提交 bebe9e0e 编写于 作者: W wenkai

update histogram summary doc, add tips about histogram summary performance.

上级 29e26f19
......@@ -80,7 +80,6 @@ class MyOptimizer(Optimizer):
# Initialize ScalarSummary
self.sm_scalar = P.ScalarSummary()
self.histogram_summary = P.HistogramSummary()
self.param_count = len(self.parameters)
self.weight_names = [param.name for param in self.parameters]
def construct(self, grads):
......@@ -89,8 +88,9 @@ class MyOptimizer(Optimizer):
self.sm_scalar("learning_rate", learning_rate)
# Record weight
for i in range(self.param_count):
self.histogram_summary(self.weight_names[i], self.paramters[i])
self.histogram_summary(self.weight_names[0], self.paramters[0])
# Record gradient
self.histogram_summary(self.weight_names[0] + ".gradient", grads[0])
......
......@@ -169,6 +169,8 @@ Use the `save_graphs` option of `context` to record the computational graph afte
> Currently MindSpore supports recording computational graph after operator fusion for Ascend 910 AI processor only.
> It's recommended that you reduce calls to `HistogramSummary` under 10 times per batch. The more you call `HistogramSummary`, the more performance overhead.
## MindInsight Commands
### View the command help information.
......@@ -388,4 +390,4 @@ Figure 16 shows the function area of the parameter distribution histogram, inclu
- Tag selection: Select the required tags to view the corresponding histogram.
- Vertical axis: Select any of `Step`, `Relative time`, and `Absolute time` as the data displayed on the vertical axis of the histogram.
- Angle of view: Select either `Front` or `Top`. `Front` view refers to viewing the histogram from the front view. In this case, data between different steps is overlapped. `Top` view refers to viewing the histogram at an angle of 45 degrees. In this case, data between different steps can be presented.
\ No newline at end of file
- Angle of view: Select either `Front` or `Top`. `Front` view refers to viewing the histogram from the front view. In this case, data between different steps is overlapped. `Top` view refers to viewing the histogram at an angle of 45 degrees. In this case, data between different steps can be presented.
......@@ -85,7 +85,6 @@ class MyOptimizer(Optimizer):
# Initialize ScalarSummary
self.sm_scalar = P.ScalarSummary()
self.histogram_summary = P.HistogramSummary()
self.param_count = len(self.parameters)
self.weight_names = [param.name for param in self.parameters]
def construct(self, grads):
......@@ -94,8 +93,9 @@ class MyOptimizer(Optimizer):
self.sm_scalar("learning_rate", learning_rate)
# Record weight
for i in range(self.param_count):
self.histogram_summary(self.weight_names[i], self.paramters[i])
self.histogram_summary(self.weight_names[0], self.paramters[0])
# Record gradient
self.histogram_summary(self.weight_names[0] + ".gradient", grads[0])
......
......@@ -175,6 +175,8 @@ def test_summary():
> 目前MindSpore仅支持在Ascend 910 AI处理器上导出算子融合后的计算图。
> 一个batch中,`HistogramSummary`算子的调用次数请尽量控制在10次以下,调用次数越多,性能开销越大。
## MindInsight相关命令
### 查看命令帮助信息
......
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