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Results 11 - 20 of 27 for window_dimensions (0.64 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/passes/duplicate_shape_determining_constants.cc
CompileTimeConstantOperand<TF::XlaPadOp, 2, 3, 4>, // $window_dimensions, $window_strides, $base_dilations, // $window_dilations, $padding CompileTimeConstantOperand<TF::XlaReduceWindowOp, 2, 3, 4, 5, 6>, // $dim_index CompileTimeConstantOperand<TF::XlaRemoveDynamicDimensionSizeOp, 1>, // $window_dimensions, $window_strides, $padding
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 17.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/prepare_quantize/prepare_quantize.mlir
^bb0(%arg1: tensor<f32>, %arg2: tensor<f32>): %7 = stablehlo.maximum %arg1, %arg2 : tensor<f32> stablehlo.return %7 : tensor<f32> }) {padding = dense<[[0, 0], [0, 1], [0, 1], [0, 0]]> : tensor<4x2xi64>, window_dimensions = array<i64: 1, 3, 3, 1>, window_strides = array<i64: 1, 2, 2, 1>} : (tensor<?x112x112x64xf32>, tensor<f32>) -> tensor<?x56x56x64xf32> return %6 : tensor<?x56x56x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 19:52:06 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
func.func @maxpool_valid_padding(%arg0: tensor<2x12x20x7xi32>) -> tensor<2x3x5x7xi32> { // CHECK: %[[INIT:.*]] = mhlo.constant dense<-2147483648> : tensor<i32> // CHECK: "mhlo.reduce_window"(%[[ARG]], %[[INIT]]) // CHECK: <{window_dimensions = dense<[1, 2, 2, 1]> : tensor<4xi64>, window_strides = dense<[1, 4, 4, 1]> : tensor<4xi64>}> // CHECK: mhlo.maximum // CHECK: mhlo.return
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/quantization/stablehlo/passes/defer_activation_transpose.cc
auto new_reduce_window_op = rewriter.create<mlir::stablehlo::ReduceWindowOp>( op.getLoc(), new_result_type, transpose_op.getOperand(), /*init_value=*/op.getOperand(1), /*window_dimensions=*/ PermuteI64ArrayAttr(rewriter, op.getWindowDimensions(), kNchwToNhwcPermutation), /*window_strides=*/
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
"mhlo.return"(%5) : (tensor<f32>) -> () }) { base_dilations = dense<1> : tensor<4xi64>, padding = dense<0> : tensor<4x2xi64>, window_dilations = dense<1> : tensor<4xi64>, window_dimensions = dense<[1, 3, 3, 1]> : tensor<4xi64>, window_strides = dense<[1, 2, 2, 1]> : tensor<4xi64>} : (tensor<4x16x16x8xf32>, tensor<f32>) -> tensor<4x7x7x8xf32> %3 = mhlo.divide %2, %1 : tensor<4x7x7x8xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
padding = #vhlo.tensor_v1<dense<[[0, 0], [159, 0], [0, 0]]> : tensor<3x2xi64>>, window_dilations = #vhlo.tensor_v1<dense<1> : tensor<3xi64>>, window_dimensions = #vhlo.tensor_v1<dense<[1, 160, 1]> : tensor<3xi64>>, window_strides = #vhlo.tensor_v1<dense<1> : tensor<3xi64>>}> ({ ^bb0(%arg23: tensor<f32>, %arg24: tensor<f32>):
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 31.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo.cc
for (int64_t i = 0, e = window_dimensions.size(); i < e; ++i) { int64_t window_dimension = window_dimensions.getValues<int64_t>()[i]; if (window_dimension == 1) continue; // Cumulative axis already set. if (cumulative_axis != -1) return failure(); // Potential cumulative axis is not the right size. if (window_dimension != operand_type.getShape()[i]) return failure();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 154.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
PatternRewriter &rewriter) const override { DenseElementsAttr window_dimensions, window_strides, base_dilations, window_dilations, padding; if (!(matchPattern(op.getWindowDimensions(), m_Constant(&window_dimensions)) && matchPattern(op.getWindowStrides(), m_Constant(&window_strides)) &&
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
%1 = stablehlo.maximum %arg2, %arg3 : tensor<!quant.uniform<i8:f32, 3.000000e-01:-5>> stablehlo.return %1 : tensor<!quant.uniform<i8:f32, 3.000000e-01:-5>> }) {window_dimensions = array<i64: 1, 3, 4, 1>, window_strides = array<i64: 1, 2, 3, 1>} : (tensor<2x9x10x3x!quant.uniform<i8:f32, 3.000000e-01:-5>>, tensor<!quant.uniform<i8:f32, 3.000000e-01:-5>>) -> tensor<2x4x3x3x!quant.uniform<i8:f32, 3.000000e-01:-5>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
uint32_t opcode_index = GetOpcodeIndex(op_name, tflite::BuiltinOperator_STABLEHLO_REDUCE_WINDOW); auto wd = reduce_window_op.getWindowDimensions(); auto window_dimensions = builder_.CreateVector(std::vector<int64_t>(wd.begin(), wd.end())); auto window_strides = builder_.CreateVector( mlir::GetOptionalVector<int64_t>(reduce_window_op.getWindowStrides()));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0)