diff options
| -rw-r--r-- | tosa.xml | 55 |
1 files changed, 30 insertions, 25 deletions
@@ -130,7 +130,8 @@ <rank min="4" max="4"/> </argument> <argument category="input" name="bias" type="tensor_t" shape="[BC]" tensor-element-type="out_t"> - <description>Per output channel bias data.</description> + <description>Per output channel bias data. + + Bias data will be broadcast if BC == 1.</description> <rank min="1" max="1"/> </argument> <argument category="attribute" name="pad" type="tensor_t" shape="[4]" tensor-element-type="i32_t"> @@ -212,7 +213,8 @@ <rank min="5" max="5"/> </argument> <argument category="input" name="bias" type="tensor_t" shape="[BC]" tensor-element-type="out_t"> - <description>Per output channel bias data.</description> + <description>Per output channel bias data. + + Bias data will be broadcast if BC == 1.</description> <rank min="1" max="1"/> </argument> <argument category="attribute" name="pad" type="tensor_t" shape="[6]" tensor-element-type="i32_t"> @@ -296,7 +298,8 @@ <rank min="4" max="4"/> </argument> <argument category="input" name="bias" type="tensor_t" shape="[BC]" tensor-element-type="out_t"> - <description>Per output channel bias data.</description> + <description>Per output channel bias data. + + Bias data will be broadcast if BC == 1.</description> <rank min="1" max="1"/> </argument> <argument category="attribute" name="pad" type="tensor_t" shape="[4]" tensor-element-type="i32_t"> @@ -417,7 +420,8 @@ <rank min="2" max="2"/> </argument> <argument category="input" name="bias" type="tensor_t" shape="[BC]" tensor-element-type="out_t"> - <description>Per output channel bias data.</description> + <description>Per output channel bias data. + + Bias data will be broadcast if BC == 1.</description> <rank min="1" max="1"/> </argument> <argument category="attribute" name="input_zp" type="tensor_t" shape="-" tensor-element-type="in_t"> @@ -603,7 +607,8 @@ <rank min="4" max="4"/> </argument> <argument category="input" name="bias" type="tensor_t" shape="[BC]" tensor-element-type="out_t"> - <description>Per output channel bias data.</description> + <description>Per output channel bias data. + + Bias data will be broadcast if BC == 1.</description> <rank min="1" max="1"/> </argument> <argument category="attribute" name="out_pad" type="tensor_t" shape="[4]" tensor-element-type="i32_t"> @@ -808,7 +813,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -847,7 +852,7 @@ <rank min="0" max="0"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -871,7 +876,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -895,7 +900,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -919,7 +924,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -943,7 +948,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -966,7 +971,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -988,7 +993,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -1012,7 +1017,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -1036,7 +1041,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -1058,7 +1063,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -1080,7 +1085,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -1114,7 +1119,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -1152,7 +1157,7 @@ <rank min="0" max="0"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -1190,7 +1195,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -1223,7 +1228,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -1593,7 +1598,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="in_out_t"> - <description>Output tensor of same type as input2 and input3, with broadcast shape if necessary</description> + <description>Output tensor of same type as input2 and input3</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -1632,7 +1637,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -1667,7 +1672,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> @@ -1702,7 +1707,7 @@ <rank min="0" max="MAX_RANK"/> </argument> <argument category="output" name="output" type="tensor_t" shape="shape" tensor-element-type="out_t"> - <description>Output tensor with broadcast shape if necessary</description> + <description>Output tensor</description> <levellimit value="rank(shape)" limit="MAX_RANK"/> <rank min="0" max="MAX_RANK"/> </argument> |