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!39499 codecheck_fix 

Merge pull request !39499 from panfengfeng/codecheck_fix
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i-robot 2022-08-03 06:42:09 +00:00 committed by Gitee
parent d8a500c4f6 fbc7d9ad92
commit 2fe5c963c6
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GPG Key ID: 173E9B9CA92EEF8F
6 changed files with 10 additions and 10 deletions
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1
mindspore/ccsrc/plugin/device/cpu/kernel/ctc_greedy_decoder_cpu_kernel.cc
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@ -18,7 +18,6 @@
#include <algorithm>
#include <utility>
#include <cmath>
#include <map>
#include <set>
#include <numeric>

5
mindspore/ccsrc/plugin/device/cpu/kernel/grid_sampler_2d_cpu_kernel.cc
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@ -143,7 +143,10 @@ void GridSampler2DCpuKernelMod::ComputeTask(float16 *x_addr, float16 *grid_addr,
count--;
}
out_iter[count] = out_iter[kOne] % LongToSize(output_shape_[count]);
out_iter[1] /= LongToSize(output_shape_[count--]);
out_iter[1] /= LongToSize(output_shape_[count]);
if (count > 0) {
count--;
}
}
const size_t out_c = LongToSize(output_shape_[kOne]);
int64_t grid_offset =

2
mindspore/ccsrc/plugin/device/cpu/kernel/truncate_div_cpu_kernel.cc
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@ -77,7 +77,7 @@ bool TruncateDivCpuKernelMod::LaunchKernel(const std::vector<kernel::AddressPtr>
for (size_t i = start; i < end; ++i) {
auto dividend = input_addr_a[i];
auto divisor = input_addr_b[i];
auto zero = (T)0;
auto zero = static_cast<T>(0);
if (divisor == zero) {
if (dividend == zero) {
output_addr[i] = std::numeric_limits<T>::quiet_NaN();

2
mindspore/ccsrc/plugin/device/cpu/kernel/truncate_mod_cpu_kernel.cc
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@ -94,7 +94,7 @@ bool TruncateModCpuKernelMod::LaunchKernel(const std::vector<kernel::AddressPtr>
for (size_t i = start; i < end; ++i) {
auto dividend = input_addr_a[i];
auto divisor = input_addr_b[i];
auto zero = (T)0;
auto zero = static_cast<T>(0);
if (divisor == zero) {
if (dividend == zero) {
output_addr[i] = std::numeric_limits<T>::quiet_NaN();

2
mindspore/python/mindspore/ops/function/array_func.py
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@ -3175,7 +3175,7 @@ def affine_grid(theta, output_size, align_corners=False):
>>> import mindspore.ops as ops
>>> theta = Tensor([[[0.8, 0.5, 0],[-0.5, 0.8, 0]]], mindspore.float32)
>>> out_size = (1, 3, 2, 3)
>>> output = op.affine_grid(theta, out_size, False)
>>> output = ops.affine_grid(theta, out_size, False)
>>> print(output)
[[[[-0.78333336 -0.06666666]
[-0.25 -0.4 ]

8
mindspore/python/mindspore/ops/function/math_func.py
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@ -2287,8 +2287,7 @@ def truncate_div(x, y):
Examples:
>>> x = Tensor(np.array([2, 4, -1]), mindspore.int32)
>>> y = Tensor(np.array([3, 3, 3]), mindspore.int32)
>>> truncate_div = ops.truncate_div()
>>> output = truncate_div(x, y)
>>> output = ops.truncate_div(x, y)
>>> print(output)
[0 1 0]
"""
@ -2327,15 +2326,14 @@ def truncate_mod(x, y):
Examples:
>>> x = Tensor(np.array([2, 4, -1]), mindspore.int32)
>>> y = Tensor(np.array([3, 3, 3]), mindspore.int32)
>>> truncate_mod = ops.truncate_mod()
>>> output = truncate_mod(x, y)
>>> output = ops.truncate_mod(x, y)
>>> print(output)
[ 2 1 -1]
"""
return truncate_mod_(x, y)
def trunc(x):
def trunc(input_x):
r"""
Returns a new tensor with the truncated integer values of the elements of input.