/external/tensorflow/tensorflow/core/kernels/ |
D | conv_grad_input_ops.cc | 351 dims.spatial_dims[0].input_size, dims.spatial_dims[0].filter_size, in Compute() 352 dims.spatial_dims[0].stride, padding_, in Compute() 353 &dims.spatial_dims[0].output_size, &pad_top, &pad_bottom)); in Compute() 357 dims.spatial_dims[1].input_size, dims.spatial_dims[1].filter_size, in Compute() 358 dims.spatial_dims[1].stride, padding_, in Compute() 359 &dims.spatial_dims[1].output_size, &pad_left, &pad_right)); in Compute() 365 out_backprop.tensor<T, 4>(), dims.spatial_dims[0].input_size, in Compute() 366 dims.spatial_dims[1].input_size, in Compute() 367 static_cast<int>(dims.spatial_dims[0].stride), in Compute() 368 static_cast<int>(dims.spatial_dims[1].stride), in Compute() [all …]
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D | conv_grad_filter_ops.cc | 270 dims.spatial_dims[0].input_size, dims.spatial_dims[0].filter_size, in Compute() 271 dims.spatial_dims[0].stride, padding_, in Compute() 272 &dims.spatial_dims[0].output_size, &pad_top, &pad_bottom)); in Compute() 276 dims.spatial_dims[1].input_size, dims.spatial_dims[1].filter_size, in Compute() 277 dims.spatial_dims[1].stride, padding_, in Compute() 278 &dims.spatial_dims[1].output_size, &pad_left, &pad_right)); in Compute() 285 dims.spatial_dims[0].input_size, dims.spatial_dims[1].input_size, in Compute() 286 static_cast<int>(dims.spatial_dims[0].stride), in Compute() 287 static_cast<int>(dims.spatial_dims[1].stride), in Compute() 296 const int filter_total_size = dims.spatial_dims[0].filter_size * in Compute() [all …]
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D | conv_grad_ops_3d.cc | 247 static_cast<int>(dims.spatial_dims[0].stride), // stride_planes in Compute() 248 static_cast<int>(dims.spatial_dims[1].stride), // stride_rows in Compute() 249 static_cast<int>(dims.spatial_dims[2].stride)); // stride_cols in Compute() 353 dims.spatial_dims[0].input_size, in Compute() 354 dims.spatial_dims[0].filter_size, in Compute() 355 dims.spatial_dims[0].stride, padding_, in Compute() 356 &dims.spatial_dims[0].output_size, in Compute() 359 dims.spatial_dims[1].input_size, in Compute() 360 dims.spatial_dims[1].filter_size, in Compute() 361 dims.spatial_dims[1].stride, padding_, in Compute() [all …]
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D | conv_grad_ops.h | 236 gtl::InlinedVector<ConvBackpropSpatialDimension, 3> spatial_dims; 245 int64 input_size(int dim) const { return spatial_dims[dim].input_size; } 246 int64 filter_size(int dim) const { return spatial_dims[dim].filter_size; } 247 int64 output_size(int dim) const { return spatial_dims[dim].output_size; } 248 int64 stride(int dim) const { return spatial_dims[dim].stride; } 249 int64 dilation(int dim) const { return spatial_dims[dim].dilation; }
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D | conv_grad_ops.cc | 143 dims->spatial_dims.resize(num_spatial_dims); in ConvBackpropComputeDimensionsV2() 154 &dims->spatial_dims[i])); in ConvBackpropComputeDimensionsV2()
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/external/tensorflow/tensorflow/python/ops/ |
D | nn_ops.py | 328 spatial_dims=None, argument 476 spatial_dims=spatial_dims, 505 spatial_dims=None, argument 525 if spatial_dims is None: 526 spatial_dims = range(starting_spatial_dim, 528 orig_spatial_dims = list(spatial_dims) 529 spatial_dims = sorted(set(int(x) for x in orig_spatial_dims)) 530 if spatial_dims != orig_spatial_dims or any(x < 1 for x in spatial_dims): 536 expected_input_rank = spatial_dims[-1] 538 expected_input_rank = spatial_dims[-1] + 1 [all …]
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
D | conv_op_helpers.cc | 374 padding[i] = {dims.spatial_dims[i].pad_before, in MakeXlaBackpropInputConvOp() 375 dims.spatial_dims[i].pad_after}; in MakeXlaBackpropInputConvOp() 376 lhs_dilation[i] = dims.spatial_dims[i].stride; in MakeXlaBackpropInputConvOp() 477 rhs_dilation[i] = dims.spatial_dims[i].stride; in MakeXlaBackpropFilterConvOp() 486 dims.spatial_dims[i].expanded_output_size + in MakeXlaBackpropFilterConvOp() 487 (dims.spatial_dims[i].filter_size - 1) * attrs.dilations[dim]; in MakeXlaBackpropFilterConvOp() 503 const int64 pad_total = padded_in_size - dims.spatial_dims[i].input_size; in MakeXlaBackpropFilterConvOp()
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/external/tensorflow/tensorflow/core/util/ |
D | tensor_format.h | 589 std::vector<int64> spatial_dims(num_src_spatial_dims); in ShapeFromFormat() 591 spatial_dims[spatial_dim] = in ShapeFromFormat() 596 spatial_dims[num_src_spatial_dims - 1] *= 4; in ShapeFromFormat() 598 return ShapeFromFormat(dst_format, batch, {spatial_dims}, channels); in ShapeFromFormat()
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/external/tensorflow/tensorflow/core/framework/ |
D | common_shape_fns.cc | 354 gtl::MutableArraySlice<DimensionHandle> spatial_dims, in DimensionsFromShape() argument 357 const int32 rank = GetTensorDimsFromSpatialDims(spatial_dims.size(), format); in DimensionsFromShape() 361 for (int spatial_dim_index = 0; spatial_dim_index < spatial_dims.size(); in DimensionsFromShape() 363 spatial_dims[spatial_dim_index] = context->Dim( in DimensionsFromShape() 378 gtl::ArraySlice<DimensionHandle> spatial_dims, in ShapeFromDimensions() argument 381 const int32 rank = GetTensorDimsFromSpatialDims(spatial_dims.size(), format); in ShapeFromDimensions() 387 for (int spatial_dim_index = 0; spatial_dim_index < spatial_dims.size(); in ShapeFromDimensions() 390 rank, format, spatial_dim_index)] = spatial_dims[spatial_dim_index]; in ShapeFromDimensions()
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.nn.pbtxt | 329 …'input\', \'dilation_rate\', \'padding\', \'op\', \'filter_shape\', \'spatial_dims\', \'data_forma…
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/external/tensorflow/tensorflow/compiler/tests/ |
D | randomized_tests.cc | 341 const std::vector<int64>& spatial_dims); 676 const std::vector<int64>& spatial_dims) { in ImageDims() argument 681 for (int dim : spatial_dims) { in ImageDims() 689 for (int dim : spatial_dims) { in ImageDims()
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.nn.pbtxt | 421 …'input\', \'dilation_rate\', \'padding\', \'op\', \'filter_shape\', \'spatial_dims\', \'data_forma…
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/external/tensorflow/tensorflow/stream_executor/cuda/ |
D | cuda_dnn.cc | 572 absl::Span<const int64> spatial_dims = in CudnnFilterDescriptor() local 574 std::copy(spatial_dims.begin(), spatial_dims.end(), dims.begin() + 2); in CudnnFilterDescriptor()
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/external/tensorflow/tensorflow/stream_executor/rocm/ |
D | rocm_dnn.cc | 614 const auto& spatial_dims = filter_descriptor.input_filter_dims(); in ScopedFilterDescriptor() local 615 std::copy(spatial_dims.begin(), spatial_dims.end(), dims.begin() + 2); in ScopedFilterDescriptor()
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/external/tensorflow/tensorflow/compiler/xla/g3doc/ |
D | operation_semantics.md | 633 * `spatial_dims`: Describes the `n` spatial dimensions that define the base 642 * `spatial_dims`: Describes the `n` spatial dimensions that define the n-d 709 * `spatial_dims`: One value for each valid placement of the convolutional
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