/external/tensorflow/tensorflow/core/util/ |
D | use_cudnn.cc | 74 const int32 filter_cols, const int32 in_depth, in IsCudnnSupportedFilterSize()
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/external/tensorflow/tensorflow/core/kernels/ |
D | conv_ops.cc | 158 const int64 in_depth = GetTensorDim(input, data_format, 'C'); in operator ()() local 196 const int64 in_depth = GetTensorDim(input, data_format, 'C'); in operator ()() local 223 int input_cols, int in_depth, int filter_rows, in Run() 239 int input_cols, int in_depth, int filter_rows, in Run() 280 int input_cols, int in_depth, int filter_rows, in Run() 294 int input_cols, int in_depth, int filter_rows, in Run() 426 const int in_depth = static_cast<int>(in_depth_raw); in ComputeConv2DDimension() local
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D | conv_ops_benchmark_test.cc | 76 static Conv2DGraph Conv2D(int batch, int height, int width, int in_depth, in Conv2D() 108 int batch, int height, int width, int in_depth, int filter_w, int filter_h, in Conv2DWithBias() 134 int batch, int height, int width, int in_depth, int filter_w, int filter_h, in Conv2DWithBiasAndActivation() 157 int batch, int height, int width, int in_depth, int filter_w, int filter_h, in Conv2DWithBatchNorm() 194 int batch, int height, int width, int in_depth, int filter_w, int filter_h, in Conv2DWithBatchNormAndActivation() 218 int in_depth, int filter_w, int filter_h, in FusedConv2DWithBias() 258 int batch, int height, int width, int in_depth, int filter_w, int filter_h, in FusedConv2DWithBatchNorm()
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D | deep_conv2d.cc | 49 int out_tile_rows, int out_tile_cols, int in_depth, in GetDeepConvCost() 74 static int64 GetDirectConvCost(int filter_rows, int filter_cols, int in_depth, in GetDirectConvCost() 98 int filter_cols, int in_depth, int out_depth, in CanUseDeepConv2D() 205 const int64 in_depth = args.in_depth; in operator ()() local 381 const int64 in_depth = args.in_depth; in operator ()() local 531 const int64 in_depth = args.in_depth; in operator ()() local 890 const int64 in_depth = args.in_depth; in operator ()() local 943 const int64 in_depth = args.in_depth; in operator ()() local
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D | depthwise_conv_op.h | 30 int in_depth; member
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D | deep_conv2d.h | 72 int in_depth; member
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D | conv_grad_shape_utils.h | 53 int64 in_depth, out_depth; member
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D | conv_ops_3d.cc | 139 const int64 in_depth = GetTensorDim(input, data_format_, 'C'); in Compute() local 226 const int64 in_depth = GetTensorDim(input, data_format, 'C'); in launch() local
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D | eigen_spatial_convolutions_test.cc | 669 const int in_depth = 5; in TEST() local 730 const int in_depth = 5; in TEST() local 792 const int in_depth = 5; in TEST() local 844 const int in_depth = 5; in TEST() local 898 const int in_depth = 5; in TEST() local 964 const int in_depth = 5; in TEST() local 1030 const int in_depth = 8; in TEST() local 1085 const int in_depth = 8; in TEST() local 1141 const int in_depth = 8; in TEST() local 1211 const int in_depth = 8; in TEST() local
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D | conv_grad_input_ops_benchmark_test.cc | 40 int in_depth, int filter_h, int filter_w, in Conv2DBackpropInput()
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D | conv_grad_filter_ops_benchmark_test.cc | 41 int in_depth, int filter_h, int filter_w, in Conv2DBackpropFilter()
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D | fractional_avg_pool_op.cc | 256 const int64 in_depth = orig_input_tensor_shape_flat(3); in Compute() local
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D | depthwise_conv_op.cc | 343 const int64 in_depth = GetTensorDim(input, data_format_, 'C'); in Compute() local
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D | conv_ops_using_gemm.cc | 481 const int64 in_depth = GetTensorDim(input, data_format_, 'C'); in Compute() local
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D | quantized_conv_ops.cc | 513 const int64 in_depth = input.dim_size(3); in Compute() local
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D | fused_batch_norm_op.cc | 1275 const int64 in_depth = GetTensorDim(x, tensor_format_, 'C'); in ComputeWithReservedSpace() local 1436 const int64 in_depth = GetTensorDim(x, tensor_format_, 'C'); in ComputeWithReservedSpace() local
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D | nn_ops_test.cc | 107 int rows, int cols, int in_depth, int out_depth, in BM_ConvFloat() 515 int rows, int cols, int in_depth, in BM_ConvFloatDepthwise()
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D | conv_grad_filter_ops.cc | 214 auto in_depth = input.dimension(3); in operator ()() local
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D | conv_ops_fused_image_transform.cc | 779 const int64 in_depth = padded_shape.dim_size(3); in Compute() local
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
D | conv_op_helpers.cc | 215 in_depth = input_shape.dimensions(feature_dim); in MakeXlaForwardConvOp() local 308 int64 in_depth = input_shape.dimensions(feature_dim), in MakeXlaBackpropInputConvOp() local 432 int64 in_depth = input_shape.dimensions(c_dim), in MakeXlaBackpropFilterConvOp() local
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/external/tensorflow/tensorflow/core/kernels/neon/ |
D | neon_depthwise_conv_op.cc | 73 const int32 in_depth = input.dim_size(3); in Compute() local
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/external/tensorflow/tensorflow/lite/kernels/ |
D | padding.h | 83 int in_height, int in_width, int in_depth, int filter_height, in ComputePadding3DValues()
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/external/tensorflow/tensorflow/core/grappler/costs/ |
D | utils_test.cc | 72 int in_depth = 3; in TEST() local
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | conv_ops_3d_test.py | 464 self, batch, input_shape, filter_shape, in_depth, out_depth, stride, argument
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/external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
D | im2col_utils.h | 32 int in_depth, int single_buffer_length, in ExtractPatchIntoBufferColumn()
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