diff options
| author | Eric Kunze <eric.kunze@arm.com> | 2023-10-27 11:47:05 -0700 |
|---|---|---|
| committer | Eric Kunze <eric.kunze@arm.com> | 2023-10-30 14:17:22 -0700 |
| commit | 8033f12637a51a3d89cfee4c955988f5fa250f51 (patch) | |
| tree | 1e925646832ec5756799a30ffb4db9f374b6aaa8 | |
| parent | c237b7e430cddfb6036b3c6474a57f29ef2cdf64 (diff) | |
| download | specification-8033f12637a51a3d89cfee4c955988f5fa250f51.tar.gz | |
Add description of bias broadcast
Bias broadcast was introduced earlier, this adds text to the bias argument
to call out the broadcast when only a single data element is given for
broadcast.
Signed-off-by: Eric Kunze <eric.kunze@arm.com>
Change-Id: I684afbe642e9b9cfb9f7c7e9b5bb4944019f206a
| -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> |