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Results 1 - 2 of 2 for num_slices (0.09 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.td
def DequantizeHalfRange : NativeCodeCall< "DequantizeHalfRange(&$_builder, $0)">; // TODO(b/188530181): Generalize to more quantized input types, // allow num_slices > 1, and allow non default arguments for $mode, // $narrow_range, and $axis. def LowerDequantizeOp : Pat< (TF_DequantizeOp:$result $input, $min_range, $max_range, TF_AnyStrAttrOf<["MIN_COMBINED"]>:$mode,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 04 13:30:42 UTC 2024 - 24.7K bytes - Viewed (0) -
test/typeparam/issue51925.go
} return result } func min[T IntLike](x, y T) T { if x < y { return x } return y } // Min returns the minimum element of `nums`. func Min[T IntLike, NumSlice ~[]T](nums NumSlice) T { if len(nums) == 0 { return T(0) } return Reduce(min[T], nums, nums[0]) } // VarMin is the variadic version of Min. func VarMin[T IntLike](nums ...T) T { return Min(nums) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Dec 14 17:22:18 UTC 2023 - 963 bytes - Viewed (0)