/external/tensorflow/tensorflow/compiler/xla/service/ |
D | convolution_group_converter.cc | 225 const int64 kernel_output_feature_dimension = in HandleBatchGroupCount() local 226 dim_numbers.kernel_output_feature_dimension(); in HandleBatchGroupCount() 231 filter->shape().dimensions(kernel_output_feature_dimension); in HandleBatchGroupCount() 257 kernel_sizes[kernel_output_feature_dimension] /= batch_group_count; in HandleBatchGroupCount() 258 kernel_sizes.insert(kernel_sizes.begin() + kernel_output_feature_dimension, in HandleBatchGroupCount() 262 if (d > kernel_output_feature_dimension) { in HandleBatchGroupCount() 266 dim_numbers.add_kernel_spatial_dimensions(kernel_output_feature_dimension); in HandleBatchGroupCount() 268 kernel_output_feature_dimension + 1); in HandleBatchGroupCount() 269 if (kernel_input_feature_dimension > kernel_output_feature_dimension) { in HandleBatchGroupCount() 437 dim_numbers.kernel_output_feature_dimension(); in HandleConvolution() [all …]
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D | transpose_folding_test.cc | 270 .kernel_output_feature_dimension()); in TEST_F() 271 EXPECT_EQ(dnums.kernel_output_feature_dimension(), in TEST_F() 327 .kernel_output_feature_dimension()); in TEST_F() 332 dnums.kernel_output_feature_dimension(), in TEST_F()
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D | convolution_4d_expander.cc | 150 new_dim_nums.kernel_output_feature_dimension())); in ExpandInstruction()
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D | transpose_folding.cc | 196 transpose_dimensions[dnums.kernel_output_feature_dimension()]); in FoldTransposeIntoConvolution()
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D | dot_as_convolution_util.cc | 61 {-1, conv_dims.kernel_output_feature_dimension(), in ParseConvolutionDimsInfo()
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D | space_to_batch_converter.cc | 503 if (i == dim_numbers.kernel_output_feature_dimension()) { in BringSpaceNextToBatch() 2227 original_conv_dims.kernel_output_feature_dimension(); in PropagateOnBackpropFilterConv() 2317 original_conv_dims.kernel_output_feature_dimension()); in PropagateOnBackpropFilterConv()
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D | shape_inference.cc | 1691 window_dnums[1] = dnums.kernel_output_feature_dimension(); in InferConvolveShape() 1748 rhs.dimensions(dnums.kernel_output_feature_dimension()); in InferConvolveShape() 1850 } else if (i == dnums.kernel_output_feature_dimension()) { in InferConvolveShape()
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/external/tensorflow/tensorflow/compiler/xla/service/spmd/ |
D | convolution_handler.cc | 60 rhs.base_shape().dimensions(dnums.kernel_output_feature_dimension()); in PartitionConvolutionWithBatchGroupCount() 68 rhs_to_lhs_indices[dnums.kernel_output_feature_dimension()] = in PartitionConvolutionWithBatchGroupCount() 106 dnums.kernel_output_feature_dimension()) == in PartitionConvolutionWithBatchGroupCount() 151 rhs.base_shape().dimensions(dnums.kernel_output_feature_dimension()); in PartitionConvolutionWithFeatureGroupCount() 159 rhs_to_lhs_indices[dnums.kernel_output_feature_dimension()] = in PartitionConvolutionWithFeatureGroupCount() 197 dnums.kernel_output_feature_dimension()) == in PartitionConvolutionWithFeatureGroupCount() 241 rhs_to_lhs_indices[dnums.kernel_output_feature_dimension()] = in PartitionConvolutionWithSpatialDimensionHaloExchangeOnRHS() 265 dnums.kernel_output_feature_dimension()) != 1; in PartitionConvolutionWithSpatialDimensionHaloExchangeOnRHS() 288 dnums.kernel_output_feature_dimension()) > 1)) { in PartitionConvolutionWithSpatialDimensionHaloExchangeOnRHS() 296 dnums.kernel_output_feature_dimension()) > 1)) { in PartitionConvolutionWithSpatialDimensionHaloExchangeOnRHS() [all …]
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D | dot_handler.cc | 257 int64 kernel_output_feature_dimension = in GenNewConvDNums() local 258 dnums.kernel_output_feature_dimension(); in GenNewConvDNums() 266 if (rhs_concat_dim <= kernel_output_feature_dimension) { in GenNewConvDNums() 267 kernel_output_feature_dimension++; in GenNewConvDNums() 314 kernel_output_feature_dimension); in GenNewConvDNums() 2257 dnums.kernel_output_feature_dimension(); in ConvertDimsMappingWithFeatureGroupCount() 2281 dnums.kernel_output_feature_dimension(); in ConvertDimsMappingWithBatchGroupCount()
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/external/tensorflow/tensorflow/compiler/mlir/hlo/tests/ |
D | lhlo_gpu_ops.mlir | 41 kernel_output_feature_dimension = 1 : i64, 76 kernel_output_feature_dimension = 3 : i64, 106 kernel_output_feature_dimension = 0 : i64, 138 kernel_output_feature_dimension = 3 : i64, 169 kernel_output_feature_dimension = 3 : i64,
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/external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
D | cudnn_pad_for_convolutions.cc | 239 pad_dim(new_filter_shape, dnums.kernel_output_feature_dimension()); in TryResolvePaddedShapesForTensorCore() 324 dnums.kernel_output_feature_dimension()); // Kernel for the output in TryResolvePaddedShapesForIntegerConvolution() 338 dnums.kernel_output_feature_dimension()); // Kernel for the output in TryResolvePaddedShapesForIntegerConvolution()
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D | gpu_conv_rewriter.cc | 185 auto kernel_output_feature_dim = conv_dnums.kernel_output_feature_dimension(); in MatchBackwardFilter() 506 conv_dnums.kernel_output_feature_dimension()); in MatchBackwardInput() 555 int64 output_feature_dimension = dnums.kernel_output_feature_dimension(); in MatchBackwardInput()
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D | stream_executor_util.cc | 77 filter_layout.push_back(dnums.kernel_output_feature_dimension()); in StreamExecutorConvLayoutsToXlaLayouts() 84 filter_layout.push_back(dnums.kernel_output_feature_dimension()); in StreamExecutorConvLayoutsToXlaLayouts()
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D | gpu_conv_runner.cc | 393 filter_shape.dimensions(dnums.kernel_output_feature_dimension())); in GetGpuConvConfig()
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/external/tensorflow/tensorflow/compiler/mlir/xla/tests/translate/ |
D | layouts_and_names.mlir | 15 kernel_output_feature_dimension = 0 : i64,
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/external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
D | ir_emission_utils.cc | 111 dnums.kernel_output_feature_dimension() == in PotentiallyImplementedAsEigenConvolution()
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D | conv_canonicalization.cc | 44 auto kernel_output_feature_dim = dnums.kernel_output_feature_dimension(); in Run()
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/external/tensorflow/tensorflow/compiler/xla/python/ |
D | xla_client.py | 543 self.kernel_output_feature_dimension = 0 587 dimension_numbers.kernel_output_feature_dimension = 0 600 dimension_numbers.kernel_output_feature_dimension = rhs_spec.index('O')
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/external/tensorflow/tensorflow/compiler/xla/tests/ |
D | convolution_dimension_numbers_test.cc | 118 dim_nums.kernel_output_feature_dimension()); in XLA_TEST_F()
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/external/tensorflow/tensorflow/compiler/mlir/hlo/include/mlir-hlo/Dialect/mhlo/IR/ |
D | hlo_ops_base_structs.td | 46 StructFieldAttr<"kernel_output_feature_dimension", I64Attr>,
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/external/tensorflow/tensorflow/compiler/mlir/xla/ |
D | attribute_exporter.cc | 42 input.kernel_output_feature_dimension().getValue().getSExtValue()); in ConvertConvDimensionNumbers()
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D | attribute_importer.cc | 120 builder->getI64IntegerAttr(dnums.kernel_output_feature_dimension()), in ConvertConvDimensionNumbers()
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/external/tensorflow/tensorflow/compiler/mlir/xla/tests/hlo_to_lhlo_with_xla/ |
D | hlo_text_to_lhlo_no_opt.hlotxt | 288 // CHECK_SAME: kernel_output_feature_dimension = 0 : i64, 325 // CHECK-SAME: kernel_output_feature_dimension = 3 : i64 364 // CHECK-SAME: kernel_output_feature_dimension = 3 : i64
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/external/tensorflow/tensorflow/compiler/mlir/xla/experimental/conv_emitter/ |
D | conv_emitter.cc | 541 conv->operand(1)->shape(), dim_nums.kernel_output_feature_dimension(), in EmitConvolutionForwardAsMlir()
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/external/tensorflow/tensorflow/compiler/tests/ |
D | xla_ops_test.py | 142 dnums.kernel_output_feature_dimension = 0
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