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Results 31 - 40 of 44 for _einsum (0.17 sec)
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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) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantize_composite_functions.cc
quantize_func_count++; } else if (func_name.starts_with("dequantize_i")) { dequantize_func_count++; } } else if (auto einsum = llvm::isa<TF::EinsumOp>(op)) { if (IsInCompsiteFunction(op)) return; // Leftover Einsum ops are always non-quantized. auto op_name = op->getName().stripDialect(); func_count_map[op_name].num_float++; } });
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 54.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
MLIR pipeline in the future. }]; let constructor = "TF::CreateGpuOpFusionPass()"; } def BatchMatMulToEinsumPass : Pass<"tf-batch-matmul-to-tf-einsum", "mlir::func::FuncOp"> { let summary = "Replace TF BatchMatMul op by TF Einsum op."; let constructor = "TF::CreateBatchMatMulToEinsumPass()"; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/g3doc/_includes/tf_passes.md
TensorFlow graph export by making transformation such as replacing or removing MLIR or XLA specific attributes that are not legal in TensorFlow graph. ### `-tf-batch-matmul-to-tf-einsum` _Replace TF BatchMatMul op by TF Einsum op._ ### `-tf-broadcast-fold` _Fold explicit broadcasts into the following operations if they support implicit broadcasting on their operand._
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 02 02:26:39 UTC 2023 - 96.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_lifting.mlir
// CHECK-NEXT: return %[[BIASADD]] : tensor<?x?x?x3xf32> // ----- func.func @lower_einsum(%arg0: tensor<3x4x5xf32>, %arg1: tensor<3x5x6xf32>) -> tensor<3x4x6xf32> { %0 = "tf.Einsum"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", equation = "ijk,ikm->ijm"}: (tensor<3x4x5xf32>, tensor<3x5x6xf32>) -> tensor<3x4x6xf32> func.return %0 : tensor<3x4x6xf32> } // CHECK-LABEL: lower_einsum
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 03:24:59 UTC 2024 - 33.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
} //===----------------------------------------------------------------------===// // Einsum. //===----------------------------------------------------------------------===// // ----- // CHECK-LABEL: func @einsum func.func @einsum(%arg0: tensor<2x3xf32>, %arg1: tensor<3x4xf32>) -> tensor<2x4xf32> { // CHECK: mhlo.einsum %0 = "tf.Einsum"(%arg0, %arg1) {equation = "ab,bc->ac"} : (tensor<2x3xf32>, tensor<3x4xf32>) -> tensor<2x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
#include "tensorflow/compiler/mlir/lite/utils/utils.h" #include "tensorflow/compiler/mlir/lite/utils/validators.h" #include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h" #include "tensorflow/compiler/mlir/tensorflow/transforms/einsum.h" #include "tensorflow/compiler/mlir/tensorflow/transforms/passes.h" #include "tensorflow/compiler/mlir/tensorflow/transforms/unroll_batch_matmul.h" #include "tensorflow/compiler/mlir/tensorflow/utils/dynamic_shape_utils.h"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
is raised. @compatibility(numpy) Similar to [`numpy.einsum`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.einsum.html). Comparison with `numpy.einsum`: * This Op only supports unary and binary forms of `numpy.einsum`. * This Op does not support implicit form. (i.e. equations without `->`).
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
"Dequantize", "Diag", "DynamicInfeedEnqueueTupleOp", "DynamicInfeedDequeueTupleOp", "DynamicStitch", "DynamicPartition", "Einsum", "EmptyTensorList", "EnsureShape", "ExtractImagePatches", "Igamma", "IgammaGradA", "RandomGammaGrad", "Igammac", "FFT", "FFT2D",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0)