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Searched refs:input_tensor_shape (Results 1 – 18 of 18) sorted by relevance

/aosp_15_r20/external/tensorflow/tensorflow/compiler/tf2xla/kernels/
H A Ddata_format_ops.cc108 const TensorShape input_tensor_shape = ctx->InputShape(0); in Compile() local
109 int input_rank = input_tensor_shape.dims(); in Compile()
113 input_tensor_shape.DebugString())); in Compile()
114 const int dim0 = input_tensor_shape.dim_size(0); in Compile()
121 input_tensor_shape.num_elements() == spatial_dim_count || in Compile()
122 input_tensor_shape.num_elements() == full_dim_count, in Compile()
126 input_tensor_shape.DebugString())); in Compile()
129 input_tensor_shape.dim_size(0) == spatial_dim_count || in Compile()
130 input_tensor_shape.dim_size(0) == full_dim_count, in Compile()
135 input_tensor_shape.DebugString())); in Compile()
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H A Dconv_ops.cc106 TensorShape input_tensor_shape; in Compile() local
108 ctx, ctx->ConstantInputAsShape(0, &input_tensor_shape, in Compile()
111 TensorShapeToXLAShape(ctx->input_xla_type(1), input_tensor_shape); in Compile()
H A Dbatchtospace_op.cc25 DataType input_dtype, const TensorShape& input_tensor_shape, in BatchToSpace() argument
28 const int input_rank = input_tensor_shape.dims(); in BatchToSpace()
30 input_tensor_shape.dim_sizes(); in BatchToSpace()
H A Dspacetobatch_op.cc26 DataType input_dtype, const TensorShape& input_tensor_shape, in SpaceToBatch() argument
29 const int input_rank = input_tensor_shape.dims(); in SpaceToBatch()
31 input_tensor_shape.dim_sizes(); in SpaceToBatch()
H A Dconv_op_helpers.cc142 TensorShape input_tensor_shape, filter_tensor_shape, in ConvBackpropComputeDimensionsV2XlaShapes() local
144 TF_RETURN_IF_ERROR(XLAShapeToTensorShape(input_shape, &input_tensor_shape)); in ConvBackpropComputeDimensionsV2XlaShapes()
149 label, num_spatial_dims, input_tensor_shape, filter_tensor_shape, in ConvBackpropComputeDimensionsV2XlaShapes()
407 TensorShape input_tensor_shape, filter_tensor_shape, output_tensor_shape; in MakeXlaBackpropFilterConvOp() local
409 TF_RETURN_IF_ERROR(XLAShapeToTensorShape(input_shape, &input_tensor_shape)); in MakeXlaBackpropFilterConvOp()
/aosp_15_r20/external/tensorflow/tensorflow/dtensor/mlir/
H A Dcollectives.cc455 llvm::ArrayRef<int64_t> input_tensor_shape = input_tensor_type.getShape(); in EmitHaloExchange() local
460 if (input_tensor_shape[split_dim_index] < halo_size) in EmitHaloExchange()
472 for (const auto& size_and_index : llvm::enumerate(input_tensor_shape)) { in EmitHaloExchange()
517 begin_left[split_dim_index] = input_tensor_shape[split_dim_index] - halo_size; in EmitHaloExchange()
521 llvm::SmallVector<int64_t, 4> size(input_tensor_shape.begin(), in EmitHaloExchange()
522 input_tensor_shape.end()); in EmitHaloExchange()
576 llvm::SmallVector<int64_t, 4> final_shape(input_tensor_shape.begin(), in EmitHaloExchange()
577 input_tensor_shape.end()); in EmitHaloExchange()
/aosp_15_r20/external/tensorflow/tensorflow/core/kernels/mkl/
H A Dmkl_pooling_ops_common.h516 const TensorShape& input_tensor_shape) { in InitMklPoolParameters() argument
519 this->data_format_tf_, input_tensor_shape); in InitMklPoolParameters()
628 TensorShape input_tensor_shape = input_tensor.shape(); in ConfigureInput() local
635 ? TFShapeToMklDnnDimsInNCHW(input_tensor_shape, in ConfigureInput()
637 : TFShapeToMklDnnDimsInNCDHW(input_tensor_shape, in ConfigureInput()
654 input_tensor_shape); in ConfigureInput()
H A Dmkl_maxpooling_op.cc67 TensorShape input_tensor_shape = input_tensor.shape(); in Compute() local
69 input_tensor_shape); in Compute()
106 input_tensor_shape, this->data_format_tf_), in Compute()
110 input_tensor_shape, this->data_format_tf_), in Compute()
H A Dmkl_avgpooling_op.cc65 TensorShape input_tensor_shape = input_tensor.shape(); in Compute() local
67 input_tensor_shape); in Compute()
/aosp_15_r20/external/tensorflow/tensorflow/compiler/mlir/tensorflow/transforms/
H A Dshape_inference.cc1619 auto input_tensor_shape = in PrecheckForXlaConvV2Op() local
1624 if (input_tensor_shape.size() <= 2) { in PrecheckForXlaConvV2Op()
1626 << "input tensor argument is " << input_tensor_shape.size() in PrecheckForXlaConvV2Op()
1638 if (input_tensor_shape.size() != kernel_tensor_shape.size()) { in PrecheckForXlaConvV2Op()
1664 auto input_features = input_tensor_shape[dnums.input_feature_dimension()]; in PrecheckForXlaConvV2Op()
1665 auto input_batch = input_tensor_shape[dnums.input_batch_dimension()]; in PrecheckForXlaConvV2Op()
1749 auto input_tensor_shape = input_tensor.getType().cast<RankedTensorType>(); in InferShapeForXlaConvV2Op() local
1750 for (auto i = 0; i < input_tensor_shape.getShape().size(); ++i) { in InferShapeForXlaConvV2Op()
1752 << input_tensor_shape.getShape()[i]); in InferShapeForXlaConvV2Op()
1753 input_tensor_dims_vec.push_back(input_tensor_shape.getShape()[i]); in InferShapeForXlaConvV2Op()
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/aosp_15_r20/external/tensorflow/tensorflow/core/ir/importexport/
H A Dconvert_tensor.cc207 TensorShape input_tensor_shape(input_tensor.tensor_shape()); in ConvertTensorProto() local
211 input_tensor_shape.num_elements() > 1) { in ConvertTensorProto()
224 for (auto dim : input_tensor_shape) original_dimensions.push_back(dim.size); in ConvertTensorProto()
/aosp_15_r20/external/tensorflow/tensorflow/compiler/mlir/tensorflow/utils/
H A Dconvert_tensor.cc209 TensorShape input_tensor_shape(input_tensor.tensor_shape()); in ConvertTensorProto() local
211 input_tensor_shape.num_elements() > 1) { in ConvertTensorProto()
224 for (auto dim : input_tensor_shape) original_dimensions.push_back(dim.size); in ConvertTensorProto()
/aosp_15_r20/external/tensorflow/tensorflow/dtensor/mlir/expansions/
H A Dconv_spmd_expander.cc116 auto input_tensor_shape = input_tensor_type.getShape(); in PadInputOnUnshardedDim() local
124 llvm::SmallVector<int64_t, 4> paddings_shape(input_tensor_shape.begin(), in PadInputOnUnshardedDim()
125 input_tensor_shape.end()); in PadInputOnUnshardedDim()
/aosp_15_r20/external/tensorflow/tensorflow/compiler/xla/service/
H A Dhlo_instruction_test.cc1583 Shape input_tensor_shape = ShapeUtil::MakeShape(F32, {50, 49, 48, 47, 46}); in TEST_F() local
1591 HloInstruction::CreateParameter(0, input_tensor_shape, "input_tensor")); in TEST_F()
1619 Shape input_tensor_shape = ShapeUtil::MakeShape(F32, {50, 49, 48, 47, 46}); in TEST_F() local
1627 HloInstruction::CreateParameter(0, input_tensor_shape, "input_tensor")); in TEST_F()
1655 Shape input_tensor_shape = ShapeUtil::MakeShape(F32, {50, 49, 48, 47, 46}); in TEST_F() local
1663 HloInstruction::CreateParameter(0, input_tensor_shape, "input_tensor")); in TEST_F()
1683 input_tensor_shape, input, scatter_indices, scatter_updates, in TEST_F()
/aosp_15_r20/external/tensorflow/tensorflow/core/grappler/optimizers/
H A Dconstant_folding.cc2795 TensorShapeProto* input_tensor_shape, TensorShapeProto* output_tensor_shape, in IsReductionCandidateForSimplification() argument
2809 *input_tensor_shape = input_props.shape(); in IsReductionCandidateForSimplification()
2811 for (int i = 0; i < input_tensor_shape->dim_size(); ++i) { in IsReductionCandidateForSimplification()
2812 if (input_tensor_shape->dim(i).size() < 0) { in IsReductionCandidateForSimplification()
2822 TensorShape(*input_tensor_shape).num_elements(); in IsReductionCandidateForSimplification()
2890 TensorShapeProto input_tensor_shape, output_tensor_shape; in SimplifyReduction() local
2892 *node, properties, &input_tensor_shape, &output_tensor_shape, in SimplifyReduction()
2918 *node, input_tensor_shape, keep_dims, reduction_indices_vector); in SimplifyReduction()
H A Dconstant_folding.h229 TensorShapeProto* input_tensor_shape,
/aosp_15_r20/external/tensorflow/tensorflow/python/keras/layers/
H A Dcore.py888 input_tensor_shape = tf_utils.convert_shapes(input_shape, to_tuples=False)
889 batch_size = nest.flatten(input_tensor_shape)[0][0] if input_shape else None
/aosp_15_r20/external/tensorflow/tensorflow/compiler/xla/
H A Dxla_data.proto530 // for (k : [0, input_tensor_shape.rank))