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fix t-z class on OrangePi #2228

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Merged
merged 1 commit into from
Nov 1, 2025
Merged

fix t-z class on OrangePi #2228

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16 changes: 11 additions & 5 deletions mindtorch/_apis/npu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -893,6 +893,10 @@ def bmm(input, other):
return pyboost.bmm_ext_op(input, other)
return legacy.batch_mat_mul(input, other, False, False)

def topk_legacy(input, k, sorted):
out = legacy.top_k(input, k, sorted)
return out[0], cast(out[1], mindspore.int64)

def topk(input, k, dim, largest, sorted):
if use_pyboost() and not ON_ORANGE_PI:
return pyboost.topk_ext_op(input, k, dim, largest, sorted)
Expand All @@ -901,12 +905,12 @@ def topk(input, k, dim, largest, sorted):
input = -input
if dim is None or dim == input.ndim - 1:
if not largest:
res = legacy.top_k(input, k, sorted)
res = topk_legacy(input, k, sorted)
values, indices = -res[0], res[1]
return values, indices
return legacy.top_k(input, k, sorted)
return topk_legacy(input, k, sorted)
input = transpose_view(input, dim, input.ndim - 1)
output = legacy.top_k(input, k, sorted)
output = topk_legacy(input, k, sorted)
values = transpose_view(output[0], dim, input.ndim - 1)
indices = transpose_view(output[1], dim, input.ndim - 1)
if not largest:
Expand Down Expand Up @@ -1541,9 +1545,11 @@ def diag(input, diagonal):
return legacy.diag(input, diagonal)

def logsigmoid(input):
if use_pyboost():
if use_pyboost() and not ON_ORANGE_PI:
return pyboost.logsigmoid_op(input)
return legacy.logsigmoid(input)
output = sigmoid(input)
ret = log(output)
return ret

def one_hot(tensor, num_classes):
if use_pyboost():
Expand Down