diff --git a/mindspore/lite/src/ops/deconvolution.cc b/mindspore/lite/src/ops/deconvolution.cc
index 12aa1dcab1..ba840a49fa 100644
--- a/mindspore/lite/src/ops/deconvolution.cc
+++ b/mindspore/lite/src/ops/deconvolution.cc
@@ -35,7 +35,7 @@ int DeConv2D::InferShape(std::vector<tensor::Tensor *> inputs_, std::vector<tens
   int32_t output_n = input->Batch();
   int32_t output_h = 0;
   int32_t output_w = 0;
-  int32_t output_c = weight->Batch();
+  int32_t output_c = weight->Channel();
 
   auto deconv = GetAttribute();
   int kernel_w = deconv->kernelW();
diff --git a/mindspore/lite/tools/converter/optimizer/node/weight_format_pass.cc b/mindspore/lite/tools/converter/optimizer/node/weight_format_pass.cc
index 273eb63c76..359341aa13 100644
--- a/mindspore/lite/tools/converter/optimizer/node/weight_format_pass.cc
+++ b/mindspore/lite/tools/converter/optimizer/node/weight_format_pass.cc
@@ -154,7 +154,7 @@ int WeightFormatPass::ShapeFormatTrans(GraphNode *graphNode) {
         } else if (opType == schema::PrimitiveType_DepthwiseConv2D) {
           weightTensor->format = schema::Format_CHWK;
         } else if (opType == schema::PrimitiveType_DeConv2D) {
-          weightTensor->format = schema::Format_KHWC;
+          weightTensor->format = schema::Format_CHWK;
         } else {
           MS_LOG(ERROR) << "unsupport format";
           return -1;
@@ -367,8 +367,8 @@ int WeightFormatPass::NonQuantDataFormatTrans(GraphNode *graphNode) {
   } else if (opType == schema::PrimitiveType_DeConv2D) {  // weight should be KHWC
     if (weightTensor->format == schema::Format_KCHW) {  // from caffe or onnx or ms
       status = TransFilterFormat<float>(weightTensor.get(), kKCHW2KHWC);
-    } else if (weightTensor->format == schema::Format_KHWC) {  // from tf
-      status = RET_OK;
+    } else if (weightTensor->format == schema::Format_CHWK) {  // from tf
+      status = TransFilterFormat<float>(weightTensor.get(), kCHWK2KHWC);
     } else {
       MS_LOG(ERROR) << "Unsupported weightTensor format: " << weightTensor->format;
       return -1;
@@ -390,7 +390,7 @@ int WeightFormatPass::NonQuantDataFormatTrans(GraphNode *graphNode) {
       return -1;
     }
     if (status == 0) {
-      node->primitive->value.AsDepthwiseConv2D()->format = schema::Format_NCHW;
+      node->primitive->value.AsDepthwiseConv2D()->format = schema::Format_NHWC;
       weightTensor->format = schema::Format_CKHW;
     } else {
       MS_LOG(WARNING) << "TransFilter HWKCToCKHW failed, node : " << node->name.c_str();
diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_deconv_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_deconv_parser.cc
index c8e970ea2a..50ca889d87 100644
--- a/mindspore/lite/tools/converter/parser/tflite/tflite_deconv_parser.cc
+++ b/mindspore/lite/tools/converter/parser/tflite/tflite_deconv_parser.cc
@@ -49,10 +49,10 @@ STATUS TfliteDeConvParser::Parse(const std::unique_ptr<tflite::OperatorT> &tflit
     return RET_ERROR;
   }
   auto weight_shape = weight_tensor->shape;
-  attr->channelIn = weight_shape[KHWC_C];
-  attr->channelOut = weight_shape[KHWC_K];
-  attr->kernelW = weight_shape[KHWC_W];
-  attr->kernelH = weight_shape[KHWC_H];
+  attr->channelIn = weight_shape[CHWK_K];
+  attr->channelOut = weight_shape[CHWK_C];
+  attr->kernelW = weight_shape[CHWK_W];
+  attr->kernelH = weight_shape[CHWK_H];
 
   if (op != nullptr) {
     op->primitive = std::make_unique<schema::PrimitiveT>();