/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
D | resampler_ops.cc | 72 xla::BroadcastInDim(first_term, broadcast_dims, last_two_dims_indices); in BilinearWeights() 83 xla::BroadcastInDim(ratio, broadcast_dims, ratio_broadcast_indices); in BilinearWeights() 94 xla::BroadcastInDim(sign_change, broadcast_dims, last_two_dims_indices); in BilinearWeights() 228 xla::BroadcastInDim(is_in_bound, result_dims, broadcasted_dims); in BoundSamples() 292 auto broadcast_reshaped_weights = xla::BroadcastInDim( in CalculateGradData() 298 XlaOp broadcast_grad_output = xla::BroadcastInDim( in CalculateGradData() 414 xla::BroadcastInDim( in CalculateGradWarp() 422 xla::BroadcastInDim( in CalculateGradWarp() 430 xla::BroadcastInDim( in CalculateGradWarp() 438 xla::BroadcastInDim( in CalculateGradWarp() [all …]
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D | xla_broadcast_helper_op.cc | 93 lhs = xla::BroadcastInDim(lhs, broadcast_shape, broadcast_dims); in Compile() 95 rhs = xla::BroadcastInDim(rhs, broadcast_shape, broadcast_dims); in Compile()
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D | image_resize_ops.cc | 191 xla::BroadcastInDim(make_kernel_func(builder, type, kernel_size[1]), in MakeGeneralResizeKernel() 210 return xla::BroadcastInDim(make_kernel_func(builder, type, kernel_size[dim]), in MakeGeneralResizeKernelInDim() 233 return xla::BroadcastInDim(input, broadcast_shape.dimensions(), in BroadcastSpatialDimensions() 559 xla::BroadcastInDim(h_span_start, {out_size[0], out_size[1], 1}, {0}); in GeneralCompile() 595 xla::BroadcastInDim(w_span_start, {out_size[0], out_size[1], 1}, {1}); in GeneralCompile() 617 w_sub = xla::BroadcastInDim(w_sub, {out_size[1], w_span_size}, {0}); in GeneralCompile() 636 h_sub = xla::BroadcastInDim(h_sub, {out_size[0], h_span_size}, {0}); in GeneralCompile()
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D | diag_op.cc | 72 xla::BroadcastInDim(input, out_dim_sizes, broadcast_dimensions); in CreateDiagonal()
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D | select_op.cc | 71 cond_handle = xla::BroadcastInDim(cond_handle, then_shape.dim_sizes(), in Compile()
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D | fake_quantize_ops.cc | 267 return xla::BroadcastInDim(op, input_dimensions, in Compile() 328 return xla::BroadcastInDim(op, input_dimensions, in Compile()
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D | dynamic_partition_op.cc | 139 partitions = xla::BroadcastInDim(partitions, data_shape.dimensions(), in Compile()
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D | quantize_and_dequantize_op.cc | 169 return xla::BroadcastInDim(op, input_dimensions, {axis_}); in Compile()
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D | matrix_diag_ops.cc | 223 xla::XlaOp diag_broadcast = xla::BroadcastInDim( in SetMatrixDiag()
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/external/tensorflow/tensorflow/compiler/xla/client/lib/ |
D | slicing.cc | 191 BroadcastInDim(index, sizes, index_broadcast_dims), in TorchGather() 195 mask, BroadcastInDim(input, sizes, input_broadcast_dims), in TorchGather() 249 Eq(BroadcastInDim(index, sizes, index_broadcast_dims), in TorchScatterDense() 253 Select(mask, BroadcastInDim(src, sizes, index_broadcast_dims), in TorchScatterDense()
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D | broadcast.cc | 82 XlaOp output = BroadcastInDim(input, broadcast_shape, broadcast_dims); in BroadcastTo()
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D | svd.cc | 152 BroadcastInDim(Lt(sigma, eps), x_shape.dimensions(), broadcast_dims), v, in HouseRow() 218 BroadcastInDim(Lt(sigma, eps), x_shape.dimensions(), broadcast_dims), v, in HouseCol() 578 BroadcastInDim(diag, shape.dimensions(), broadcasted_dims); in ComputeToleranceComparison() 581 BroadcastInDim(diag, shape.dimensions(), broadcasted_dims); in ComputeToleranceComparison() 757 d = BroadcastInDim(d, dimensions, broadcast_dims); in SortBySingularValuesAndPostProcessing()
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D | matrix.cc | 131 XlaOp diag_base_indices = BroadcastInDim(Iota(builder, S32, diag_len), in GetMatrixDiagonalViaGather() 207 BroadcastInDim(diag, shape.dimensions(), broadcast_dims), in SetMatrixDiagonal() 351 x = BroadcastInDim(x, broadcast_sizes, labels->at(2)); in EinsumInverseDiagonal()
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D | self_adjoint_eig_test.cc | 128 BroadcastInDim(ConvertElementType(result.w, shape.element_type()), in ComputeMatmulVWVt()
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/external/tensorflow/tensorflow/compiler/xla/service/ |
D | eigh_expander.cc | 152 auto c = BroadcastInDim(rotation.c, shape.dimensions(), broadcast_dims); in ApplyJacobiRotationOverRows() 153 auto s = BroadcastInDim(rotation.s, shape.dimensions(), broadcast_dims); in ApplyJacobiRotationOverRows() 173 auto c = BroadcastInDim(rotation.c, shape.dimensions(), broadcast_dims); in ApplyJacobiRotationOverCols() 174 auto s = BroadcastInDim(rotation.s, shape.dimensions(), broadcast_dims); in ApplyJacobiRotationOverCols() 364 w = BroadcastInDim(w, dimensions, broadcast_dims); in SortByEigenvalues()
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D | qr_expander.cc | 269 new_x = BroadcastInDim(new_x, ConcatVectors(batch_dims, {m, n}), in QrBlock() 344 auto tau_scale = BroadcastInDim(-taus, ConcatVectors(batch_dims, {1, n}), in CompactWYRepresentation()
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D | cholesky_expander.cc | 211 BroadcastInDim(seen_error, a_shape.dimensions(), error_dim_indices), in BuildCholesky()
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/external/tensorflow/tensorflow/compiler/xla/tests/ |
D | broadcast_simple_test.cc | 162 BroadcastInDim(ConstantR1<float>(&b, {1, 2}), {2, 2}, {1}); 175 BroadcastInDim(ConstantR1<float>(&b, {1, 2}), {2, 2}, {0}); 188 BroadcastInDim(ConstantR2<float>(&b, {{1.0, 5.0}, {2.0, 6.0}}), {2, 2, 2}, 206 BroadcastInDim(ConstantR2<float>(&b, {{1.0, 5.0}, {2.0, 6.0}}), {2, 2, 2}, 224 BroadcastInDim(ConstantR1<float>(&b, {1, 2}), {3, 2}, {1});
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/external/tensorflow/tensorflow/compiler/xla/client/ |
D | xla_builder_test.cc | 316 TEST_F(XlaBuilderTest, BroadcastInDim) { in TEST_F() argument 319 BroadcastInDim(x, {2, 4, 3}, in TEST_F() 329 BroadcastInDim(x, {2, 3, 4}, in TEST_F() 339 BroadcastInDim(x, {-3, 3, 4}, in TEST_F() 752 BroadcastInDim(gte, /*out_dim_size=*/{3, 5, 4}, in TEST_F()
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D | xla_builder.h | 458 XlaOp BroadcastInDim(XlaOp operand, 1105 friend XlaOp BroadcastInDim( 1749 XlaOp BroadcastInDim(XlaOp operand,
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D | xla_builder.cc | 956 XlaOp XlaBuilder::BroadcastInDim( in BroadcastInDim() function in xla::XlaBuilder 4058 XlaOp BroadcastInDim(const XlaOp operand, in BroadcastInDim() function 4061 return operand.builder()->BroadcastInDim(operand, out_dim_size, in BroadcastInDim()
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/external/tensorflow/tensorflow/compiler/xla/python/xla_extension/ |
D | ops.pyi | 124 def BroadcastInDim(operand: XlaOp,
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/external/tensorflow/tensorflow/compiler/xla/python/ |
D | ops.cc | 116 ops.def("BroadcastInDim", &BroadcastInDim, py::arg("operand"), in BuildOpsSubmodule()
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D | xla_client_test.py | 1441 ops.BroadcastInDim(ops.Constant(c, NumpyArrayS32([1, 2])), [2, 2], [0]) 1443 ops.BroadcastInDim(ops.Constant(c, NumpyArrayS32([1, 2])), [2, 2], [1])
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/external/tensorflow/tensorflow/compiler/xla/g3doc/ |
D | operation_semantics.md | 426 ## BroadcastInDim section in Operation Semantics 429 [`XlaBuilder::BroadcastInDim`](https://www.tensorflow.org/code/tensorflow/compiler/xla/client/xla_b… 433 <b> `BroadcastInDim(operand, out_dim_size, broadcast_dimensions)` </b>
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