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Backport master #17673 to v1.7 branch : change error tolerance for bf16 bn #18110

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6 changes: 3 additions & 3 deletions tests/python/mkl/test_bf16_operator.py
Original file line number Diff line number Diff line change
Expand Up @@ -126,8 +126,8 @@ def test_bf16_bn():
bn_fp32 = mx.sym.BatchNorm(data_sym_fp32, **bn_params)

bn_bf16 = mx.sym.BatchNorm(data_sym_bf16, **bn_params)
check_operator_accuracy(sym_fp32=bn_fp32, sym_bf16=bn_bf16, data_shape=(3, 32, 28, 28), bf16_use_fp32_params=True, etol=1e-3)
check_operator_accuracy(sym_fp32=bn_fp32, sym_bf16=bn_bf16, data_shape=(32, 16, 64, 64), bf16_use_fp32_params=True, etol=1e-3)
check_operator_accuracy(sym_fp32=bn_fp32, sym_bf16=bn_bf16, data_shape=(3, 32, 28, 28), bf16_use_fp32_params=True, etol=1e-2)
check_operator_accuracy(sym_fp32=bn_fp32, sym_bf16=bn_bf16, data_shape=(32, 16, 64, 64), bf16_use_fp32_params=True, etol=1e-2)

@with_seed()
def test_bf16_conv():
Expand Down Expand Up @@ -278,7 +278,7 @@ def test_bf16_fallback():
bn_params = {"eps": 2e-05, "fix_gamma": False, "use_global_stats": True, "name": "bn"}
bn_fp32 = mx.sym.BatchNorm(data_sym_fp32, **bn_params)
bn_bf16=mx.sym.BatchNorm(data_sym_bf16, **bn_params)
check_operator_accuracy(sym_fp32=bn_fp32, sym_bf16=bn_bf16, data_shape=(3, 32, 28, 28, 3), bf16_use_fp32_params=True, etol=1e-3)
check_operator_accuracy(sym_fp32=bn_fp32, sym_bf16=bn_bf16, data_shape=(3, 32, 28, 28, 3), bf16_use_fp32_params=True, etol=1e-2)

conv_params = {"kernel": (3, 3, 3), "num_filter": 128, "pad": (1, 1, 1), "stride": (1, 1, 1), "no_bias": True, "name": "conv"}
conv_fp32 = mx.sym.Convolution(data_sym_fp32, **conv_params)
Expand Down