/external/tensorflow/tensorflow/core/kernels/ |
D | mkl_conv_ops.h | 53 std::vector<int32> strides_; variable 63 strides_(strides), in context_() 75 if (strides_.size() == 4) { in GetStridesInMklOrder() 76 int stride_rows = GetTensorDim(strides_, data_format_, 'H'); in GetStridesInMklOrder() 77 int stride_cols = GetTensorDim(strides_, data_format_, 'W'); in GetStridesInMklOrder() 79 } else if (strides_.size() == 5) { in GetStridesInMklOrder() 80 int stride_planes = GetTensorDim(strides_, data_format_, '0'); in GetStridesInMklOrder() 81 int stride_rows = GetTensorDim(strides_, data_format_, '1'); in GetStridesInMklOrder() 82 int stride_cols = GetTensorDim(strides_, data_format_, '2'); in GetStridesInMklOrder() 128 if (strides_.size() == 4) { // NCHW format for Conv2D in GetInputSizeInMklOrder() [all …]
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D | extract_volume_patches_op.cc | 62 ParseAttributeVec5(context, "strides", &strides_); in ExtractVolumePatchesOp() 85 const int stride_planes = strides_[1]; in Compute() 86 const int stride_rows = strides_[2]; in Compute() 87 const int stride_cols = strides_[3]; in Compute() 143 std::vector<int32> strides_; member in tensorflow::ExtractVolumePatchesOp
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D | extract_image_patches_op.cc | 56 ParseAttributeVec4(context, "strides", &strides_); in ExtractImagePatchesOp() 77 const int stride_rows = strides_[1]; in Compute() 78 const int stride_cols = strides_[2]; in Compute() 115 std::vector<int32> strides_; member in tensorflow::ExtractImagePatchesOp
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D | dilation_ops.cc | 118 ParseAttributes(context, &strides_, &rates_, &padding_); in DilationOp() 130 ParseSizes(context, strides_, rates_, padding_, &stride_rows, &stride_cols, in Compute() 155 std::vector<int32> strides_; member in tensorflow::DilationOp 216 ParseAttributes(context, &strides_, &rates_, &padding_); in DilationBackpropInputOp() 229 ParseSizes(context, strides_, rates_, padding_, &stride_rows, &stride_cols, in Compute() 262 std::vector<int32> strides_; member in tensorflow::DilationBackpropInputOp 336 ParseAttributes(context, &strides_, &rates_, &padding_); in DilationBackpropFilterOp() 349 ParseSizes(context, strides_, rates_, padding_, &stride_rows, &stride_cols, in Compute() 382 std::vector<int32> strides_; member in tensorflow::DilationBackpropFilterOp
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D | conv_grad_filter_ops.cc | 199 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in Conv2DCustomBackpropFilterOp() 200 OP_REQUIRES(context, strides_.size() == 4, in Conv2DCustomBackpropFilterOp() 204 context, (strides_[0] == 1 && strides_[3] == 1), in Conv2DCustomBackpropFilterOp() 207 OP_REQUIRES(context, strides_[1] > 0 && strides_[2] > 0, in Conv2DCustomBackpropFilterOp() 254 strides_, padding_, data_format_, &dims)); in Compute() 403 std::vector<int32> strides_; member in tensorflow::Conv2DCustomBackpropFilterOp 452 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in Conv2DSlowBackpropFilterOp() 453 int stride_n = GetTensorDim(strides_, data_format_, 'N'); in Conv2DSlowBackpropFilterOp() 454 int stride_c = GetTensorDim(strides_, data_format_, 'C'); in Conv2DSlowBackpropFilterOp() 455 int stride_h = GetTensorDim(strides_, data_format_, 'H'); in Conv2DSlowBackpropFilterOp() [all …]
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D | conv_grad_input_ops.cc | 277 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in Conv2DCustomBackpropInputOp() 278 OP_REQUIRES(context, strides_.size() == 4, in Conv2DCustomBackpropInputOp() 282 context, (strides_[0] == 1 && strides_[3] == 1), in Conv2DCustomBackpropInputOp() 285 OP_REQUIRES(context, strides_[1] > 0 && strides_[2] > 0, in Conv2DCustomBackpropInputOp() 331 strides_, padding_, data_format_, &dims)); in Compute() 537 std::vector<int32> strides_; member in tensorflow::Conv2DCustomBackpropInputOp 586 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in Conv2DSlowBackpropInputOp() 587 OP_REQUIRES(context, strides_.size() == 4, in Conv2DSlowBackpropInputOp() 590 int stride_n = GetTensorDim(strides_, data_format_, 'N'); in Conv2DSlowBackpropInputOp() 591 int stride_c = GetTensorDim(strides_, data_format_, 'C'); in Conv2DSlowBackpropInputOp() [all …]
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D | conv_ops_using_gemm.cc | 433 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in Conv2DUsingGemmOp() 441 OP_REQUIRES(context, strides_.size() == 4, in Conv2DUsingGemmOp() 444 const int64 stride_n = GetTensorDim(strides_, data_format_, 'N'); in Conv2DUsingGemmOp() 445 const int64 stride_c = GetTensorDim(strides_, data_format_, 'C'); in Conv2DUsingGemmOp() 517 const int stride_rows = GetTensorDim(strides_, data_format_, 'H'); in Compute() 518 const int stride_cols = GetTensorDim(strides_, data_format_, 'W'); in Compute() 556 std::vector<int32> strides_; member in tensorflow::Conv2DUsingGemmOp
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D | quantized_conv_ops.cc | 454 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in QuantizedConv2DOp() 455 OP_REQUIRES(context, strides_.size() == 4, in QuantizedConv2DOp() 458 OP_REQUIRES(context, strides_[1] == strides_[2], in QuantizedConv2DOp() 463 context, (strides_[0] == 1 && strides_[3] == 1), in QuantizedConv2DOp() 538 const int stride = strides_[1]; in Compute() 583 std::vector<int32> strides_; member in tensorflow::QuantizedConv2DOp
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D | depthwise_conv_op.cc | 268 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in DepthwiseConv2dNativeOp() 274 OP_REQUIRES(context, strides_.size() == 4, in DepthwiseConv2dNativeOp() 277 stride_ = GetTensorDim(strides_, data_format_, 'H'); in DepthwiseConv2dNativeOp() 278 const int64 stride_w = GetTensorDim(strides_, data_format_, 'W'); in DepthwiseConv2dNativeOp() 279 const int64 stride_n = GetTensorDim(strides_, data_format_, 'N'); in DepthwiseConv2dNativeOp() 280 const int64 stride_c = GetTensorDim(strides_, data_format_, 'C'); in DepthwiseConv2dNativeOp() 438 std::vector<int32> strides_; member in tensorflow::DepthwiseConv2dNativeOp
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D | depthwise_conv_grad_op.cc | 541 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in DepthwiseConv2dNativeBackpropInputOp() 542 OP_REQUIRES(context, strides_.size() == 4, in DepthwiseConv2dNativeBackpropInputOp() 551 stride_ = GetTensorDim(strides_, data_format_, 'H'); in DepthwiseConv2dNativeBackpropInputOp() 552 const int64 stride_w = GetTensorDim(strides_, data_format_, 'W'); in DepthwiseConv2dNativeBackpropInputOp() 553 const int64 stride_n = GetTensorDim(strides_, data_format_, 'N'); in DepthwiseConv2dNativeBackpropInputOp() 554 const int64 stride_c = GetTensorDim(strides_, data_format_, 'C'); in DepthwiseConv2dNativeBackpropInputOp() 653 std::vector<int32> strides_; member in tensorflow::DepthwiseConv2dNativeBackpropInputOp 1015 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in DepthwiseConv2dNativeBackpropFilterOp() 1016 OP_REQUIRES(context, strides_.size() == 4, in DepthwiseConv2dNativeBackpropFilterOp() 1025 stride_ = GetTensorDim(strides_, data_format_, 'H'); in DepthwiseConv2dNativeBackpropFilterOp() [all …]
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D | conv_ops_fused_image_transform.cc | 632 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in FusedResizeConv2DUsingGemmOp() 633 OP_REQUIRES(context, strides_.size() == 4, in FusedResizeConv2DUsingGemmOp() 636 const int64 stride_n = GetTensorDim(strides_, FORMAT_NHWC, 'N'); in FusedResizeConv2DUsingGemmOp() 637 const int64 stride_c = GetTensorDim(strides_, FORMAT_NHWC, 'C'); in FusedResizeConv2DUsingGemmOp() 822 const int stride_rows = GetTensorDim(strides_, FORMAT_NHWC, 'H'); in Compute() 823 const int stride_cols = GetTensorDim(strides_, FORMAT_NHWC, 'W'); in Compute() 866 std::vector<int32> strides_; member in tensorflow::FusedResizeConv2DUsingGemmOp
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D | mkl_conv_ops.cc | 422 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in MklConvOp() 427 OP_REQUIRES(context, strides_.size() == 4, in MklConvOp() 431 const int64 stride_n = GetTensorDim(strides_, data_format_, 'N'); in MklConvOp() 432 const int64 stride_c = GetTensorDim(strides_, data_format_, 'C'); in MklConvOp() 522 const int stride_rows = GetTensorDim(strides_, data_format_, 'H'); in Compute() 523 const int stride_cols = GetTensorDim(strides_, data_format_, 'W'); in Compute() 834 std::vector<int32> strides_; member in tensorflow::MklConvOp 866 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in MklConvOp() 871 OP_REQUIRES(context, (strides_.size() == 4 || strides_.size() == 5), in MklConvOp() 875 const int64 stride_n = GetTensorDim(strides_, data_format_, 'N'); in MklConvOp() [all …]
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D | mkl_conv_grad_filter_ops.cc | 376 bool is_conv2d = (this->strides_.size() == 4); in Compute() 430 MklDnnConvUtil conv_utl(context, this->strides_, this->padding_, in Compute() 659 : ((this->strides_.size() == 4) ? memory::format::hwio in GetOutputFormat()
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D | mkl_conv_grad_input_ops.cc | 313 bool is_conv2d = (this->strides_.size() == 4); in Compute() 366 MklDnnConvUtil conv_utl(context, this->strides_, this->padding_, in Compute()
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/external/tensorflow/tensorflow/core/kernels/neon/ |
D | neon_depthwise_conv_op.cc | 46 OP_REQUIRES_OK(context, context->GetAttr("strides", &strides_)); in NeonDepthwiseConv2dNativeOp() 47 OP_REQUIRES(context, strides_.size() == 4, in NeonDepthwiseConv2dNativeOp() 50 OP_REQUIRES(context, strides_[1] == strides_[2], in NeonDepthwiseConv2dNativeOp() 55 context, (strides_[0] == 1 && strides_[3] == 1), in NeonDepthwiseConv2dNativeOp() 88 const int32 stride = strides_[1]; in Compute() 189 std::vector<int32> strides_; member in tensorflow::NeonDepthwiseConv2dNativeOp
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
D | extract_image_patches_op.cc | 31 OP_REQUIRES_OK(ctx, ctx->GetAttr("strides", &strides_)); in ExtractImagePatchesOp() 45 OP_REQUIRES(ctx, strides_.size() == num_dims, in Compile() 62 ctx, strides_[batch_dim] == 1 && strides_[feature_dim] == 1, in Compile() 77 OP_REQUIRES(ctx, strides_[input_dim] >= 1, in Compile() 138 window_strides[i] = strides_.at(dim); in Compile() 158 std::vector<int32> strides_; member in tensorflow::__anon65d92ac10111::ExtractImagePatchesOp
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/external/tensorflow/tensorflow/contrib/eager/python/examples/revnet/ |
D | ops.py | 54 strides_ = pad_strides(strides, axis=axis) 58 x, strides_, strides_, padding="VALID", data_format=data_format)
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/external/tensorflow/tensorflow/stream_executor/ |
D | dnn.cc | 508 strides_(ndims, 1) {} in PoolingDescriptor() 517 strides_ = other.strides_; in CloneFrom() 528 port::Appendf(&strides, "%lld ", strides_[i]); in ToString() 544 port::Appendf(&strides, "_s%d:%lld", i, strides_[i]); in ToShortString()
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D | dnn.h | 689 SetDim(&strides_, DimIndex::Y, value); 693 SetDim(&strides_, DimIndex::X, value); 697 SetDim(&strides_, dim, value); 718 int64 vertical_stride() const { return GetDim(strides_, DimIndex::Y); } 719 int64 horizontal_stride() const { return GetDim(strides_, DimIndex::X); } 720 int64 stride(DimIndex dim) const { return GetDim(strides_, dim); } 723 absl::Span<const int64> strides() const { return strides_; } 734 std::vector<int64> strides_;
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/external/tensorflow/tensorflow/lite/kernels/ |
D | strided_slice_test.cc | 39 strides_ = AddInput(TensorType_INT32); in StridedSliceOpModel() 59 PopulateTensor<int32_t>(strides_, data); in SetStrides() 71 int strides_; member in tflite::__anon1c38552f0111::StridedSliceOpModel
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/external/tensorflow/tensorflow/core/util/ |
D | mkl_util.h | 160 if (strides_) delete[] strides_; in ~MklShape() 186 strides_ = new size_t[dimension]; in SetTfLayout() 190 strides_[ii] = strides[ii]; in SetTfLayout() 247 const size_t* GetStrides() const { return strides_; } in GetStrides() 356 strides_ = new size_t[dimension_]; in DeSerializeMklShape() 361 strides_[i] = reinterpret_cast<const size_t*>( in DeSerializeMklShape() 386 strides_[i]; in SerializeMklShape() 408 size_t* strides_ = nullptr; // Required by MKL for conversions variable
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/external/libaom/libaom/test/ |
D | noise_model_test.cc | 534 strides_[c] = kWidth; in SetUp() 545 kWidth, kHeight, strides_, chroma_sub_, in NoiseModelUpdate() 564 int strides_[3]; member in NoiseModelUpdateTest
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/external/tensorflow/tensorflow/lite/delegates/nnapi/ |
D | nnapi_delegate_test.cc | 1691 strides_ = AddConstInput(TensorType_INT32, strides_data, strides_shape); in StridedSliceOpModel() 1714 int strides_; member in tflite::__anon6d004b400111::StridedSliceOpModel
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