Merge pull request #112 from Yulv-git/typos1

Fix some typos.
huawei-noah · May 30, 2022 · f01d046 · f01d046
2 parents 06549a5 + f2d1e3b
commit f01d046
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Showing 6 changed files with 7 additions and 7 deletions.
diff --git a/common/gcl/include/platform.h b/common/gcl/include/platform.h
@@ -169,7 +169,7 @@ inline EE list_platform_info(Platform p)
  * @brief get devices in platform, and allocate space for storing devices
  * @warning please free space of devices allocated in this function
  *
- * @param p		input, specify platform, device will be retrived from this platform
+ * @param p		input, specify platform, device will be retrieved from this platform
  * @param type		input, specify device type
  * @param num_devices	output, return device number with type in platform p
  * @param devices	output, return devices

diff --git a/compute/tensor/src/cpu/arm/int8/v8.2/convolution_winograd_A55.cpp b/compute/tensor/src/cpu/arm/int8/v8.2/convolution_winograd_A55.cpp
@@ -34,7 +34,7 @@ EE convolution_winograd_A55(TensorDesc inputDesc,
     UNUSED(biasDesc);
     UNUSED(tmpBytes);
 
-    // not truely one_step. Compute hw12*(6*6)*ic at one time.
+    // not truly one_step. Compute hw12*(6*6)*ic at one time.
     DataType idt, fdt, odt;
     DataFormat idf, fdf, odf;
     U32 in, ic, ih, iw;

diff --git a/compute/tensor/src/cpu/arm/int8/v8.2/convolution_winograd_A76.cpp b/compute/tensor/src/cpu/arm/int8/v8.2/convolution_winograd_A76.cpp
@@ -34,7 +34,7 @@ EE convolution_winograd_A76(TensorDesc inputDesc,
     UNUSED(biasDesc);
     UNUSED(tmpBytes);
 
-    // not truely one_step. Compute hw12*(6*6)*ic at one time.
+    // not truly one_step. Compute hw12*(6*6)*ic at one time.
     DataType idt, fdt, odt;
     DataFormat idf, fdf, odf;
     U32 in, ic, ih, iw;

diff --git a/third_party/proto/caffe.proto b/third_party/proto/caffe.proto
@@ -576,7 +576,7 @@ message ResizeParameter {
     CUBIC = 4;
     LANCZOS4 = 5;
   }
-  //interpolation for for resizing
+  //interpolation for resizing
   repeated Interp_mode interp_mode = 7;
 }
 

diff --git a/third_party/proto/onnx.proto b/third_party/proto/onnx.proto
@@ -61,7 +61,7 @@ enum Version {
   // The version field is always serialized and we will use it to store the
   // version that the  graph is generated from. This helps us set up version
   // control. 
-  // For the IR, we are using simple numbers starting with with 0x00000001, 
+  // For the IR, we are using simple numbers starting with 0x00000001, 
   // which was the version we published on Oct 10, 2017.
   IR_VERSION_2017_10_10 = 0x0000000000000001;
 

diff --git a/training/src/tests/tests/layers/Test_Layer_LSTMCell.cpp b/training/src/tests/tests/layers/Test_Layer_LSTMCell.cpp
@@ -927,7 +927,7 @@ TEST(TestLSTMCell, SingleParamsLoadedNoBiasForgetForwardUnit)
     /// 3. If we need two tensors ih and hh, we have to split the weights tensor into 2 parts the weights tensor (axis=0).
     ///    They must be dumped in transposed mode.
     ///    weights_ih, weights_hh = np.split(weights, [input_size], axis=0)
-    /// 4. If we need one tensor,  we have to dump concatenate weights in in transposed mode.
+    /// 4. If we need one tensor,  we have to dump concatenate weights in transposed mode.
 
     // Test parameters
     const auto eps_rel = 1e-5_dt;
@@ -1007,7 +1007,7 @@ TEST(TestLSTMCell, SingleParamsLoadedWithBiasForgetForwardUnit)
     /// 3. If we need two tensors ih and hh, we have to split the weights tensor into 2 parts the weights tensor (axis=0).
     ///    They must be dumped in transposed mode.
     ///    weights_ih, weights_hh = np.split(weights, [input_size], axis=0)
-    /// 4. If we need one tensor,  we have to dump concatenate weights in in transposed mode.
+    /// 4. If we need one tensor,  we have to dump concatenate weights in transposed mode.
 
     // Test parameters
     const auto eps_rel = 1e-5_dt;