| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | data_format_ops.cc | 108 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()
120 input_tensor_shape.DebugString())); in Compile()
123 ctx, input_tensor_shape.dim_size(1) == 2, in Compile()
126 input_tensor_shape.DebugString())); in Compile()
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| D | conv_ops.cc | 106 TensorShape input_tensor_shape; in Compile() local
107 OP_REQUIRES_OK(ctx, ctx->ConstantInputAsShape(0, &input_tensor_shape)); in Compile()
109 TensorShapeToXLAShape(ctx->input_xla_type(1), input_tensor_shape); in Compile()
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| D | batchtospace_op.cc | 25 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()
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| D | spacetobatch_op.cc | 25 DataType input_dtype, const TensorShape& input_tensor_shape, in SpaceToBatch() argument
28 const int input_rank = input_tensor_shape.dims(); in SpaceToBatch()
30 input_tensor_shape.dim_sizes(); in SpaceToBatch()
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| D | conv_op_helpers.cc | 142 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()
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| /external/tensorflow/tensorflow/core/kernels/mkl/ |
| D | mkl_maxpooling_op.cc | 72 TensorShape input_tensor_shape = input_tensor.shape(); in Compute() local
74 input_tensor_shape); in Compute()
111 input_tensor_shape, this->data_format_tf_), in Compute()
115 input_tensor_shape, this->data_format_tf_), in Compute()
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| D | mkl_pooling_ops_common.h | 501 const TensorShape& input_tensor_shape) { in InitMklPoolParameters() argument
504 this->data_format_tf_, input_tensor_shape); in InitMklPoolParameters()
613 TensorShape input_tensor_shape = input_tensor.shape(); in ConfigureInput() local
620 ? TFShapeToMklDnnDimsInNCHW(input_tensor_shape, in ConfigureInput()
622 : TFShapeToMklDnnDimsInNCDHW(input_tensor_shape, in ConfigureInput()
639 input_tensor_shape); in ConfigureInput()
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| D | mkl_avgpooling_op.cc | 67 TensorShape input_tensor_shape = input_tensor.shape(); in Compute() local
69 input_tensor_shape); in Compute()
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| /external/tensorflow/tensorflow/compiler/xla/service/ |
| D | hlo_instruction_test.cc | 1484 Shape input_tensor_shape = ShapeUtil::MakeShape(F32, {50, 49, 48, 47, 46}); in TEST_F() local
1492 HloInstruction::CreateParameter(0, input_tensor_shape, "input_tensor")); in TEST_F()
1520 Shape input_tensor_shape = ShapeUtil::MakeShape(F32, {50, 49, 48, 47, 46}); in TEST_F() local
1528 HloInstruction::CreateParameter(0, input_tensor_shape, "input_tensor")); in TEST_F()
1556 Shape input_tensor_shape = ShapeUtil::MakeShape(F32, {50, 49, 48, 47, 46}); in TEST_F() local
1564 HloInstruction::CreateParameter(0, input_tensor_shape, "input_tensor")); in TEST_F()
1584 input_tensor_shape, input, scatter_indices, scatter_updates, in TEST_F()
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| /external/tensorflow/tensorflow/core/grappler/optimizers/ |
| D | constant_folding.h | 232 TensorShapeProto* input_tensor_shape,
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| D | constant_folding.cc | 2745 TensorShapeProto* input_tensor_shape, TensorShapeProto* output_tensor_shape, in IsReductionCandidateForSimplification() argument
2759 *input_tensor_shape = input_props.shape(); in IsReductionCandidateForSimplification()
2761 for (int i = 0; i < input_tensor_shape->dim_size(); ++i) { in IsReductionCandidateForSimplification()
2762 if (input_tensor_shape->dim(i).size() < 0) { in IsReductionCandidateForSimplification()
2772 TensorShape(*input_tensor_shape).num_elements(); in IsReductionCandidateForSimplification()
2840 TensorShapeProto input_tensor_shape, output_tensor_shape; in SimplifyReduction() local
2842 *node, properties, &input_tensor_shape, &output_tensor_shape, in SimplifyReduction()
2868 *node, input_tensor_shape, keep_dims, reduction_indices_vector); in SimplifyReduction()
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | core.py | 893 input_tensor_shape = tf_utils.convert_shapes(input_shape, to_tuples=False)
894 batch_size = nest.flatten(input_tensor_shape)[0][0] if input_shape else None
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| /external/tensorflow/tensorflow/compiler/xla/ |
| D | xla_data.proto | 482 // for (k : [0, input_tensor_shape.rank))
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