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tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
// CHECK-DAG: [[VAL_92:%.*]] = arith.constant dense<0.000000e+00> : tensor<3xf32> // CHECK-DAG: [[VAL_93:%.*]] = arith.constant dense<0.000000e+00> : tensor<1x3xf32> // CHECK-DAG: [[VAL_94:%.*]] = arith.constant dense<0.000000e+00> : tensor<1x1xf32> // CHECK-DAG: [[VAL_95:%.*]] = arith.constant dense<0> : tensor<1xi64> // CHECK-DAG: [[VAL_96:%.*]] = arith.constant dense<1> : tensor<1xi64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
// CHECK-DAG: [[VAL_8:%.*]] = arith.constant dense<0.000000e+00> : tensor<16x16xf32> // CHECK-DAG: [[VAL_9:%.*]] = arith.constant dense<0.000000e+00> : tensor<16x8xf32> // CHECK-DAG: [[VAL_10:%.*]] = arith.constant dense<0.000000e+00> : tensor<16xf32> // CHECK-DAG: [[VAL_11:%.*]] = arith.constant dense<0.000000e+00> : tensor<1x16xf32> // CHECK-DAG: [[VAL_12:%.*]] = arith.constant dense<0.000000e+00> : tensor<8x16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
// CHECK-DAG: %[[BROADCAST_DIM:.+]] = arith.constant dense<{{\[3, 2, 1, 1, 4\]}}> : tensor<5xi32> // CHECK-DAG: %[[EXPAND_DIM1:.+]] = arith.constant dense<3> : tensor<1xi32> // CHECK-DAG: %[[EXPAND_DIM0:.+]] = arith.constant dense<2> : tensor<1xi32> // CHECK-DAG: %[[PERM:.+]] = arith.constant dense<{{\[1, 0, 2\]}}> : tensor<3xi32>
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/transforms/optimize.cc
} }; // If the operand to a broadcastable op is a splat constant, try to replace it // with a 0-d constant, e.g. before this optimization, // %cst = arith.constant dense<1.0> : tensor<16x16x4xf32> // %0 = "tfl.conv_2d"... // %1 = "tfl.add"(%0, %cst) : (tensor<16x16x4xf32>, tensor<16x16x4xf32>) // After this optimization: // %cst = arith.constant dense<1.0> : tensor<f32> // %0 = "tfl.conv_2d"...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
%size_splits_0 = arith.constant dense<[8, 8]> : tensor<2xi32> %split_dim_0 = arith.constant dense<0> : tensor<i32> %0, %1 = "tfl.split_v"(%arg0, %size_splits_0, %split_dim_0) {num_splits = 2 : i32} : (tensor<16x4xf32>, tensor<2xi32>, tensor<i32>) -> (tensor<8x4xf32>, tensor<8x4xf32>) %size_splits_1 = arith.constant dense<[2, 2]> : tensor<2xi32> %split_dim_1 = arith.constant dense<1> : tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
doc/go1.17_spec.html
string([]byte{'a'}) // not a constant: []byte{'a'} is not a constant (*int)(nil) // not a constant: nil is not a constant, *int is not a boolean, numeric, or string type int(1.2) // illegal: 1.2 cannot be represented as an int string(65.0) // illegal: 65.0 is not an integer constant </pre> <p> A non-constant value <code>x</code> can be converted to type <code>T</code>
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Apr 11 20:22:45 UTC 2024 - 211.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
// // It should be guaranteed that `rhs_op` is either: // 1. `stablehlo.constant` // 2. `stablehlo.constant`->`stablehlo.transpose`. // // TODO: b/328156969 - Support the case where the RHS doesn't come from a // constant. TFL::QConstOp CreateTflConstOpForFilter(Operation* rhs_op, PatternRewriter& rewriter,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
%add = "tf.Add"(%barg0, %barg0) : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32> %one = arith.constant dense<1> : tensor<i32> %sub = "tf.Sub"(%barg1, %one) : (tensor<i32>, tensor<i32>) -> tensor<i32> %dummy0 = arith.constant dense<7> : tensor<i32> %dummy1 = arith.constant dense<3.0> : tensor<f32> "tf.Yield"(%add, %sub, %dummy0, %dummy1) : (tensor<*xf32>, tensor<i32>, tensor<i32>, tensor<f32>) -> () }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
} // Return true if the value is a splat tensor constant zero. bool EqualsZero(Value value) { DenseElementsAttr constant; if (!matchPattern(value, m_Constant(&constant)) || !constant.isSplat()) { return false; } Type element_type = value.getType().cast<ShapedType>().getElementType(); if (element_type.isa<FloatType>()) { return constant.getSplatValue<APFloat>().isZero(); } else {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
%arg11 : tensor<!tf_type.resource<tensor<512xf32>>> ) { %cst_0 = arith.constant dense<0.1> : tensor<f32> %cst_2 = arith.constant dense<2> : tensor<i64> %cst_12 = arith.constant dense<0> : tensor<i32> %cst_13 = arith.constant dense<> : tensor<0x!tf_type.string> %51 = "tf.RepeatDataset"(%arg1, %cst_2) {device = "",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0)