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tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
} // CHECK-LABEL: func.func @avg_pool2d_1( // CHECK-SAME: %[[VAL_0:.*]]: tensor<1x3x6x6xf32>) -> tensor<*xf32> { // CHECK: %[[VAL_1:.*]] = arith.constant dense<[0, 2, 3, 1]> : tensor<4xi32> // CHECK: %[[VAL_2:.*]] = "tfl.transpose"(%[[VAL_0]], %[[VAL_1]]) : (tensor<1x3x6x6xf32>, tensor<4xi32>) -> tensor<1x6x6x3xf32> // CHECK: %[[VAL_3:.*]] = arith.constant dense<0> : tensor<4x2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_to_nchw.mlir
// CHECK-LABEL: func @transposeConv2D func.func @transposeConv2D(%arg0: tensor<1x3x32x32xf32>, %arg1: tensor<1x1x3x8xf32>) -> tensor<1x8x32x32xf32> { // Convert input: NCHW -> NHWC %0 = "tf.Const"() {value = dense<[0, 2, 3, 1]> : tensor<4xi32>} : () -> tensor<4xi32> %1 = "tf.Transpose"(%arg0, %0) : (tensor<1x3x32x32xf32>, tensor<4xi32>) -> tensor<1x32x32x3xf32> // Compute in NHWC %2 = "tf.Conv2D"(%1, %arg1) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:47:26 UTC 2022 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_layout_helper.cc
} SmallVector<int64_t, 4> GetDataFormatPermutation(StringRef from, StringRef to) { if (from == "NHWC" && to == "NCHW") { return {0, 3, 1, 2}; } else if (from == "NCHW" && to == "NHWC") { return {0, 2, 3, 1}; } else { return {}; } } // Shuffle elements in the `attr` according to the permutation. Optional // `inner_size` allows to shuffle array attributes created from rank 2 tensors
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 3.3K bytes - Viewed (0) -
test/ken/robfunc.go
} func f9(a int) (in int, fl float64) { i := 9 f := float64(9) return i, f } func main() { f1() f2(1) r3 := f3(1, 2) assertequal(r3, 3, "3") r4 := f4(0, 2, 3.0) assertequal(r4, 4, "4") r5 := f5(1) assertequal(r5, 5, "5") r6 := f6(1) assertequal(r6, 6, "6") var r7 int var s7 float64 r7, s7 = f7(1) assertequal(r7, 7, "r7") assertequal(int(s7), 7, "s7")
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Feb 24 05:24:24 UTC 2012 - 1.4K bytes - Viewed (0) -
test/func.go
return (t.x + a) * (t.y + int(b)) } func f9(a int) (i int, f float32) { i = 9 f = 9.0 return } func main() { f1() f2(1) r3 := f3(1, 2) assertequal(r3, 3, "3") r4 := f4(0, 2, 3.0) assertequal(r4, 4, "4") r5 := f5(1) assertequal(r5, 5, "5") r6 := f6(1) assertequal(r6, 6, "6") r7, s7 := f7(1) assertequal(r7, 7, "r7") assertequal(int(s7), 7, "s7") r8, s8 := f8(1)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Sun Feb 19 03:28:53 UTC 2012 - 1.3K bytes - Viewed (0) -
src/test/java/org/codelibs/fess/entity/GeoInfoTest.java
request.setParameter("geo.location.2.distance", "1km"); final GeoInfo geoInfo = new GeoInfo(request); String result =
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Thu Feb 22 01:37:57 UTC 2024 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_tpu_model_to_cpu.mlir
%cst_0 = "tf.Const"() {device = "", value = dense<[0, 3, 1, 2]> : tensor<4xi32>} : () -> tensor<4xi32> %cst_1 = "tf.Const"() {_tpu_replicate = "cluster", device = "", value = dense<[0, 2, 3, 1]> : tensor<4xi32>} : () -> tensor<4xi32> %0 = "tf.Cast"(%arg0) {Truncate = false, device = ""} : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3xbf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc
%input_scale = "tf.Const"() { value = dense<0.588> : tensor<f32> } : () -> tensor<f32> %input_zp = "tf.Const"() { value = dense<42> : tensor<i32> } : () -> tensor<i32> %filter_scale = "tf.Const"() { value = dense<0.0235> : tensor<f32> } : () -> tensor<f32> %filter_zp = "tf.Const"() { value = dense<0> : tensor<i32> } : () -> tensor<i32> %accum_scale = "tf.Const"() { value = dense<0.013818> : tensor<f32> } : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 03 01:03:21 UTC 2024 - 35.8K bytes - Viewed (0) -
src/internal/fuzz/encoding_test.go
} }) } } // BenchmarkMarshalCorpusFile measures the time it takes to serialize byte // slices of various sizes to a corpus file. The slice contains a repeating // sequence of bytes 0-255 to mix escaped and non-escaped characters. func BenchmarkMarshalCorpusFile(b *testing.B) { buf := make([]byte, 1024*1024) for i := 0; i < len(buf); i++ { buf[i] = byte(i) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Mar 07 00:20:34 UTC 2024 - 8.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/defer_activation_transpose.mlir
} // CHECK-SAME: (%[[ARG_0:.+]]: tensor<1x3x3x4xf32>) -> tensor<1x4x3x3xf32> // CHECK-DAG: %[[CONST_0:.+]] = stablehlo.constant // CHECK-DAG: %[[TRANSPOSE_0:.+]] = stablehlo.transpose %[[CONST_0]], dims = [0, 2, 3, 1] : (tensor<1x4x3x3xf32>) -> tensor<1x3x3x4xf32> // Check that the shape of the add is changed to reflect the deferred transpose. // CHECK: %[[ADD_0:.+]] = stablehlo.add %[[ARG_0]], %[[TRANSPOSE_0]] : tensor<1x3x3x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 14.6K bytes - Viewed (0)