homebred v conda: cannot build cifar example about mlx-examples HOT 4 CLOSED

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Epoch 00 [080] | Train loss 1.609 | Train acc 0.410 | Throughput: 2588.24 images/second
Epoch 00 [090] | Train loss 1.580 | Train acc 0.359 | Throughput: 2588.09 images/second
Epoch 00 [100] | Train loss 1.635 | Train acc 0.398 | Throughput: 2557.45 images/second
Epoch 00 [110] | Train loss 1.408 | Train acc 0.488 | Throughput: 2566.57 images/second
Epoch 00 [120] | Train loss 1.410 | Train acc 0.500 | Throughput: 2580.58 images/second
Epoch 00 [130] | Train loss 1.477 | Train acc 0.438 | Throughput: 2565.19 images/second
Epoch 00 [140] | Train loss 1.396 | Train acc 0.488 | Throughput: 2588.39 images/second
Epoch 00 [150] | Train loss 1.426 | Train acc 0.449 | Throughput: 2577.05 images/second
Epoch 00 [160] | Train loss 1.430 | Train acc 0.488 | Throughput: 2562.38 images/second
Epoch 00 [170] | Train loss 1.370 | Train acc 0.484 | Throughput: 2587.62 images/second
Epoch 00 [180] | Train loss 1.362 | Train acc 0.480 | Throughput: 2595.86 images/second
Epoch 00 [190] | Train loss 1.154 | Train acc 0.590 | Throughput: 2579.88 images/second
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Epoch 01 [010] | Train loss 1.266 | Train acc 0.539 | Throughput: 4963.58 images/second
Epoch 01 [020] | Train loss 1.248 | Train acc 0.555 | Throughput: 4992.35 images/second
Epoch 01 [030] | Train loss 1.335 | Train acc 0.484 | Throughput: 4811.33 images/second
Epoch 01 [040] | Train loss 1.363 | Train acc 0.535 | Throughput: 4922.65 images/second
Epoch 01 [050] | Train loss 1.364 | Train acc 0.484 | Throughput: 4850.03 images/second
Epoch 01 [060] | Train loss 1.179 | Train acc 0.570 | Throughput: 4912.40 images/second
Epoch 01 [070] | Train loss 1.214 | Train acc 0.598 | Throughput: 4818.70 images/second
Epoch 01 [080] | Train loss 1.174 | Train acc 0.590 | Throughput: 4917.31 images/second
Epoch 01 [090] | Train loss 1.152 | Train acc 0.586 | Throughput: 4900.87 images/second
Epoch 01 [100] | Train loss 1.167 | Train acc 0.566 | Throughput: 4939.23 images/second
Epoch 01 [110] | Train loss 1.102 | Train acc 0.570 | Throughput: 4930.13 images/second
Epoch 01 [120] | Train loss 1.100 | Train acc 0.625 | Throughput: 4845.19 images/second
Epoch 01 [130] | Train loss 1.178 | Train acc 0.594 | Throughput: 4858.89 images/second
Epoch 01 [140] | Train loss 1.052 | Train acc 0.590 | Throughput: 4864.82 images/second

python -c "from mlx.data.datasets import load_cifar10"