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Results 1 - 4 of 4 for 10x10x10x10xf32 (0.19 sec)
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tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
func.func @testBatchMatMulV2InvalidBroadcastingBatchDimensionWithSameRank(%lhs: tensor<10x2x5x10xf32>, %rhs: tensor<10x10x10x10xf32>) { // expected-error @+1 {{found incompatible broadcast batch dimensions for lhs shape 'tensor<10x2x5x10xf32>' and rhs shape 'tensor<10x10x10x10xf32>'}} %0 = "tf.BatchMatMulV2"(%lhs, %rhs) : (tensor<10x2x5x10xf32>, tensor<10x10x10x10xf32>) -> tensor<10x10xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
} // ----- func.func @testPReluWrongOutputRank(%arg0: tensor<10x10x10x10xf32>, %arg1: tensor<10x10x10x10xf32>) -> tensor<10x10xf32> { // expected-error @+1 {{'tfl.prelu' op result type '10x10' not broadcast compatible with broadcasted operands's shapes '10x10x10x10'}} %0 = "tfl.prelu"(%arg0, %arg1) : (tensor<10x10x10x10xf32>, tensor<10x10x10x10xf32>) -> tensor<10x10xf32> func.return %0 : tensor<10x10xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc
padding = "SAME", rhs_dilation = [1, 1], strides = [1, 1, 1, 1] } : (tensor<2x10x10x10xf32>, tensor<3x3x10x20xf32>) -> tensor<2x10x10x20xf32> return %0 : tensor<2x10x10x20xf32> })mlir"; constexpr absl::string_view kProgram = R"mlir( func.func @main(%input: tensor<2x10x10x10xf32>, %filter: tensor<3x3x10x20xi8>) -> tensor<2x10x10x20xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 03 01:03:21 UTC 2024 - 35.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
} // ----- func.func @rfft2d(%arg0: tensor<10x20x10x30xf32>, %arg1: tensor<2xi32>) -> tensor<10x20x10x30xcomplex<f32>> { %0 = "tf.RFFT2D"(%arg0, %arg1) : (tensor<10x20x10x30xf32>, tensor<2xi32>) -> tensor<10x20x10x30xcomplex<f32>> func.return %0 : tensor<10x20x10x30xcomplex<f32>> // CHECK-LABEL: rfft2d // CHECK: "tfl.rfft2d"(%arg0, %arg1) : (tensor<10x20x10x30xf32>, tensor<2xi32>) -> tensor<10x20x10x30xcomplex<f32>> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0)