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Results 11 - 15 of 15 for 40x10xf32 (0.17 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla_selective_quantization.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/group_by_dialect.mlir
// CHECK-NOT: call // ----- func.func @handles_mhlo_regions() { "glue.someop"() : () -> () %4 = mhlo.constant dense<0.0> : tensor<200x10xf32> %13 = mhlo.constant dense<-0.0> : tensor<f32> %29 = mhlo.reduce(%4 init: %13) applies mhlo.add across dimensions = [1] : (tensor<200x10xf32>, tensor<f32>) -> tensor<200xf32> return } // CHECK: func @handles_mhlo_regions // CHECK: call [[name:@[^(]*]](
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 28 23:43:21 UTC 2022 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_ptq.mlir
// ----- module { func.func @same_scale_ptq_test(%arg0: tensor<*xf32>) -> tensor<*xf32> { %cst = arith.constant dense<[-1, 144]> : tensor<2xi32> %cst_1 = arith.constant dense<1.0> : tensor<144x10xf32> %cst_2 = arith.constant dense<0.1> : tensor<10xf32> %0 = "quantfork.stats"(%arg0) { layerStats = dense<[-1.28, 1.28]> : tensor<2xf32> } : (tensor<*xf32>) -> tensor<*xf32> %1 = "tf.MaxPool"(%0) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 01 10:21:29 UTC 2023 - 9.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/cast_bf16_ops_to_f32.mlir
// CHECK: return %[[identity]] : tensor<1x3x2x2xf32> func.func @cast_bf16_matmul_to_fp32(%arg0: tensor<1x10xf32>) -> (tensor<1x2xf32>) { %cst = "tf.Const"() {device = "", value = dense<1.000000e+01> : tensor<10x2xbf16>} : () -> tensor<10x2xbf16> %0 = "tf.Cast"(%arg0) {Truncate = false, device = ""} : (tensor<1x10xf32>) -> tensor<1x10xbf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 8.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/order_by_dialect.mlir
%11 = "mhlo.dot"(%10, %5) : (tensor<32x3920xf32>, tensor<3920x10xf32>) -> tensor<32x10xf32> %12 = "mhlo.broadcast_in_dim"(%2) <{broadcast_dimensions = dense<1> : tensor<1xi64>}> : (tensor<10xf32>) -> tensor<32x10xf32> %13 = mhlo.add %11, %12 : tensor<32x10xf32> %14 = mhlo.maximum %13, %0 : tensor<32x10xf32> return %14 : tensor<32x10xf32> } // CHECK: ReadVariableOp // CHECK: mhlo.convolution // CHECK: mhlo.add
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 7.6K bytes - Viewed (0)