| /ohos5.0/docs/zh-cn/device-dev/reference/hdi-apis/nnrt/ |
| H A D | _conv2_d_fusion_v10.md | 16 - weight，卷积的权重，要求weight排布为[outChannel，kernelHeight，kernelWidth，inChannel/group]， inChannel必须要能整除gro…
41 | long [group](#group) | group，将输入x按inChannel分组，int类型。 |
42 | long [inChannel](#inchannel) | 输入通道数量。 |
83 group，将输入x按inChannel分组，int类型。
87 - group等于inChannel，这是depthwiseConv2d，此时group==in_channel==out_channel。
89 - group大于1且小于inChannel，这是分组卷积，此时out_channel==group。
92 ### inChannel subsection
95 long Conv2DFusion::inChannel
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| H A D | _conv2_d_fusion_v20.md | 16 - weight，卷积的权重，要求weight排布为[outChannel，kernelHeight，kernelWidth，inChannel/group]， inChannel必须要能整除gro…
41 | long [group](#group) | group，将输入x按inChannel分组，int类型。 |
42 | long [inChannel](#inchannel) | 输入通道数量。 |
83 group，将输入x按inChannel分组，int类型。
87 - group等于inChannel，这是depthwiseConv2d，此时group==in_channel==out_channel。
89 - group大于1且小于inChannel，这是分组卷积，此时out_channel==group。
92 ### inChannel subsection
95 long Conv2DFusion::inChannel
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| H A D | _conv2d_transpose_fusion_v10.md | 16 - weight，卷积的权重，要求weight排布为[outChannel，kernelHeight，kernelWidth，inChannel/group]， inChannel必须要能整除gro…
41 | long [group](#group) | group，将输入x按inChannel分组。 |
42 | long [inChannel](#inchannel) | 输入通道数。 |
84 group，将输入x按inChannel分组。
88 - group大于1且小于或等于inChannel，这是分组卷积。
91 ### inChannel subsection
94 long Conv2dTransposeFusion::inChannel
|
| H A D | _conv2d_transpose_fusion_v20.md | 16 - weight，卷积的权重，要求weight排布为[outChannel，kernelHeight，kernelWidth，inChannel/group]， inChannel必须要能整除gro…
41 | long [group](#group) | group，将输入x按inChannel分组。 |
42 | long [inChannel](#inchannel) | 输入通道数。 |
84 group，将输入x按inChannel分组。
88 - group大于1且小于或等于inChannel，这是分组卷积。
91 ### inChannel subsection
94 long Conv2dTransposeFusion::inChannel
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| /ohos5.0/drivers/interface/nnrt/v1_0/ |
| H A D | NodeAttrTypes.idl | 81 long inChannel;
94 long inChannel;
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| /ohos5.0/drivers/interface/nnrt/v2_0/ |
| H A D | NodeAttrTypes.idl | 81 long inChannel;
94 long inChannel;
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| /ohos5.0/foundation/ability/idl_tool/test/hdi_unittest/nnrt_v1_0/foo/nnrt/v1_0/ |
| H A D | NodeAttrTypes.idl | 81 long inChannel;
94 long inChannel;
|
| /ohos5.0/foundation/ability/idl_tool/test/hdi_unittest/nnrt_v2_0/foo/nnrt/v2_0/ |
| H A D | NodeAttrTypes.idl | 81 long inChannel;
94 long inChannel;
|
| /ohos5.0/docs/zh-cn/application-dev/reference/apis-neural-network-runtime-kit/ |
| H A D | _neural_network_runtime.md | 583 …inChannel/group]， inChannel必须要能整除group。<br/>- bias，卷积的偏置，是长度为[outChannel]的数组。在量化场景下，bias参数不需要量化参数，…
584 …inChannel/group]， inChannel必须要能整除group。<br/>- bias，卷积的偏置，是长度为[outChannel]的数组。在量化场景下，bias 参数不需要量化参数…
585 …inChannel。<br/>- bias，卷积的偏置，是长度为[outChannel]的数组。在量化场景下，bias参数不需要量化参数，其量化 版本要求输入 OH_NN_INT32类型数据，实际…
|
| H A D | _neural_nework_runtime.md | 583 …inChannel/group]， inChannel必须要能整除group。<br/>- bias，卷积的偏置，是长度为[outChannel]的数组。在量化场景下，bias参数不需要量化参数，…
584 …inChannel/group]， inChannel必须要能整除group。<br/>- bias，卷积的偏置，是长度为[outChannel]的数组。在量化场景下，bias 参数不需要量化参数…
585 …inChannel。<br/>- bias，卷积的偏置，是长度为[outChannel]的数组。在量化场景下，bias参数不需要量化参数，其量化 版本要求输入 OH_NN_INT32类型数据，实际…
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| /ohos5.0/foundation/ability/idl_tool/test/hdi_unittest/nnrt_v1_0/cpp_target/nnrt/v1_0/ |
| H A D | node_attr_types.cpp.txt | 380 if (!data.WriteInt64(dataBlock.inChannel)) {
381 HDF_LOGE("%{public}s: write dataBlock.inChannel failed!", __func__);
433 if (!data.ReadInt64(dataBlock.inChannel)) {
434 HDF_LOGE("%{public}s: read dataBlock.inChannel failed!", __func__);
486 if (!data.WriteInt64(dataBlock.inChannel)) {
487 HDF_LOGE("%{public}s: write dataBlock.inChannel failed!", __func__);
544 if (!data.ReadInt64(dataBlock.inChannel)) {
545 HDF_LOGE("%{public}s: read dataBlock.inChannel failed!", __func__);
|
| H A D | node_attr_types.h.txt | 108 int64_t inChannel;
120 int64_t inChannel;
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| /ohos5.0/foundation/ability/idl_tool/test/hdi_unittest/nnrt_v2_0/cpp_target/nnrt/v2_0/ |
| H A D | node_attr_types.cpp.txt | 380 if (!data.WriteInt64(dataBlock.inChannel)) {
381 HDF_LOGE("%{public}s: write dataBlock.inChannel failed!", __func__);
433 if (!data.ReadInt64(dataBlock.inChannel)) {
434 HDF_LOGE("%{public}s: read dataBlock.inChannel failed!", __func__);
486 if (!data.WriteInt64(dataBlock.inChannel)) {
487 HDF_LOGE("%{public}s: write dataBlock.inChannel failed!", __func__);
544 if (!data.ReadInt64(dataBlock.inChannel)) {
545 HDF_LOGE("%{public}s: read dataBlock.inChannel failed!", __func__);
|
| H A D | node_attr_types.h.txt | 108 int64_t inChannel;
120 int64_t inChannel;
|
| /ohos5.0/foundation/ability/idl_tool/test/hdi_unittest/nnrt_v1_0/dump_ast_target/ |
| H A D | dump.txt | 116 long inChannel;
128 long inChannel;
|
| /ohos5.0/foundation/ability/idl_tool/test/hdi_unittest/nnrt_v2_0/dump_ast_target/ |
| H A D | dump.txt | 181 long inChannel;
193 long inChannel;
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| /ohos5.0/drivers/interface/nnrt/v2_1/ |
| H A D | NodeAttrTypes.idl | 434 …* * <b>weight</b>, a convolution weight in [outChannel, kernelHeight, kernelWidth, inChannel/group…
435 * The value of <b>inChannel</b> divided by <b>group</b>must be an integer.
471 * Splits <b>x</b> into groups by <b>inChannel</b>. The <b>group</b> value is of the int type.
473 …* If <b>group</b> is <b>inChannel</b>, it is depthwiseConv2d. In this case, group==inChannel==outC…
474 …* If <b>group</b> is greater than <b>1</b> and less than <b>inChannel</b>, it is group convolution…
479 long inChannel;
497 …* * <b>weight</b>, a convolution weight in [outChannel, kernelHeight, kernelWidth, inChannel/group…
498 * The value of <b>inChannel</b> divided by <b>group</b>must be an integer.
530 * Splits <b>x</b> into groups by <b>inChannel</b>.
532 …* If group is greater than <b>1</b> and less than or equal to <b>inChannel</b>, this is a group co…
[all …]
|
| /ohos5.0/foundation/ai/neural_network_runtime/example/drivers/nnrt/v1_0/hdi_cpu_service/src/ |
| H A D | node_functions.cpp | 122 attr->in_channel = conv2dAttr.inChannel; in GetConv2dPrimitive()
|
| /ohos5.0/foundation/ai/neural_network_runtime/example/drivers/nnrt/v2_0/hdi_cpu_service/src/ |
| H A D | node_functions.cpp | 122 attr->in_channel = conv2dAttr.inChannel; in GetConv2dPrimitive()
|
| /ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v1_0/device_manager/ |
| H A D | device_manager_test.cpp | 491 int64_t inChannel {0}; variable
501 strides, dilation, padMode, padList, group, inChannel, outChannel,
1863 int64_t inChannel{0}; variable
1872 dilation, padMode, pad, inChannel, inChannel, outChannel, activationType);
|
| /ohos5.0/foundation/ai/neural_network_runtime/frameworks/native/neural_network_runtime/ |
| H A D | lite_graph_to_hdi_model_v1_0.cpp | 195 conv2DFusion.inChannel = mindspore::lite::MindIR_Conv2DFusion_GetInChannel(primitive); in ConvertConv2DFusion()
222 …conv2dTransposeFusion.inChannel = mindspore::lite::MindIR_Conv2dTransposeFusion_GetInChannel(primi… in ConvertConv2dTransposeFusion()
|
| H A D | lite_graph_to_hdi_model_v2_0.cpp | 195 conv2DFusion.inChannel = mindspore::lite::MindIR_Conv2DFusion_GetInChannel(primitive); in ConvertConv2DFusion()
222 …conv2dTransposeFusion.inChannel = mindspore::lite::MindIR_Conv2dTransposeFusion_GetInChannel(primi… in ConvertConv2dTransposeFusion()
|
| /ohos5.0/docs/en/application-dev/reference/apis-neural-network-runtime-kit/ |
| H A D | _neural_network_runtime.md | 583 …inChannel/group]. The value of **inChannel** must be exactly divided by the value of **group**.<br…
584 …inChannel/group]. The value of **inChannel** must be exactly divided by the value of **group**.<br…
585 …inChannel**.<br>- **bias**: bias of the convolution. It is an array with a length of [outChannel].…
|
| /ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v1_0/inner_model/ |
| H A D | inner_model_test.cpp | 1409 int64_t inChannel {0}; variable
1419 strides, dilation, padMode, padList, group, inChannel, outChannel,
2781 int64_t inChannel{0}; variable
2790 dilation, padMode, pad, inChannel, inChannel, outChannel, activationType);
|
| /ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v2_0/inner_model/ |
| H A D | inner_model_test.cpp | 1348 int64_t inChannel {0}; variable
1358 strides, dilation, padMode, padList, group, inChannel, outChannel,
2720 int64_t inChannel{0}; variable
2729 dilation, padMode, pad, inChannel, inChannel, outChannel, activationType);
|