLayer_0', 'Dense_0', 'bias'): (1, 1536) +('FinalLayer_0', 'Dense_0', 'kernel'): (1, 768, 1536) +('FinalLayer_0', 'Dense_1', 'bias'): (1, 16) +('FinalLayer_0', 'Dense_1', 'kernel'): (1, 768, 16) +('LabelEmbedder_0', 'Embed_0', 'embedding'): (1, 1001, 768) +('PatchEmbed_0', 'Conv_0', 'bias'): (1, 768) +('PatchEmbed_0', 'Conv_0', 'kernel'): (1, 2, 2, 4, 768) +('PatchEmbed_1', 'Conv_0', 'bias'): (1, 768) +('PatchEmbed_1', 'Conv_0', 'kernel'): (1, 2, 2, 4, 768) +('TimestepEmbedder_0', 'Dense_0', 'bias'): (1, 768) +('TimestepEmbedder_0', 'Dense_0', 'kernel'): (1, 256, 768) +('TimestepEmbedder_0', 'Dense_1', 'bias'): (1, 768) +('TimestepEmbedder_0', 'Dense_1', 'kernel'): (1, 768, 768) +('TimestepEmbedder_1', 'Dense_0', 'bias'): (1, 768) +('TimestepEmbedder_1', 'Dense_0', 'kernel'): (1, 256, 768) +('TimestepEmbedder_1', 'Dense_1', 'bias'): (1, 768) +('TimestepEmbedder_1', 'Dense_1', 'kernel'): (1, 768, 768) + + parameter shapes: +('DiTBlock_0', 'Dense_0', 'bias'): (4608,) +('DiTBlock_0', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_0', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_0', 'Dense_2', 'bias'): (768,) +('DiTBlock_0', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_0', 'Dense_3', 'bias'): (768,) +('DiTBlock_0', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_0', 'Dense_4', 'bias'): (768,) +('DiTBlock_0', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_0', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_1', 'Dense_0', 'bias'): (4608,) +('DiTBlock_1', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_1', 'Dense_1', 'bias'): (768,) +('DiTBlock_1', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_1', 'Dense_2', 'bias'): (768,) +('DiTBlock_1', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_1', 'Dense_3', 'bias'): (768,) +('DiTBlock_1', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_1', 'Dense_4', 'bias'): (768,) +('DiTBlock_1', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_1', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_10', 'Dense_0', 'bias'): (4608,) +('DiTBlock_10', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_10', 'Dense_1', 'bias'): (768,) +('DiTBlock_10', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_10', 'Dense_2', 'bias'): (768,) +('DiTBlock_10', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_10', 'Dense_3', 'bias'): (768,) +('DiTBlock_10', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_10', 'Dense_4', 'bias'): (768,) +('DiTBlock_10', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_10', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_11', 'Dense_0', 'bias'): (4608,) +('DiTBlock_11', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_11', 'Dense_1', 'bias'): (768,) +('DiTBlock_11', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_11', 'Dense_2', 'bias'): (768,) +('DiTBlock_11', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_11', 'Dense_3', 'bias'): (768,) +('DiTBlock_11', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_11', 'Dense_4', 'bias'): (768,) +('DiTBlock_11', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_11', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_11', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_11', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_11', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_12', 'Dense_0', 'bias'): (4608,) +('DiTBlock_12', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_12', 'Dense_1', 'bias'): (768,) +('DiTBlock_12', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_12', 'Dense_2', 'bias'): (768,) +('DiTBlock_12', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_12', 'Dense_3', 'bias'): (768,) +('DiTBlock_12', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_12', 'Dense_4', 'bias'): (768,) +('DiTBlock_12', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_12', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_12', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_12', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_12', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_13', 'Dense_0', 'bias'): (4608,) +('DiTBlock_13', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_13', 'Dense_1', 'bias'): (768,) +('DiTBlock_13', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_13', 'Dense_2', 'bias'): (768,) +('DiTBlock_13', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_13', 'Dense_3', 'bias'): (768,) +('DiTBlock_13', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_13', 'Dense_4', 'bias'): (768,) +('DiTBlock_13', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_13', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_14', 'Dense_0', 'bias'): (4608,) +('DiTBlock_14', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_14', 'Dense_1', 'bias'): (768,) +('DiTBlock_14', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_14', 'Dense_2', 'bias'): (768,) +('DiTBlock_14', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_14', 'Dense_3', 'bias'): (768,) +('DiTBlock_14', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_14', 'Dense_4', 'bias'): (768,) +('DiTBlock_14', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_14', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_15', 'Dense_0', 'bias'): (4608,) +('DiTBlock_15', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_15', 'Dense_1', 'bias'): (768,) +('DiTBlock_15', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_15', 'Dense_2', 'bias'): (768,) +('DiTBlock_15', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_15', 'Dense_3', 'bias'): (768,) +('DiTBlock_15', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_15', 'Dense_4', 'bias'): (768,) +('DiTBlock_15', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_15', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_15', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_15', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_15', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_2', 'Dense_0', 'bias'): (4608,) +('DiTBlock_2', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_2', 'Dense_1', 'bias'): (768,) +('DiTBlock_2', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_2', 'Dense_2', 'bias'): (768,) +('DiTBlock_2', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_2', 'Dense_3', 'bias'): (768,) +('DiTBlock_2', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_2', 'Dense_4', 'bias'): (768,) +('DiTBlock_2', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_2', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_2', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_2', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_2', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_3', 'Dense_0', 'bias'): (4608,) +('DiTBlock_3', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_3', 'Dense_1', 'bias'): (768,) +('DiTBlock_3', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_3', 'Dense_2', 'bias'): (768,) +('DiTBlock_3', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_3', 'Dense_3', 'bias'): (768,) +('DiTBlock_3', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_3', 'Dense_4', 'bias'): (768,) +('DiTBlock_3', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_3', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_3', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_3', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_3', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_4', 'Dense_0', 'bias'): (4608,) +('DiTBlock_4', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_4', 'Dense_1', 'bias'): (768,) +('DiTBlock_4', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_4', 'Dense_2', 'bias'): (768,) +('DiTBlock_4', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_4', 'Dense_3', 'bias'): (768,) +('DiTBlock_4', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_4', 'Dense_4', 'bias'): (768,) +('DiTBlock_4', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_4', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_4', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_4', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_4', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_5', 'Dense_0', 'bias'): (4608,) +('DiTBlock_5', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_5', 'Dense_1', 'bias'): (768,) +('DiTBlock_5', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_5', 'Dense_2', 'bias'): (768,) +('DiTBlock_5', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_5', 'Dense_3', 'bias'): (768,) +('DiTBlock_5', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_5', 'Dense_4', 'bias'): (768,) +('DiTBlock_5', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_5', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_5', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_5', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_5', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_6', 'Dense_0', 'bias'): (4608,) +('DiTBlock_6', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_6', 'Dense_1', 'bias'): (768,) +('DiTBlock_6', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_6', 'Dense_2', 'bias'): (768,) +('DiTBlock_6', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_6', 'Dense_3', 'bias'): (768,) +('DiTBlock_6', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_6', 'Dense_4', 'bias'): (768,) +('DiTBlock_6', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_6', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_6', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_6', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_6', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_7', 'Dense_0', 'bias'): (4608,) +('DiTBlock_7', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_7', 'Dense_1', 'bias'): (768,) +('DiTBlock_7', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_7', 'Dense_2', 'bias'): (768,) +('DiTBlock_7', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_7', 'Dense_3', 'bias'): (768,) +('DiTBlock_7', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_7', 'Dense_4', 'bias'): (768,) +('DiTBlock_7', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_7', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_7', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_7', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_7', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_8', 'Dense_0', 'bias'): (4608,) +('DiTBlock_8', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_8', 'Dense_1', 'bias'): (768,) +('DiTBlock_8', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_8', 'Dense_2', 'bias'): (768,) +('DiTBlock_8', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_8', 'Dense_3', 'bias'): (768,) +('DiTBlock_8', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_8', 'Dense_4', 'bias'): (768,) +('DiTBlock_8', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_8', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_8', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_8', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_8', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('DiTBlock_9', 'Dense_0', 'bias'): (4608,) +('DiTBlock_9', 'Dense_0', 'kernel'): (768, 4608) +('DiTBlock_9', 'Dense_1', 'bias'): (768,) +('DiTBlock_9', 'Dense_1', 'kernel'): (768, 768) +('DiTBlock_9', 'Dense_2', 'bias'): (768,) +('DiTBlock_9', 'Dense_2', 'kernel'): (768, 768) +('DiTBlock_9', 'Dense_3', 'bias'): (768,) +('DiTBlock_9', 'Dense_3', 'kernel'): (768, 768) +('DiTBlock_9', 'Dense_4', 'bias'): (768,) +('DiTBlock_9', 'Dense_4', 'kernel'): (768, 768) +('DiTBlock_9', 'SwiGLUFFN_0', 'Dense_0', 'bias'): (4096,) +('DiTBlock_9', 'SwiGLUFFN_0', 'Dense_0', 'kernel'): (768, 4096) +('DiTBlock_9', 'SwiGLUFFN_0', 'Dense_1', 'bias'): (768,) +('DiTBlock_9', 'SwiGLUFFN_0', 'Dense_1', 'kernel'): (2048, 768) +('Embed_0', 'embedding'): (256, 1) +('FinalLayer_0', 'Dense_0', 'bias'): (1536,) +('FinalLayer_0', 'Dense_0', 'kernel'): (768, 1536) +('FinalLayer_0', 'Dense_1', 'bias'): (16,) +('FinalLayer_0', 'Dense_1', 'kernel'): (768, 16) +('LabelEmbedder_0', 'Embed_0', 'embedding'): (1001, 768) +('PatchEmbed_0', 'Conv_0', 'bias'): (768,) +('PatchEmbed_0', 'Conv_0', 'kernel'): (2, 2, 4, 768) +('PatchEmbed_1', 'Conv_0', 'bias'): (768,) +('PatchEmbed_1', 'Conv_0', 'kernel'): (2, 2, 4, 768) +('TimestepEmbedder_0', 'Dense_0', 'bias'): (768,) +('TimestepEmbedder_0', 'Dense_0', 'kernel'): (256, 768) +('TimestepEmbedder_0', 'Dense_1', 'bias'): (768,) +('TimestepEmbedder_0', 'Dense_1', 'kernel'): (768, 768) +('TimestepEmbedder_1', 'Dense_0', 'bias'): (768,) +('TimestepEmbedder_1', 'Dense_0', 'kernel'): (256, 768) +('TimestepEmbedder_1', 'Dense_1', 'bias'): (768,) +('TimestepEmbedder_1', 'Dense_1', 'kernel'): (768, 768) +┌────────────────────────────────────────────────┐ +│ │ +│ │ +│ │ +│ │ +│ TPU 0,1,2,3 │ +│ │ +│ │ +│ │ +│ │ +└────────────────────────────────────────────────┘ +┌─────────────────────────────────────────────────────────────────────────┐ +│ │ +│ │ +│ │ +│ │ +│ TPU 0,1,2,3 │ +│ │ +│ │ +│ │ +│ │ +└─────────────────────────────────────────────────────────────────────────┘ +doing the else +Calc FID for CFG 1.0 and denoise_timesteps 128 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 19.030563354492188 +Calc FID for CFG 1.0 and denoise_timesteps 64 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 7.497103214263916 +Calc FID for CFG 1.0 and denoise_timesteps 32 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 7.5203471183776855 +Calc FID for CFG 1.0 and denoise_timesteps 16 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 8.579471588134766 +Calc FID for CFG 1.0 and denoise_timesteps 8 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 9.494443893432617 +Calc FID for CFG 1.0 and denoise_timesteps 4 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 10.880561828613281 +Calc FID for CFG 1.0 and denoise_timesteps 2 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 14.096650123596191 +Calc FID for CFG 1.0 and denoise_timesteps 1 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 23.6330509185791 +Calc FID for CFG 1.25 and denoise_timesteps 128 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 8.930646896362305 +Calc FID for CFG 1.25 and denoise_timesteps 64 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 5.403145790100098 +Calc FID for CFG 1.25 and denoise_timesteps 32 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 5.9429030418396 +Calc FID for CFG 1.25 and denoise_timesteps 16 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 6.475409030914307 +Calc FID for CFG 1.25 and denoise_timesteps 8 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 7.1563849449157715 +Calc FID for CFG 1.25 and denoise_timesteps 4 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 8.106927871704102 +Calc FID for CFG 1.25 and denoise_timesteps 2 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 10.463984489440918 +Calc FID for CFG 1.25 and denoise_timesteps 1 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 17.185596466064453 +Calc FID for CFG 1.5 and denoise_timesteps 128 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 5.212055206298828 +Calc FID for CFG 1.5 and denoise_timesteps 64 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 6.722116947174072 +Calc FID for CFG 1.5 and denoise_timesteps 32 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 7.259189128875732 +Calc FID for CFG 1.5 and denoise_timesteps 16 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 7.333062171936035 +Calc FID for CFG 1.5 and denoise_timesteps 8 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 7.66499137878418 +Calc FID for CFG 1.5 and denoise_timesteps 4 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 8.160123825073242 +Calc FID for CFG 1.5 and denoise_timesteps 2 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 9.903474807739258 +Calc FID for CFG 1.5 and denoise_timesteps 1 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 17.183258056640625 +Calc FID for CFG 1.75 and denoise_timesteps 128 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 4.683565616607666 +Calc FID for CFG 1.75 and denoise_timesteps 64 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 8.793203353881836 +Calc FID for CFG 1.75 and denoise_timesteps 32 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 9.255949974060059 +Calc FID for CFG 1.75 and denoise_timesteps 16 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 8.962433815002441 +Calc FID for CFG 1.75 and denoise_timesteps 8 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 8.958431243896484 +Calc FID for CFG 1.75 and denoise_timesteps 4 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 8.955756187438965 +Calc FID for CFG 1.75 and denoise_timesteps 2 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 10.353811264038086 +Calc FID for CFG 1.75 and denoise_timesteps 1 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 20.333818435668945 +Calc FID for CFG 2.0 and denoise_timesteps 128 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 5.635135650634766 +Calc FID for CFG 2.0 and denoise_timesteps 64 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 10.85002613067627 +Calc FID for CFG 2.0 and denoise_timesteps 32 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 11.22760009765625 +Calc FID for CFG 2.0 and denoise_timesteps 16 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 10.645824432373047 +Calc FID for CFG 2.0 and denoise_timesteps 8 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 10.306733131408691 +Calc FID for CFG 2.0 and denoise_timesteps 4 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 9.894743919372559 +Calc FID for CFG 2.0 and denoise_timesteps 2 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 11.22502613067627 +Calc FID for CFG 2.0 and denoise_timesteps 1 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 25.671276092529297 +Calc FID for CFG 2.25 and denoise_timesteps 128 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 7.071791648864746 +Calc FID for CFG 2.25 and denoise_timesteps 64 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 12.744491577148438 +Calc FID for CFG 2.25 and denoise_timesteps 32 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 12.991622924804688 +Calc FID for CFG 2.25 and denoise_timesteps 16 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 12.234328269958496 +Calc FID for CFG 2.25 and denoise_timesteps 8 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 11.56308364868164 +Calc FID for CFG 2.25 and denoise_timesteps 4 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 10.791813850402832 +Calc FID for CFG 2.25 and denoise_timesteps 2 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 12.453057289123535 +Calc FID for CFG 2.25 and denoise_timesteps 1 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 32.027835845947266 +Calc FID for CFG 2.5 and denoise_timesteps 128 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 8.65577507019043 +Calc FID for CFG 2.5 and denoise_timesteps 64 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 14.345664978027344 +Calc FID for CFG 2.5 and denoise_timesteps 32 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 14.486617088317871 +Calc FID for CFG 2.5 and denoise_timesteps 16 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 13.632938385009766 +Calc FID for CFG 2.5 and denoise_timesteps 8 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 12.714519500732422 +Calc FID for CFG 2.5 and denoise_timesteps 4 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 11.607851028442383 +Calc FID for CFG 2.5 and denoise_timesteps 2 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 14.07174301147461 +Calc FID for CFG 2.5 and denoise_timesteps 1 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 38.58452606201172 +Calc FID for CFG 2.75 and denoise_timesteps 128 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 10.172319412231445 +Calc FID for CFG 2.75 and denoise_timesteps 64 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 15.70699405670166 +Calc FID for CFG 2.75 and denoise_timesteps 32 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 15.715978622436523 +Calc FID for CFG 2.75 and denoise_timesteps 16 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 14.797073364257812 +Calc FID for CFG 2.75 and denoise_timesteps 8 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 13.695425033569336 +Calc FID for CFG 2.75 and denoise_timesteps 4 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 12.44005012512207 +Calc FID for CFG 2.75 and denoise_timesteps 2 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 16.097639083862305 +Calc FID for CFG 2.75 and denoise_timesteps 1 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 44.89699935913086 +Calc FID for CFG 3.0 and denoise_timesteps 128 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 11.584989547729492 +Calc FID for CFG 3.0 and denoise_timesteps 64 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 16.789257049560547 +Calc FID for CFG 3.0 and denoise_timesteps 32 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 16.859201431274414 +Calc FID for CFG 3.0 and denoise_timesteps 16 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 15.858223915100098 +Calc FID for CFG 3.0 and denoise_timesteps 8 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 14.527950286865234 +Calc FID for CFG 3.0 and denoise_timesteps 4 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 13.367181777954102 +Calc FID for CFG 3.0 and denoise_timesteps 2 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 18.537357330322266 +Calc FID for CFG 3.0 and denoise_timesteps 1 +DiT: Input of shape (256, 32, 32, 4) dtype float32 +DiT: After patch embed, shape is (256, 256, 768) dtype bfloat16 +DiT: Patch Embed of shape (256, 256, 768) dtype bfloat16 +DiT: Conditioning of shape (256, 768) dtype float32 +selfh idden 768 +self heads 12 +hw_swq 16 +xshape (256, 256, 768) +FID is 50.667083740234375