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Results 11 - 14 of 14 for _einsum (0.32 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/passes/convert_tf_xla_op_to_tf_op.cc
} void getDependentDialects(DialectRegistry& registry) const override { registry.insert<TF::TensorFlowDialect, arith::ArithDialect>(); } void runOnOperation() override; }; // Generate an einsum equation from the given DotDimensionNumber. std::string CreateEinsumEquation( const xla::DotDimensionNumbers& dot_dimension_numbers, const int lhs_rank, const int rhs_rank) { // Prepare necessary indices.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 13.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/passes.h
std::unique_ptr<OperationPass<func::FuncOp>> CreateUnrollBatchMatMulPassPass(); // Optional pass which will map TF BatchMatMul to TF Einsum std::unique_ptr<OperationPass<func::FuncOp>> CreateBatchMatMulToEinsumPass(); // Pass that transform Einsum to other TF Ops for the supported variants. std::unique_ptr<OperationPass<func::FuncOp>> CreateTransformEinsumPass(); // Optimizes Tensorflow graph.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 31.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
%16 = stablehlo.broadcast_in_dim %6, dims = [0, 1, 2] : (tensor<1x1x1xi32>) -> tensor<8x16x4xi32> %17 = stablehlo.subtract %15, %16 : tensor<8x16x4xi32> // q2 - z2 // Corresponds to einsum expression: b i j, b j d -> b i d %18 = stablehlo.dot_general %14, %17, batching_dims = [0] x [0], contracting_dims = [2] x [1] : (tensor<8x16x16xi32>, tensor<8x16x4xi32>) -> tensor<8x16x4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 37K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/lift_as_function_call.cc
SmallVector<Value> AppendToVector(const ArrayRef<Value> arguments, Value append) { SmallVector<Value> ret(arguments); ret.push_back(append); return ret; } // Check if the given einsum equation is supported by XlaDotV2. // Conditions: // 1. Two inputs & one output. // 2. No ... in the equation. // 3. Batch dimensions should be the same, or only the left equation should have
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 21.8K bytes - Viewed (0)